diff --git a/apps/CUP3D_LES_HIT/README.rst b/apps/CUP3D_LES_HIT/README.rst deleted file mode 100644 index bef028ff..00000000 --- a/apps/CUP3D_LES_HIT/README.rst +++ /dev/null @@ -1,90 +0,0 @@ -Automating Turbulence Modeling by Multi-Agent Reinforcement Learning -******************************************************************** - -This folder contains all training and post-processing scripts, as well as settings file, used to obtain the results in the paper -`Automating Turbulence Modeling by Multi-Agent Reinforcement Learning `_. -Because ``smarties`` is a library, the main executable that simulates the flow is produced by -`CubismUP 3D `_. -We refer to that page for instructions regarding install and dependencies. -The dependencies of ``CubismUP 3D`` are a superset of those of ``smarties``. - -All the scripts in this folder assume that: - -- The directories of ``smarties`` and ``CubismUP 3D`` are placed at the same path (e.g. ``${HOME}/``). -- ``smarties`` is installed and ``CubismUP 3D`` can be compiled without issues. - -Core task description -===================== -The ``CubismUP 3D`` file ``source/main_RL_HIT.cpp`` produces the main executable. -It describes the environment loop and parses all hyper-parameters. -This file interacts with 3 objects: - -- The class ``smarties::Communicator`` receives a description of the RL problem and handles the state-action loop for all the agents. -- The class ``cubismup3d::Simulation`` comprises the solver and defines the operations performed on each (simulation) time-step. -- The class ``cubismup3d::SGS_RL`` describes the operations performed to update the Smagorinsky coefficients. This class describes both the interpolation of the actions onto the grid and the calculation of the state components. - - -In this folder, the file ``setup.sh`` is read by ``smarties.py`` and prepares all hyper-parameters, and simulation description. - -Training script -=============== -Training can be easily started, with default hyper-parameters, as: - -.. code:: shell - - smarties.py CUP3D_LES_HIT -r training_directory_name - -In order to reproduce the number of gradient steps of the paper on a personal computer, the script may run for days, -with large uncertainty due to the specific processor and software stack. We relied on the computational resources provided by -the Swiss National Supercomputing Centre (CSCS) (on the Piz Daint supercomputer). -We provide a set of trained policy parameters and restart folder. -The helper file ``launch_all_les_blocksizes.sh`` was used to evaluate multiple hyper-parameter choices. - -By default, ``smarties.py`` will place all run directories in ``${SMARTIES_ROOT}/runs``, but can be changed with -the argument ``--runprefix``. - -When training, the terminal output will be that of ``smarties.py``, which tracks training progress, not of ``CubismUP 3D``. -The terminal output of the simulations is redirected to, for example, ``training_directory_name/simulation_000_00000/output`` and -all the simulation snapshots and post-processing to, for example, ``training_directory_name/simulation_000_00000/run_00000000/``. -During training, no post-processing (e.g. energy spectra, dissipation, other integral statistics) are stored to file. - -Running the trained model -========================== -Once trained, the policy can be used to perform any simulation. This can be done for example as: - -.. code:: shell - - smarties.py CUP3D_LES_HIT -r evaluation_directory_name --restart training_directory_name --nEvalEpisodes 1 - -This process should take few minutes. Again, the terminal output will be that of ``smarties.py``, -which, if everything works correctly, will not be very informative. -To see the terminal output of the simulation itself prepend ``--printAppStdout`` to the run command. - -Because we specificed that we evaluate the policy for 1 episode (or N), training is disabled and the policy is fixed. -However, the ``CubismUP_3D`` side will run identically as for training, which means that it will simulate a random Reynolds number. -Using the script - -.. code:: shell - - python3 eval_all_train.py training_directory_name - -will evaluate the policy saved in ``training_directory_name`` at Reynolds in log-intervals from 60 to 205, each in a separate directory. -Each evaluation directory will be named according to the Reynolds like: ``training_directory_name_RE%03d``. -To evaluate the trained policy provided with this repository, you can use the command: - -.. code:: shell - - python3 eval_all_train.py Trained_FFNN_4blocks_08act --restartsPath ./ - -This problem should take several minutes per Reynolds number, again depending on the software stack and CPU (should be under one hour with a modern laptop per simulation). To speed things up, you may evaluate on a subset of Reynolds by modidfying the ``eval_all_train.py`` script itself. - -Evaluating the trained policy -============================== -From the list of directories, the energy spectra can be plotted as - -.. code:: shell - - python3 plot_eval_all_les.py training_directory_name --runspath /rel/path/to/runs/ --res 65, 76, 88, 103, 120, 140, 163 - -Here we need to write the relative path to where ``smarties.py`` has created the evaluation runs. -By default, all the directories were placed in ``${SMARTIES_ROOT}/runs``. diff --git a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_1stMom.raw b/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_1stMom.raw deleted file mode 100644 index afb4a636..00000000 Binary files a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_1stMom.raw and /dev/null differ diff --git a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_2ndMom.raw b/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_2ndMom.raw deleted file mode 100644 index 54b7beb8..00000000 Binary files a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_2ndMom.raw and /dev/null differ diff --git a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_weights.raw b/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_weights.raw deleted file mode 100644 index b1ff6b29..00000000 Binary files a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_net_weights.raw and /dev/null differ diff --git a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_scaling.raw b/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_scaling.raw deleted file mode 100644 index 01c39099..00000000 Binary files a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/agent_00_scaling.raw and /dev/null differ diff --git a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/settings.json b/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/settings.json deleted file mode 100755 index 4b5f019b..00000000 --- a/apps/CUP3D_LES_HIT/Trained_FFNN_4blocks_08act/settings.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1000000, - "maxTotObsNum": 1000000, - "nnLayerSizes": [64, 64], - "obsPerStep": 64, - "ERoldSeqFilter": "oldest", - "nnFunc": "Tanh", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/compareDirToReferenceSpectrum.py b/apps/CUP3D_LES_HIT/compareDirToReferenceSpectrum.py deleted file mode 100755 index 93a3bb1e..00000000 --- a/apps/CUP3D_LES_HIT/compareDirToReferenceSpectrum.py +++ /dev/null @@ -1,64 +0,0 @@ -#!/usr/bin/env python3.6 -import re, argparse, numpy as np, glob -import matplotlib.pyplot as plt -from scipy.optimize import curve_fit -from extractTargetFilesNonDim import getAllData -from extractTargetFilesNonDim import epsNuFromRe -from computeMeanIntegralQuantitiesNonDim import findAllParams -from computeMeanIntegralQuantitiesNonDim import readAllFiles -from computeSpectraNonDim import readAllSpectra - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] - -def main_integral(targetpath, simdir, relambda, simnblocks): - nSimBins = simnblocks * 16//2 - 1 - eps, nu = epsNuFromRe(relambda) - runData = getAllData(simdir, eps, nu, nSimBins, 1) - vecParams, vecMean, vecStd = readAllFiles(targetpath, [relambda]) - vecSpectra, vecEnStdev, fullSpectra, vecCovLogE = readAllSpectra(targetpath, [relambda]) - - plt.figure() - axes = [plt.subplot(1, 1, 1)] - axes[0].set_xlabel(r'$k \eta$') - axes[0].grid() - axes[0].set_ylabel(r'$\Delta E(k) / E(k)$') - - ci = 0 - nyquist, nruns = vecSpectra.shape[0], vecSpectra.shape[1] - print(nyquist) - - leta = np.power(nu**3 / eps, 0.25) - Ekscal = np.power(nu**5 * eps, 0.25) - nyquist = simnblocks * 16 // 2 - 1 - - logE = np.log(runData['spectra']) - logE = np.mean(logE, axis=0) - logEtgt = vecSpectra[:nyquist, 0] - print(logE.shape, logEtgt.shape, vecEnStdev.shape) - dLogE = np.zeros(nyquist) - for i in range(nyquist): - dLogE[i] = (logE[i] - logEtgt[i]) / vecEnStdev[i] - - K = np.arange(1, nyquist+1, dtype=np.float64) * leta - axes[0].plot(K, dLogE) - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targets', help="Directory containing the target files") - parser.add_argument('--sim', help="Directory containing the dim to evaluate.") - parser.add_argument('--re', type=int, help="Reynolds_lambda number of simulation.") - parser.add_argument('--nblocks', type=int, help="Number of blocks per dim in simulation.") - args = parser.parse_args() - - main_integral(args.targets, args.sim, args.re, args.nblocks) diff --git a/apps/CUP3D_LES_HIT/computeDerivedQuantitiesNonDim.py b/apps/CUP3D_LES_HIT/computeDerivedQuantitiesNonDim.py deleted file mode 100755 index fd98183f..00000000 --- a/apps/CUP3D_LES_HIT/computeDerivedQuantitiesNonDim.py +++ /dev/null @@ -1,185 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob -#from sklearn.neighbors.kde import KernelDensity -import matplotlib.pyplot as plt -from scipy.optimize import curve_fit - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Integral Length Scale' -] - #'Velocity Gradient Stdev', - -def findAllParams(path): - NUs, EPSs = set(), set() - alldirs = glob.glob(path+'/scalars_*') - for dirn in alldirs: - EPSs.add(re.findall('EPS\d.\d\d\d', dirn)[0][3:]) - NUs. add(re.findall('NU\d.\d\d\d\d', dirn)[0][2:]) - NUs, EPSs = list( NUs), list(EPSs) - NUs.sort() - EPSs.sort() - for i in range(len(NUs)): NUs[i] = float(NUs[i]) - for i in range(len(EPSs)): EPSs[i] = float(EPSs[i]) - return NUs, EPSs - -def readAllFiles(path, NUs, EPSs): - nNus, nEps, nTot = len(NUs), len(EPSs), len(NUs) * len(EPSs) - vecParams = np.zeros([2, nTot]) - vecMean, vecStd = np.zeros([nQoI, nTot]), np.zeros([nQoI, nTot]) - - ind = 0 - for ei in range(nEps): - for ni in range(nNus): - vecParams[0, ind] = EPSs[ei] - vecParams[1, ind] = NUs[ni] - file = open('%s/scalars_EPS%.03f_NU%.04f'%(path, EPSs[ei], NUs[ni]),'r') - - line = file.readline().split() # skip - assert (line[0] == 'eps' and np.abs( float(line[1]) - EPSs[ei] ) < 1e-8) - - line = file.readline().split() # skip - assert (line[0] == 'nu' and np.abs( float(line[1]) - NUs[ni] ) < 1e-8) - - line = file.readline().split() - vecMean[0, ind], vecStd[0, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'dt') - - line = file.readline().split() - vecMean[1, ind], vecStd[1, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'tKinEn') - - line = file.readline().split() - vecMean[6, ind], vecStd[6, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'epsVis') - - line = file.readline().split() - vecMean[7, ind], vecStd[7, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'epsTot') - - line = file.readline().split() - vecMean[3, ind], vecStd[3, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'lInteg') - - line = file.readline().split() - vecMean[5, ind], vecStd[5, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'tInteg') - - line = file.readline().split() - vecMean[2, ind], vecStd[2, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'avg_Du') - - line = file.readline().split() - vecMean[4, ind], vecStd[4, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'std_Du') - - line = file.readline().split() - assert (line[0] == 'ReLamd') - #if float(line[1])<120 and float(line[1])>60 : print(vecParams[:,ind]) - - file.close() - ind = ind + 1 - - # overwrite field 3 with h/lambda # std::sqrt(10 * nu * tke / dissip_visc) - coef = 10 * vecParams[1,:] / vecParams[0,:] - vecMean[2,:] = np.sqrt(coef * vecMean[1,:]) - # Var F(x) ~ (F'(meanX))^2 Var x - vecStd [2,:] = vecStd[1,:] * (h * 0.5 * coef / (vecMean[2,:] ** 3) ) - - # overwrite field 4 with dt * ( eps / tke ) - #vecMean[5,:] = (vecMean[7,:] - vecMean[6,:]) / vecMean[7,:] - #vecStd[5,:] = vecStd[6,:] - # Var F(x) ~ (F'(meanX))^2 Var x - #vecStd [4,:] = vecStd[2,:] * (h * 0.5 * coef / (vecMean[3,:] ** 3) ) ** 2 - - return vecParams, vecMean, vecStd - -def fitFunction(inps, dataM, dataV, row, func): - if dataV is None : popt, pcov = curve_fit(func, inps, dataM[row,:]) - else: - popt, pcov = curve_fit(func, inps, dataM[row,:], sigma = dataV[row,:]) - return popt - -def main_integral(path): - NUs, EPSs = findAllParams(path) - nNus, nEps = len(NUs), len(EPSs) - vecParams, vecMean, vecStd = readAllFiles(path, NUs, EPSs) - - def fitTKE(x, A,B,C): return A * np.power(x[0], 2/3.0) - def fitREL(x, A,B,C): return A * np.power(x[0], 1/6.0) * np.power(x[1],-0.5) - def fitTint(x, A,B,C): return A * np.power(x[0],-1/3.0) * np.power(x[1],1/6.0) - def fitLint(x, A,B,C): return A * np.power(x[0],-1/24.0) * np.power(x[1], 1/12.0) - def fitGrad(x, A,B,C): return A * np.power(x[0], 0.5) * np.power(x[1], -0.5) - def fitFun(x, A,B,C): return A * np.power(x[0], B) * np.power(x[1], C) - def fitFunShift(x, A,B,C,D): return B + A * np.power(x[0], -1/16.0) * np.power(x[1], 1/6.0) - def fitFunDT(x, A,B,C): return A * np.power(x[0], -1/3.0) * np.power(x[1], 1/8.0) - - nQoItoPlot = len(QoI) - - plt.figure() - axes = [] - for i in range(2*nQoItoPlot) : - axes = axes + [ plt.subplot(2, nQoItoPlot, i+1) ] - for ax in axes: ax.grid() - for ax in axes[:nQoItoPlot] : ax.set_xticklabels([]) - for ax in axes[nQoItoPlot:] : ax.set_xlabel('Energy Injection Rate') - - for j in range(nQoItoPlot): - funsMean = fitFun - #if j == 0: funsMean = fitFunDT - if j == 4: funsMean = fitFunShift - if j == 1: funsMean = fitTKE - funsStdv = fitFun - pOptMean = fitFunction(vecParams, vecMean, vecStd, j, funsMean ) - pOptStdv = fitFunction(vecParams, vecStd, None, j, funsStdv ) - print('%s fit:' % QoI[j], pOptMean) - axes[j].set_ylabel('%s' % QoI[j]) - - for ni in range(nNus): - E, M, S, fitM, fitS = [], [], [], [], [] - for ei in range(nEps): - for i in range(vecParams.shape[1]): - eps, nu = vecParams[0, i], vecParams[1, i] - if np.abs(EPSs[ei]-eps) > 0 or np.abs( NUs[ni]- nu) > 0 : continue - E = E + [ eps ] - M = M + [ vecMean[j, i] ] - S = S + [ vecStd [j, i] ] - if len(pOptMean) == 3: - coefA, coefB, coefC = pOptMean[0], pOptMean[1], pOptMean[2] - fitM += [funsMean([eps, nu], coefA, coefB, coefC) ] - else: - cA, cB, cC, cD = pOptMean[0], pOptMean[1], pOptMean[2], pOptMean[3] - fitM += [funsMean([eps, nu], cA, cB, cC, cD) ] - coefA, coefB, coefC = pOptStdv[0], pOptStdv[1], pOptStdv[2] - fitS += [funsStdv([eps, nu], coefA, coefB, coefC) ] - - if len(E) is 0: - print('emnpty NU value') - continue - E, M, S = np.asarray(E), np.asarray(M), np.asarray(S) - fitM, fitS = np.asarray(fitM), np.asarray(fitS) - axes[j].fill_between(E, M-S, M+S, facecolor=colors[ni], alpha=0.5) - axes[j].plot(E, M, color=colors[ni], label='nu=%f'%NUs[ni]) - axes[j].plot(E, fitM, 'o', color=colors[ni]) - axes[j].set_xscale('log') - axes[j].set_yscale('log') - axes[j].legend() - axes[j+nQoItoPlot].plot(E, S, color=colors[ni]) - axes[j+nQoItoPlot].plot(E, fitS, 'o', color=colors[ni]) - axes[j+nQoItoPlot].set_xscale('log') - axes[j+nQoItoPlot].set_yscale('log') - #for ai in range(6):for ni in range(len(NUs)):for li in range(len(EXTs)): - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targets', - help="Simulation directory containing the 'Analysis' folder") - args = parser.parse_args() - - main_integral(args.targets) diff --git a/apps/CUP3D_LES_HIT/computeMeanIntegralQuantitiesNonDim.py b/apps/CUP3D_LES_HIT/computeMeanIntegralQuantitiesNonDim.py deleted file mode 100755 index edce9401..00000000 --- a/apps/CUP3D_LES_HIT/computeMeanIntegralQuantitiesNonDim.py +++ /dev/null @@ -1,175 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os -#from sklearn.neighbors.kde import KernelDensity -import matplotlib.pyplot as plt -from scipy.optimize import curve_fit - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] - -def findAllParams(fpath): - REs = set() - alldirs = glob.glob(fpath+'/scalars_*') - for dirn in alldirs: REs.add(re.findall('RE\d\d\d', dirn)[0][2:]) - REs = list(REs) - print(REs) - REs.sort() - for i in range(len(REs)): REs[i] = float(REs[i]) - return REs - -def readAllFiles(path, REs): - nRes = len(REs) - vecParams = np.zeros([3, 0]) - vecMean, vecStd = np.zeros([nQoI, 0]), np.zeros([nQoI, 0]) - - ind = 0 - for ei in range(nRes): - fname = '%s/scalars_RE%03d' % (path, REs[ei]) - if( os.path.isfile(fname) == False) : continue - vecParams = np.append(vecParams, np.zeros([3, 1]), axis=1) - vecMean = np.append( vecMean, np.zeros([nQoI, 1]), axis=1) - vecStd = np.append( vecStd, np.zeros([nQoI, 1]), axis=1) - - vecParams[2][ind] = REs[ei] - file = open(fname,'r') - - line = file.readline().split() - vecParams[0][ind] = float(line[1]) - assert (line[0] == 'eps') - - line = file.readline().split() - vecParams[1][ind] = float(line[1]) - assert (line[0] == 'nu') - - line = file.readline().split() - vecMean[0, ind], vecStd[0, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'dt') - - line = file.readline().split() - vecMean[1, ind], vecStd[1, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'tKinEn') - - line = file.readline().split() - vecMean[6, ind], vecStd[6, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'epsVis') - - line = file.readline().split() - vecMean[7, ind], vecStd[7, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'epsTot') - - line = file.readline().split() - vecMean[4, ind], vecStd[4, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'lInteg') - - line = file.readline().split() - vecMean[5, ind], vecStd[5, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'tInteg') - - line = file.readline().split() - vecMean[2, ind], vecStd[2, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'avg_Du') - - line = file.readline().split() - vecMean[3, ind], vecStd[3, ind] = float(line[1]), float(line[2]) - assert (line[0] == 'std_Du') - - file.close() - ind = ind + 1 - - # overwrite field 3 with h/lambda # std::sqrt(10 * nu * tke / dissip_visc) - #coef = 10 * vecParams[1,:] / vecParams[0,:] - #vecMean[2,:] = np.sqrt(coef * vecMean[1,:]) - #vecMean[2,:] = np.power(np.power(vecParams[1,:],3) / vecParams[0,:], 0.25) - #vecMean[2,:] = np.power(vecParams[1,:] * vecParams[0,:], 0.25) - #vecMean[2,:] = np.power(vecParams[1,:] / vecParams[0,:], 0.5) - # Var F(x) ~ (F'(meanX))^2 Var x - #vecStd [2,:] = 1 #vecStd[1,:] * (h * 0.5 * coef / (vecMean[2,:] ** 3) ) - - return vecParams, vecMean, vecStd - -def fitFunction(inps, dataM, dataV, row, func): - if dataV is None : - popt, pcov = curve_fit(func, inps, dataM[row,:]) - else: - popt, pcov = curve_fit(func, inps, dataM[row,:], sigma = dataV[row,:]) - return popt - -def main_integral(path): - REs = findAllParams(path) - nRes = len(REs) - vecParams, vecMean, vecStd = readAllFiles(path, REs) - - def fitTKE(x, A,B,C): return A * np.power(x[0], 2/3.0) - def fitREL(x, A,B,C): return A * np.power(x[0], 1/6.0) * np.power(x[1],-0.5) - def fitTint(x, A,B,C): return A * np.power(x[0],-1/3.0) * np.power(x[1],1/6.0) - def fitLint(x, A,B,C): return A * np.power(x[0],-1/24.0) * np.power(x[1], 1/12.0) - def fitGrad(x, A,B,C): return A * np.power(x[0], 0.5) * np.power(x[1], -0.5) - def fitFun(x, A,B,C): return A * np.power(x[0], B) * np.power(x[1], C) - - nQoItoPlot = len(QoI) - - plt.figure() - axes = [] - for i in range(2*nQoItoPlot) : - axes = axes + [ plt.subplot(2, nQoItoPlot, i+1) ] - for ax in axes: ax.grid() - for ax in axes[:nQoItoPlot] : ax.set_xticklabels([]) - for ax in axes[nQoItoPlot:] : ax.set_xlabel('Energy Injection Rate') - - ni = 0 - for j in range(nQoItoPlot): - funsMean = fitFun - #if j == 0: funsMean = fitFunDT - #if j == 4: funsMean = fitFunShift - if j == 1: funsMean = fitTKE - funsStdv = fitFun - pOptMean = fitFunction(vecParams, vecMean, vecStd, j, funsMean ) - pOptStdv = fitFunction(vecParams, vecStd, None, j, funsStdv ) - print('%s fit:' % QoI[j], pOptMean) - axes[j].set_ylabel('%s' % QoI[j]) - - E, M, S, fitM, fitS = [], [], [], [], [] - for k in range(nRes): - for i in range(vecParams.shape[1]): - eps, nu, re = vecParams[0, i], vecParams[1, i], vecParams[2, i] - if np.abs(REs[k]-re) > 0 : continue - E = E + [ REs[k] ] - M = M + [ vecMean [j, i] ] - S = S + [ vecStd [j, i] ] - coefA, coefB, coefC = pOptMean[0], pOptMean[1], pOptMean[2] - fitM += [ funsMean([eps, nu], coefA, coefB, coefC) ] - coefA, coefB, coefC = pOptStdv[0], pOptStdv[1], pOptStdv[2] - fitS += [ funsStdv([eps, nu], coefA, coefB, coefC) ] - - if len(E) is 0: assert(False) - - E, M, S = np.asarray(E), np.asarray(M), np.asarray(S) - fitM, fitS = np.asarray(fitM), np.asarray(fitS) - axes[j].fill_between(E, M-S, M+S, facecolor=colors[ni], alpha=0.5) - axes[j].plot(E, M, color=colors[ni]) - axes[j].plot(E, fitM, 'o', color=colors[ni]) - axes[j].set_xscale('log') - axes[j].set_yscale('log') - - axes[j+nQoItoPlot].plot(E, S, color=colors[ni]) - axes[j+nQoItoPlot].plot(E, fitS, 'o', color=colors[ni]) - axes[j+nQoItoPlot].set_xscale('log') - axes[j+nQoItoPlot].set_yscale('log') - #for ai in range(6):for ni in range(len(NUs)):for li in range(len(EXTs)): - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targets', - help="Simulation directory containing the 'Analysis' folder") - args = parser.parse_args() - - main_integral(args.targets) diff --git a/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDim.py b/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDim.py deleted file mode 100755 index 3da97f44..00000000 --- a/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDim.py +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os -#from sklearn.neighbors.kde import KernelDensity -import matplotlib.pyplot as plt - -from computeMeanIntegralQuantitiesNonDim import findAllParams -from computeMeanIntegralQuantitiesNonDim import readAllFiles - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] - -def main_integral(path): - REs = findAllParams(path) - nRes = len(REs) - vecParams, vecMean, vecStd = readAllFiles(path, REs) - - nQoItoPlot = len(QoI) - fig, axes = plt.subplots(2,2, sharex=True, figsize=[6, 3], frameon=False, squeeze=True) - - for ax in axes.ravel(): ax.grid() - #for ax in axes[:nQoItoPlot] : ax.set_xticklabels([]) - #for ax in axes[nQoItoPlot:] : ax.set_xlabel('Energy Injection Rate') - nNonDimTkeMean, nNonDimTkeStd = np.zeros(nRes), np.zeros(nRes) - nNonDimLintMean, nNonDimLintStd = np.zeros(nRes), np.zeros(nRes) - nNonDimViscMean, nNonDimViscStd = np.zeros(nRes), np.zeros(nRes) - nNonDimTotMean, nNonDimTotStd = np.zeros(nRes), np.zeros(nRes) - - for k in range(nRes): - for i in range(vecParams.shape[1]): - eps, nu, re = vecParams[0, i], vecParams[1, i], vecParams[2, i] - if np.abs(REs[k]-re) > 0 : continue - eta = np.power(nu*nu*nu/eps, 0.25) - uprime = np.sqrt(2.0/3.0 * vecMean[1,i]); - lambd = np.sqrt(15 * nu / eps) * uprime - Kscal = np.power(eps, 2.0/3.0) - nNonDimTkeMean[k] = vecMean[1, i] / Kscal - nNonDimTkeStd[k] = vecStd [1, i] / Kscal - nNonDimLintMean[k] = vecMean[4, i] / eta - nNonDimLintStd[k] = vecStd [4, i] / eta - nNonDimViscMean[k] = vecMean[6, i] / eps - nNonDimViscStd[k] = vecStd [6, i] / eps - nNonDimTotMean[k] = vecMean[7, i] / eps - nNonDimTotStd[k] = vecStd [7, i] / eps - - dataM = [nNonDimTkeMean, nNonDimLintMean, nNonDimViscMean, nNonDimTotMean] - dataS = [nNonDimTkeStd, nNonDimLintStd, nNonDimViscStd, nNonDimTotStd] - for k in range(4): - i, j = k // 2, k % 2 - top, bot = dataM[k] + dataS[k], dataM[k] - dataS[k] - axes[i][j].fill_between(REs, bot, top, facecolor=colors[0], alpha=0.5) - axes[i][j].plot(REs, dataM[k], 'o-', color=colors[0]) - - for ax in axes.ravel(): ax.set_xscale('log') - axes[1][0].set_xlabel(r'$Re_\lambda$') - axes[1][1].set_xlabel(r'$Re_\lambda$') - - axes[0][0].set_ylabel(r'$k / \epsilon^{3/2}$') - axes[0][1].set_ylabel(r'$l_{int} / \eta$') - axes[1][0].set_ylabel(r'$\epsilon_{visc} / \epsilon$') - axes[1][1].set_ylabel(r'$\epsilon_{tot} / \epsilon$') - - axes[0][1].set_yscale('log') - fig.tight_layout() - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targets', - help="Simulation directory containing the 'Analysis' folder") - args = parser.parse_args() - - main_integral(args.targets) diff --git a/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDimTrained.py b/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDimTrained.py deleted file mode 100755 index 0a11d412..00000000 --- a/apps/CUP3D_LES_HIT/computeNonDimQuantitiesNonDimTrained.py +++ /dev/null @@ -1,163 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os, matplotlib.pyplot as plt - -from computeMeanIntegralQuantitiesNonDim import findAllParams -from computeMeanIntegralQuantitiesNonDim import readAllFiles - -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -#from plot_eval_all_les import findBestHyperParams - -colors = ['#e31a1c', '#1f78b4', '#33a02c', '#6a3d9a', '#ff7f00', '#b15928', - '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] - -def findBestHyperParams(path, re, token, logSpectra, logEnStdev): - bestDir, bestLL, bestStats = None, -1e9, None - eps, nu = epsNuFromRe(re) - # allow token to be actually a path - if token[0] == '/': alldirs = glob.glob(token + '*' + ('RE%03d' % re) + '*') - else: alldirs = glob.glob(path + '/*' + ('RE%03d' % re) + '*') - for dirn in alldirs: - if token not in dirn: continue - # if token did not produce any stats file (e.g. not applicable to dns): - if bestDir is None: bestDir = dirn - runData = getAllData(dirn, eps, nu, 15, fSkip=1) - avgLogSpec = np.mean(np.log(runData['spectra']), axis=0) - #print(avgLogSpec.shape, logSpectra.shape, logEnStdev.shape) - LL = - np.sum( (avgLogSpec[:15] - logSpectra) / logEnStdev ) ** 2 - if LL > bestLL: bestDir, bestLL = dirn, LL - assert bestDir is not None, "token %s - %d not found" % (token, re) - return bestDir - -def getSGSdissip(dirname, dissip_visc, nu): - fname = dirname + '/sgsAnalysis.raw' - rl_fname = dirname + '/simulation_000_00000/run_00000000/sgsAnalysis.raw' - if os.path.isfile(fname) : f = np.fromfile(fname, dtype=np.float64) - elif os.path.isfile(rl_fname) : f = np.fromfile(rl_fname, dtype=np.float64) - else : assert False, 'sgsAnalysis file not found' - if f.size % 904 is 0 : nBINS = 900 - else : nBINS = 90 - nSAMPS = f.size // (nBINS + 4) - f = f.reshape([nSAMPS, nBINS + 4]) - dissip_SGS_coef = np.mean(f[:,1], axis=0) - return dissip_visc * (dissip_SGS_coef / nu) - -def main_integral(runspath, target, tokens): - REs = findAllParams(target) - nRes, nBins = len(REs), 2 * 16//2 - 1 - vecParams, vecMean, vecStd = readAllFiles(target, REs) - - nQoItoPlot = len(QoI) - fig, axes = plt.subplots(1,4, sharex=True, figsize=[12, 3], frameon=False, squeeze=True) - - for ax in axes.ravel(): ax.grid() - #for ax in axes[:nQoItoPlot] : ax.set_xticklabels([]) - #for ax in axes[nQoItoPlot:] : ax.set_xlabel('Energy Injection Rate') - nNonDimTkeMean, nNonDimTkeStd = np.zeros(nRes), np.zeros(nRes) - nNonDimLintMean, nNonDimLintStd = np.zeros(nRes), np.zeros(nRes) - nNonDimViscMean, nNonDimViscStd = np.zeros(nRes), np.zeros(nRes) - nNonDimTotMean, nNonDimTotStd = np.zeros(nRes), np.zeros(nRes) - LintMean = np.zeros(nRes) - - for k in range(nRes): - for i in range(vecParams.shape[1]): - eps, nu, re = vecParams[0, i], vecParams[1, i], vecParams[2, i] - if np.abs(REs[k]-re) > 0 : continue - eta = np.power(nu*nu*nu/eps, 0.25) - uprime = np.sqrt(2.0/3.0 * vecMean[1,i]) - lambd = np.sqrt(15 * nu / eps) * uprime - Kscal = np.power(eps, 2.0/3.0) - LintMean[k] = vecMean[4, i] - nNonDimTkeMean[k] = vecMean[1, i]/Kscal - nNonDimTkeStd[k] = vecStd [1, i]/Kscal - nNonDimLintMean[k] = vecMean[4, i] / eta - nNonDimLintStd[k] = vecStd [4, i] / eta - nNonDimViscMean[k] = vecMean[6, i] / eps - nNonDimViscStd[k] = vecStd [6, i] / eps - nNonDimTotMean[k] = vecMean[7, i] / eps - nNonDimTotStd[k] = vecStd [7, i] / eps - - dataM = [nNonDimTkeMean, nNonDimLintMean, nNonDimViscMean, nNonDimTotMean] - dataS = [nNonDimTkeStd, nNonDimLintStd, nNonDimViscStd, nNonDimTotStd] - for k in [0, 2]: - top, bot = dataM[k] + dataS[k], dataM[k] - dataS[k] - axes[k].fill_between(REs, bot, top, facecolor=colors[0], alpha=0.5) - axes[k].plot(REs, dataM[k], '.-', color=colors[0]) - - for i in range(len(tokens)): - for j in range(nRes): - RE = REs[j] - eps, nu = epsNuFromRe(REs[j]) - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - dirn = findBestHyperParams(runspath[i], RE, tokens[i], logSpectra, logEnStdev) - runData = getAllData(dirn, eps, nu, nBins, fSkip=1) - dissip_SGS = getSGSdissip(dirn, runData['dissip_visc'], nu) - eta = np.power(nu*nu*nu/eps, 0.25) - uprime = np.sqrt(2.0/3.0 * vecMean[1,i]); - lambd = np.sqrt(15 * nu / eps) * uprime - Kscal = np.power(eps, 2.0/3.0) - nNonDimTkeMean[j] = np.mean(runData['tke'])/Kscal - nNonDimTkeStd[j] = np.std( runData['tke'])/Kscal - nNonDimLintMean[j] = np.mean(runData['l_integral']) / LintMean[j] - nNonDimLintStd[j] = np.std( runData['l_integral']) / LintMean[j] - nNonDimViscMean[j] = np.mean(runData['dissip_visc']) / eps - nNonDimViscStd[j] = np.std( runData['dissip_visc']) / eps - nNonDimTotMean[j] = np.mean(dissip_SGS) / eps - nNonDimTotStd[j] = np.std( dissip_SGS) / eps - #nNonDimTotMean[j] = np.mean(runData['dissip_tot']) / eps - #nNonDimTotStd[j] = np.std(runData['dissip_tot']) / eps - - dataM = [nNonDimTkeMean, nNonDimLintMean, nNonDimViscMean, nNonDimTotMean] - dataS = [nNonDimTkeStd, nNonDimLintStd, nNonDimViscStd, nNonDimTotStd] - for k in range(4): - top, bot = dataM[k] + dataS[k], dataM[k] - dataS[k] - axes[k].fill_between(REs, bot, top, facecolor=colors[i+1], alpha=0.5) - axes[k].plot(REs, dataM[k], '.-', color=colors[i+1]) - - for ax in axes.ravel(): - ax.set_xscale('log') - ax.set_xlim((60, 205)) - ax.set_xlabel(r'$Re_\lambda$') - ax.set_xticks([60, 82, 111, 151, 205]) - ax.set_xticks([], True) # no minor ticks - ax.set_xticklabels( - ['60', '82', '111', '151', '205']) - - axes[0].set_ylabel(r'$k \,/\, \epsilon^{2/3}$') - axes[0].set_ylim((2.55, 3.69)) - axes[1].set_ylabel(r'$l_{int,\,LES} \,/\, l_{int,\,DNS}$') - axes[1].set_ylim((0.8, 1.21)) - axes[2].set_ylabel(r'$\epsilon_{visc} \,/\, \epsilon$') - axes[2].set_ylim((0.042, 1.125)) - axes[3].set_ylabel(r'$\epsilon_{SGS} \,/\, \epsilon$') - axes[3].set_ylim((0.19, 1.78)) - #axes[1].set_yscale('log') - fig.tight_layout() - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--target', - help="Path to target files directory", # target_RKBPD24_2blocks - default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/') - parser.add_argument('tokens', nargs='+', - help="Text token distinguishing each series of runs") - parser.add_argument('-r', '--runspath', nargs='+', default=['./'], - help="Plot labels to assiciate to tokens") - - args = parser.parse_args() - if len(args.runspath) == 1: - args.runspath = args.runspath * len(args.tokens) - - main_integral(args.runspath, args.target, args.tokens) diff --git a/apps/CUP3D_LES_HIT/computeSpectraHistogramsNonDim.py b/apps/CUP3D_LES_HIT/computeSpectraHistogramsNonDim.py deleted file mode 100755 index 00e810a1..00000000 --- a/apps/CUP3D_LES_HIT/computeSpectraHistogramsNonDim.py +++ /dev/null @@ -1,116 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import gatherAllData -from extractTargetFilesNonDim import findAllParams -from extractTargetFilesNonDim import epsNuFromRe - -colors_lines = ['#1f78b4', '#33a02c', '#ff7f00', '#e31a1c'] -colors_hist = ['#a6cee3', '#b2df8a', '#fdbf6f', '#fb9a99'] - -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] -doLogScale = True - -def main_integral(path, nBlocks=32): - REs = findAllParams(path) - print(REs) - nRes, nBins = len(REs), nBlocks * 16//2 - 1 - - fig, axes = plt.subplots(1,8, sharey=False, figsize=[15, 3], frameon=False, squeeze=True) - - #axes[0].set_xlabel(r'$k \eta$') - #axes[0].grid() - #axes[0].set_ylabel(r'$\frac{E(k)} {\eta u^2_\eta}$') - ci = 0 - - for i in range(1, nRes, 4): - eps, nu = epsNuFromRe(REs[i]) - print(REs[i]) - data = gatherAllData(path, REs[i], eps, nu, nBins, fSkip=1) - leta, lint = np.power(nu**3 / eps, 0.25), np.mean(data['l_integral']) - Ekscal = np.power(nu**5 * eps, 0.25) - ci += 1 - ck = 0 - for k in range(0,15,2): - #print(data['spectra'].shape) - Ek = data['spectra'][:, k] / Ekscal - logEk = np.log(Ek) - avgLogEk, stdLogEk = np.mean(logEk, axis=0), np.std(logEk, axis=0) - minLogEk, maxLogEk = avgLogEk-3*stdLogEk, avgLogEk+3*stdLogEk - minEk, maxEk = np.exp(minLogEk), np.exp(maxLogEk) - color_l = colors_lines[ ci-1 ] - color_h = colors_hist[ ci-1 ] - - if doLogScale: - bins = np.linspace(minLogEk, maxLogEk, num=100) - norml = 1 / (stdLogEk * np.sqrt(2*np.pi)) - P = np.exp(-0.5*((bins-avgLogEk)/stdLogEk)**2) * norml - axes[ck].plot(bins, P, '--',color=color_l) - bins = np.linspace(minLogEk, maxLogEk, num=20) - axes[ck].hist(logEk, bins=bins, density=True, - log=False, color=color_h, label=None) - else: - bins = np.geomspace(minEk, maxEk, num=20) - axes[ck].hist(Ek, bins=bins, density=True, - log=True, color=color_h, label=None) - # - ck += 1 - ''' - - Ekscal = np.power(nu**5 * eps, 0.25) - K = np.arange(1, nyquist+1, dtype=np.float64) - E = np.exp(vecSpectra[:,i]) - #X, Y = K, E / Ekscal - X, Y = K * leta, E / Ekscal - fit = np.array([EkBrief([k, eps,leta,lint,nu], popt) for k in K])/Ekscal - Yb = np.exp(vecSpectra[:,i] - vecEnStdev[:,i])/Ekscal - Yt = np.exp(vecSpectra[:,i] + vecEnStdev[:,i])/Ekscal - - fullE = np.exp(fullSpectra[:,i]) - fullN = fullSpectra.shape[0] - fullK = np.arange(1, fullN+1, dtype=np.float64) - eTot = np.sum(fullE) - eCDF = np.array([np.sum(fullE[:k+1]) for k in range(fullN)]) / eTot - #print(fullE, eCDF) - - label = r'$Re_\lambda=%d$' % re - ci += 1 - color = colors[ - ci ] - #axes[0].fill_between(X, Yb, Yt, facecolor=color, alpha=.5) - #axes[0].plot(X[1:], fit[1:], 'o', color=color) - #axes[0].plot(X, Y, color=color, label=label) - #axes[1].plot(fullK, 1-eCDF, color=color, label=label) - ''' - #for ax in axes: ax.set_xscale("log") - for ax in axes: ax.set_yticks([]) - for ax in axes: ax.set_yticklabels([]) - k = 1 - for ax in axes: - ax.set_title(r'$k = %d \pi / L$' % (2*k) ) - ax.set_xlabel(r'$\log\left[ E(k) \,/\, \eta u^2_\eta\right]$') - k += 2 - axes[0].set_ylabel(r'$\mathcal{P}\left[\,\log\left( E \,/\, \eta u^2_\eta\right)\right]$') - #axes[1].set_xlabel(r'$k$') - #axes[1].set_ylabel(r'$1 - CDF(E)$') - - #axes[1].set_xlim([1,63]) - #axes[1].set_ylim([0.5, 1e-3]) - #axes[0].legend(loc='lower left', ncol=3) - fig.tight_layout() - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('path', - help="Simulation directory containing the 'Analysis' folder") - args = parser.parse_args() - - main_integral(args.path) diff --git a/apps/CUP3D_LES_HIT/computeSpectraNonDim.py b/apps/CUP3D_LES_HIT/computeSpectraNonDim.py deleted file mode 100755 index 390680ce..00000000 --- a/apps/CUP3D_LES_HIT/computeSpectraNonDim.py +++ /dev/null @@ -1,181 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os -#from sklearn.neighbors.kde import KernelDensity -import matplotlib.pyplot as plt -from scipy.optimize import curve_fit -from computeMeanIntegralQuantitiesNonDim import findAllParams -from computeMeanIntegralQuantitiesNonDim import readAllFiles -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -#colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', - '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', - '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] -colors = ['#e9a3c9', '#c51b7d', '#d73027', '#fc8d59', '#fee08b', '#91cf60', - '#1a9850', '#4575b4', '#91bfdb'] -nQoI = 8 -h = 2 * np.pi / (16*16) -QoI = [ 'Time Step Size', - 'Turbulent Kinetic Energy', - 'Velocity Gradient', - 'Velocity Gradient Stdev', - 'Integral Length Scale', -] - -def EkFunc(x, C, CI, CE, BETA, P0): - if(C <1e-16): C =1e-16 - #if(CI<0): CI=0 - if(CI <1e-16): CI =1e-16 - if(CE <1e-16): CE =1e-16 - if(BETA<1e-16): BETA=1e-16 - if(P0 <1e-16): P0 =1e-16 - CI, P0, BETA, CE = 0.001, 2, 5.4, 0.22 - k, eps, leta, lint, nu = x[0], x[1], x[2], x[3], x[4] - #print(x.shape) - #lint = 0.74885397 * np.power(eps, -0.0233311) * np.power(nu, 0.07192009) - #leta = np.power(eps, -0.25) * np.power(nu, 0.75) - #FL = np.power( k*lint / (np.abs(k*lint) + CI), 5/3.0 + P0 ) - FL = np.power( k*lint / np.sqrt((k*lint)**2 + CI), 5/3.0 + P0 ) - FE = np.exp( - BETA * ( np.power( (k*leta)**4 + CE**4, 0.25 ) - CE ) ) - ret = 2.7 * np.power(eps, 2/3.0) * np.power(k, -5/3.0) * FL * FE - #print(C, CI, CE, BETA, P0) - #print(eps[0], leta[:], lint[0], nu[0]) - return ret - -def logEkFunc(x, C, CI, CE, BETA, P0): - return np.log(EkFunc(x, C, CI, CE, BETA, P0)) -def EkBrief(x, popt): - return EkFunc(x, popt[0], popt[1], popt[2], popt[3], popt[4]) - -def readAllSpectra(path, REs): - nRes = len(REs) - allStdevs, allSpectra, fullSpectra, allCovLogE = None, None, None, None - - ind = 0 - for ei in range(nRes): - ename = '%s/spectrumLogE_RE%03d' % (path, REs[ei]) - sname = '%s/stdevLogE_RE%03d' % (path, REs[ei]) - cname = '%s/invCovLogE_RE%03d' % (path, REs[ei]) - if os.path.isfile(ename) == False : continue - if os.path.isfile(sname) == False : continue - if os.path.isfile(cname) == False : continue - modes, stdevs = np.loadtxt(ename, delimiter=',')[:,1], np.loadtxt(sname) - invcov = np.loadtxt(cname, delimiter=', ') - nyquist, fullSize = stdevs.size, modes.size - if allSpectra is None : - allStdevs, allSpectra = np.zeros([nyquist,0]), np.zeros([nyquist,0]) - fullSpectra = np.zeros([fullSize,0]) - #allCovLogE = np.zeros([nyquist, nyquist, 0]) - fullSpectra = np.append(fullSpectra, modes.reshape(fullSize,1), axis=1) - modes = modes[:nyquist].reshape(nyquist,1) - stdevs = stdevs.reshape(nyquist,1) - allStdevs = np.append(allStdevs, stdevs, axis=1) - allSpectra = np.append(allSpectra, modes, axis=1) - #allCovLogE = np.append(allCovLogE, invcov, axis=2) - - return allSpectra, allStdevs, fullSpectra, allCovLogE - -def fitFunction(inps, dataM, dataV, row, func): - if dataV is None : - popt, pcov = curve_fit(func, inps, dataM[row,:]) - else: - popt, pcov = curve_fit(func, inps, dataM[row,:], sigma = dataV[row,:]) - return popt - -def fitSpectrum(vecParams, vecMean, vecSpectra, vecEnStdev): - assert(vecSpectra.shape[1] == vecEnStdev.shape[1]) - assert(vecSpectra.shape[1] == vecParams.shape[1]) - assert(vecSpectra.shape[1] == vecMean.shape[1]) - nyquist, nruns = vecSpectra.shape[0], vecSpectra.shape[1] - print(nyquist) - kdata = np.zeros([nruns, nyquist, 5]) - for i in range(nruns): - for j in range(nyquist): - kdata[i, j, 0] = 0.5 + j - kdata[i, j, 1] = vecParams[0,i] - kdata[i, j, 2] = np.power(vecParams[1,i]**3 / vecParams[0,i], 0.25) - kdata[i, j, 3] = vecMean[4,i] - kdata[i, j, 4] = vecParams[1,i] - #prepare vectors so that they are compatible with curve fit: - ekdata, eksigma = vecSpectra.flatten(), vecEnStdev.flatten() - kdata = kdata.reshape(nyquist*nruns, 5).transpose() - bounds = [[ 1e-16, 1e-16, 1e-16, 1e-16, 1e-16], - [np.inf, np.inf, np.inf, np.inf, np.inf]] - popt, pcov = curve_fit(logEkFunc, kdata, ekdata, sigma=eksigma, - maxfev=100000, p0=[6.0, 1.0, 1.0, 5.24, 2.0], bounds=bounds) - return popt, pcov - -def main_integral(path): - REs = findAllParams(path) - nRes = len(REs) - vecParams, vecMean, vecStd = readAllFiles(path, REs) - vecSpectra, vecEnStdev, fullSpectra, _ = readAllSpectra(path, REs) - popt, pcov = fitSpectrum(vecParams, vecMean, vecSpectra, vecEnStdev) - C,CI,CE,BETA,P0 = popt[0], popt[1], popt[2], popt[3], popt[4] - - fig, axes = plt.subplots(1,2, figsize=[12, 3], frameon=False, squeeze=True) - - axes[0].set_xlabel(r'$k \eta$') - axes[0].grid() - axes[1].grid() - axes[0].set_ylabel(r'$E(k) \,/\, \eta u^2_\eta$') - - ci = 0 - nyquist, nruns = vecSpectra.shape[0], vecSpectra.shape[1] - print(popt, nyquist, fullSpectra.shape) - - for i in range(0, nruns, 2): - eps, nu, re = vecParams[0,i], vecParams[1,i], vecParams[2,i] - leta = np.power(vecParams[1,i]**3 / vecParams[0,i], 0.25) - lint = vecMean[4,i] - ri = np.argmin(np.abs(REs - re)) - #print(ri, i) - - Ekscal = np.power(nu**5 * eps, 0.25) - K = np.arange(1, nyquist+1, dtype=np.float64) - E = np.exp(vecSpectra[:,i]) - #X, Y = K, E / Ekscal - X, Y = K * leta, E / Ekscal - fit = np.array([EkBrief([k, eps,leta,lint,nu], popt) for k in K])/Ekscal - Yb = np.exp(vecSpectra[:,i] - vecEnStdev[:,i])/Ekscal - Yt = np.exp(vecSpectra[:,i] + vecEnStdev[:,i])/Ekscal - - fullE = np.exp(fullSpectra[:,i]) - fullN = fullSpectra.shape[0] - fullK = np.arange(1, fullN+1, dtype=np.float64) - eTot = np.sum(fullE) - eCDF = np.array([np.sum(fullE[:k+1]) for k in range(fullN)]) / eTot - #print(fullE, eCDF) - - label = r'$Re_\lambda=%d$' % re - ci += 1 - color = colors[ - ci ] - axes[0].fill_between(X, Yb, Yt, facecolor=color, alpha=.5) - #axes[0].plot(X[1:], fit[1:], 'o', color=color) - axes[0].plot(X, Y, color=color, label=label) - axes[1].plot(fullK, 1-eCDF, color=color, label=label) - - xTheory = np.zeros(2) - xTheory[0], xTheory[1] = 0.025, 0.25 - yTheory = 6.41241 * np.power(xTheory, -5.0/3.0) - axes[0].plot(xTheory, yTheory, 'k--') - axes[1].plot([15, 15], [1, 1e-3], 'k') - axes[1].set_xlabel(r'$k \cdot L \,/\, 2 \pi$') - axes[1].set_ylabel(r'$1 - CDF\,\left[ E(k)\right]$') - axes[0].set_yscale("log") - axes[0].set_xscale("log") - #axes[1].set_xscale("log") - axes[1].set_yscale("log") - axes[1].set_xlim([1,63]) - axes[1].set_ylim([0.5, 1e-3]) - axes[0].legend(loc='lower left', ncol=3) - plt.show() - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targets', default='./', - help="Simulation directory containing the 'Analysis' folder") - args = parser.parse_args() - - main_integral(args.targets) diff --git a/apps/CUP3D_LES_HIT/computeTrainedSpectraErrors.py b/apps/CUP3D_LES_HIT/computeTrainedSpectraErrors.py deleted file mode 100755 index 32915f52..00000000 --- a/apps/CUP3D_LES_HIT/computeTrainedSpectraErrors.py +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os -#from sklearn.neighbors.kde import KernelDensity -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -#colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] - -def findDirectory(runspath, re, token): - retoken = 'RE%03d' % re - alldirs = glob.glob(runspath + '/*') - for dirn in alldirs: - if retoken not in dirn: continue - if token not in dirn: continue - return dirn - assert(False, 're-token combo not found') - -def main_integral(runspath, target, REs, tokens, labels): - nBins = 2 * 16//2 - 1 - modes = np.arange(1, nBins+1, dtype=np.float64) # assumes box is 2 pi - plt.figure() - #REs = findAllParams(path) - nRes = len(REs) - axes, lines = [], [] - for j in range(nRes): - axes += [ plt.subplot(1, nRes, j+1) ] - - for j in range(nRes): - RE = REs[j] - # read target file - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - for i in range(len(tokens)): - eps, nu = epsNuFromRe(RE) - dirn = findDirectory(runspath, RE, tokens[i]) - runData = getAllData(dirn, eps, nu, nBins, fSkip=1) - logE = np.log(runData['spectra']) - avgLogSpec = np.mean(logE, axis=0) - assert(avgLogSpec.size == nBins) - LL = (avgLogSpec.ravel() - logSpectra.ravel()) / logEnStdev.ravel() - print(LL.shape) - p = axes[j].plot(LL, modes, label=labels[i], color=colors[i]) - #p = axes[j].plot(LL, modes, color=colors[i]) - if j == 0: lines += [p] - #stdLogSpec = np.std(logE, axis=0) - #covLogSpec = np.cov(logE, rowvar=False) - #print(covLogSpec.shape) - axes[0].set_ylabel(r'$k$') - for j in range(nRes): - axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - #axes[j].set_xscale("log") - axes[j].set_ylim([1, 15]) - axes[j].grid() - axes[j].set_xlabel(r'$\frac{\log E(k) - \mu_{\log E(k)}}{\sigma_{\log E(k)}}$') - for j in range(1,nRes): axes[j].set_yticklabels([]) - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - axes[0].legend(bbox_to_anchor=(0.5, 0.5)) - plt.tight_layout() - plt.show() - #axes[0].legend(loc='lower left') - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--target', help="Path to target files directory") - parser.add_argument('--tokens', nargs='+', help="Text token distinguishing each series of runs") - parser.add_argument('--res', nargs='+', type=int, help="Reynolds numbers") - parser.add_argument('--labels', nargs='+', help="Plot labels to assiciate to tokens") - parser.add_argument('--runspath', help="Plot labels to assiciate to tokens") - - args = parser.parse_args() - assert(len(args.tokens) == len(args.labels)) - - main_integral(args.runspath, args.target, args.res, args.tokens, args.labels) diff --git a/apps/CUP3D_LES_HIT/eval_all_les.sh b/apps/CUP3D_LES_HIT/eval_all_les.sh deleted file mode 100755 index 4b1e8867..00000000 --- a/apps/CUP3D_LES_HIT/eval_all_les.sh +++ /dev/null @@ -1,65 +0,0 @@ -export SKIPMAKE=true - -export LES_RL_NETTYPE=${LES_RL_NETTYPE:-FFNN} -export LES_RL_N_TSIM=${LES_RL_N_TSIM:-100} -export LES_RL_NBLOCK=${LES_RL_NBLOCK:-4} - -if [ ${LES_RL_NBLOCK} == 8 ] ; then -blocksize=4 -elif [ ${LES_RL_NBLOCK} == 4 ] ; then -blocksize=8 -elif [ ${LES_RL_NBLOCK} == 2 ] ; then -blocksize=16 -else -echo "ERROR" -exit 1 -fi - -make -C ~/CubismUP_3D/makefiles/ clean -make -C ~/CubismUP_3D/makefiles/ hdf=false bs=${blocksize} accfft=false -j rlHIT - -THISDIR=${SMARTIES_ROOT}/apps/CUP3D_LES_HIT - -for REW in GERMANO ; do -for GRIDAGENT in 0 ; do -#for ACT in 2 4 8 16 ; do -for ACT in 4 8 ; do -for REN in 065 076 088 103 120 140 163 ; do -#for RE in RE065 RE076 RE088 RE103 RE120 RE140 RE163 ; do -#for REN in 060 065 070 076 082 088 095 103 111 120 130 140 151 163 176 190 205 ; do -#for REN in 060 070 082 095 111 130 151 176 190 205 ; do -RE=RE${REN} - -export LES_RL_EVALUATE=${RE} -export LES_RL_FREQ_A=${ACT} -export LES_RL_GRIDACT=1 #${GRIDAGENT} - -SPEC=${REW}_${LES_RL_NETTYPE}_${LES_RL_NBLOCK}blocks_act`printf %02d $LES_RL_FREQ_A` - -if [ ${GRIDAGENT} == 0 ] ; then -BASENAME=GridAgents_BlockRestart -RESTART=BlockAgent -export LES_RL_GRIDACTSETTINGS=0 -else -BASENAME=GridAgents_GridRestart -RESTART=GridAgent -export LES_RL_GRIDACTSETTINGS=1 -fi - -RUNDIR=${BASENAME}_00_${SPEC}_sim${LES_RL_N_TSIM}_${RE} -RESTARTDIR=${THISDIR}/trained_${RESTART}_${SPEC}/ -echo $RUNDIR - -if [ -d ${SMARTIES_ROOT}/runs/${RUNDIR} ] ; then -echo ${RUNDIR} exists -else -smarties.py CUP3D_LES_HIT -n 1 -r ${RUNDIR} --restart ${RESTARTDIR} --nEvalEpisodes 1 --clockHours 1 --nTaskPerNode 2 -#echo ${RUNDIR} todo -fi - -#--printAppStdout - -done -done -done -done diff --git a/apps/CUP3D_LES_HIT/eval_all_train.py b/apps/CUP3D_LES_HIT/eval_all_train.py deleted file mode 100755 index 5a75e847..00000000 --- a/apps/CUP3D_LES_HIT/eval_all_train.py +++ /dev/null @@ -1,76 +0,0 @@ -#!/usr/bin/env python3 -import os, numpy as np, argparse, subprocess - -def findIfGridAgent(traindir): - if 'BlockAgents' in traindir: return False - return True -def findActFreq(traindir): - if 'act02' in traindir: return 2 - if 'act04' in traindir: return 4 - if 'act08' in traindir: return 8 - if 'act16' in traindir: return 16 - assert False - return 0 -def findBlockSize(traindir): - if '2blocks' in traindir: return 16 - if '4blocks' in traindir: return 8 - if '8blocks' in traindir: return 4 - assert False - return 0 -def findBlockNum(traindir): - if '2blocks' in traindir: return 2 - if '4blocks' in traindir: return 4 - if '8blocks' in traindir: return 8 - assert False - return 0 - -lastCompiledBlocksize = -1 - -def launch(dirn, args, lastCompiledBlocksize): - path, bGridAgents = args.restartsPath, args.bGridAgents - BPD, BSIZE = findBlockNum(dirn), findBlockSize(dirn) - useGridSizeFac = args.useGridSize // (BPD * BSIZE) - print("using factor", useGridSizeFac) - cmd = '' - cmd = cmd + ' export LES_RL_N_TSIM=100 \n ' - cmd = cmd + ' export LES_RL_FREQ_A=%d \n ' % findActFreq(dirn) - cmd = cmd + ' export LES_RL_BLOCKSIZE=%d \n ' % BSIZE - cmd = cmd + ' export LES_RL_NBLOCK=%d \n ' % (useGridSizeFac * BPD) - if lastCompiledBlocksize == BSIZE: - cmd = cmd + ' export SKIPMAKE=true \n ' - else: cmd = cmd + ' export SKIPMAKE=false \n ' - lastCompiledBlocksize = BSIZE - if bGridAgents: cmd = cmd + ' export LES_RL_GRIDACT=1 \n ' - else: cmd = cmd + ' export LES_RL_GRIDACT=0 \n ' - cmd = cmd + ' export LES_RL_NETTYPE=FFNN \n ' - cmd = cmd + ' export LES_RL_GRIDACTSETTINGS=0 \n ' - common = ' smarties.py CUP3D_LES_HIT --nEvalEpisodes 2 --clockHours 1 --nTaskPerNode 2 -n 1' - res = [60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190, 205] - for i, re in enumerate(res): - cmdre = cmd + ' export LES_RL_EVALUATE=RE%03d \n ' % re - runn = '%s_%03dPD_RE%03d' % (dirn, args.useGridSize, re) - #runn = '%s_RE%03d' % (dirn, re) - runcmd = '%s %s -r %s --restart %s' % (cmdre, common, runn, path+'/'+dirn) - #print(runcmd) - subprocess.run(runcmd, shell=True) - if i == 0: cmd = cmd + ' export SKIPMAKE=true \n ' - return lastCompiledBlocksize - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Evaluate trained directories.") - parser.add_argument('restarts', nargs='+', - help="Directories containing trained policy to evaluate") - parser.add_argument('--restartsPath', default='../../runs/', - help="Optional path to trained dirs, if not default") - parser.add_argument('--useGridSize', type=int, default=32, - help="Number of cubismup3d blocks to use.") - parser.add_argument('--bGridAgents', dest='bGridAgents', action='store_true', - help="Force one agent per grid point.") - parser.set_defaults(bGridAgents=False) - args = parser.parse_args() - - for dirn in args.restarts: - #print(dirn, args.restartsPath, args.useBlockNumber, args.bGridAgents) - lastCompiledBlocksize = launch(dirn, args, lastCompiledBlocksize) - diff --git a/apps/CUP3D_LES_HIT/eval_all_train.sh b/apps/CUP3D_LES_HIT/eval_all_train.sh deleted file mode 100755 index 4ac6a959..00000000 --- a/apps/CUP3D_LES_HIT/eval_all_train.sh +++ /dev/null @@ -1,51 +0,0 @@ -export SKIPMAKE=true - -export LES_RL_NETTYPE=${LES_RL_NETTYPE:-FFNN} -export LES_RL_N_TSIM=${LES_RL_N_TSIM:-100} -export LES_RL_NBLOCK=${LES_RL_NBLOCK:-2} - -THISDIR=${SMARTIES_ROOT}/apps/CUP3D_LES_HIT - -for REW in GERMANO ; do -for GRIDAGENT in 0 ; do -#for ACT in 2 4 8 16 ; do -for ACT in 4 8 ; do -for REN in 065 076 088 103 120 140 163 ; do -#for RE in RE065 RE076 RE088 RE103 RE120 RE140 RE163 ; do -#for REN in 060 065 070 076 082 088 095 103 111 120 130 140 151 163 176 190 205 ; do -#for REN in 060 070 082 095 111 130 151 176 190 205 ; do -RE=RE${REN} - -export LES_RL_EVALUATE=${RE} -export LES_RL_FREQ_A=${ACT} -export LES_RL_GRIDACT=1 #${GRIDAGENT} - -SPEC=${REW}_${LES_RL_NETTYPE}_${LES_RL_NBLOCK}blocks_act`printf %02d $LES_RL_FREQ_A` - -if [ ${GRIDAGENT} == 0 ] ; then -BASENAME=GridAgents_BlockRestart -RESTART=BlockAgent -export LES_RL_GRIDACTSETTINGS=0 -else -BASENAME=GridAgents_GridRestart -RESTART=GridAgent -export LES_RL_GRIDACTSETTINGS=1 -fi - -RUNDIR=${BASENAME}_00_${SPEC}_sim${LES_RL_N_TSIM}_${RE} -RESTARTDIR=${THISDIR}/trained_${RESTART}_${SPEC}/ -echo $RUNDIR - -if [ -d ${SMARTIES_ROOT}/runs/${RUNDIR} ] ; then -echo ${RUNDIR} exists -else -smarties.py CUP3D_LES_HIT -n 1 -r ${RUNDIR} --restart ${RESTARTDIR} --nEvalSeqs 1 --clockHours 1 --nTaskPerNode 2 -#echo ${RUNDIR} todo -fi - -#--printAppStdout - -done -done -done -done diff --git a/apps/CUP3D_LES_HIT/extractTargetFilesNonDim.py b/apps/CUP3D_LES_HIT/extractTargetFilesNonDim.py deleted file mode 100755 index 4fe8fe5e..00000000 --- a/apps/CUP3D_LES_HIT/extractTargetFilesNonDim.py +++ /dev/null @@ -1,166 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob -from os import path - -#nBins = 24 * 16//2 - 1 - -''' -def tkeFit(nu, eps): return 2.87657077 * np.power(eps, 2/3.0) -def relFit(nu, eps): - tke = tkeFit(nu,eps) - uprime = np.sqrt(2.0/3.0 * tke); - lambd = np.sqrt(15 * nu / eps) * uprime; - return uprime * lambd / nu; -''' - -def epsNuFromRe(Re, uEta = 1.0): - C = 3 # np.sqrt(20.0/3) - K = 2/3.0 * C * np.sqrt(15) - eps = np.power(uEta*uEta * Re / K, 3.0/2.0) - nu = np.power(uEta, 4) / eps - return eps, nu - -def findAllParams(path): - REs = set() - alldirs = glob.glob(path+'*') - for dirn in alldirs: REs.add(re.findall('RE\d\d\d\d', dirn)[0][2:]) - REs = list( REs); REs.sort() - for i in range(len(REs)): REs[i] = float(REs[i]) - return REs - -def computeIntTimeScale(tau_integral): - tau_int = 0.0 - N = len(tau_integral) - for i in range(N): - if(tau_integral[i]<1e16): tau_int += tau_integral[i]/N - else: tau_int += 1e16/N - return tau_int - -def readAnalysisFile(dirn, analysis, size): - fname = dirn + '/' + analysis - rl_fname = dirn + '/simulation_000_00000/run_00000000/' + analysis - if path.exists( fname): f = np.fromfile( fname, dtype=np.float64) - elif path.exists(rl_fname): f = np.fromfile(rl_fname, dtype=np.float64) - else : - f = np.zeros([size]) - print('File %s does not exist. Simulation did not start?' % fname) - nFullRows = f.size // size - nFull = nFullRows * size - assert(nFull == f.size) - #return f.reshape([nFullRows, size]) - return f[:nFull].reshape([nFullRows, size]) - -def getAllData(dirn, eps, nu, nBins, fSkip=1, readFlux=False): - f = readAnalysisFile(dirn, 'spectralAnalysis.raw', nBins + 13) - nSamples = f.shape[0] - tIntegral = computeIntTimeScale(f[:,8]) - tAnalysis = np.sqrt(nu / eps) # time space between data files - ind0 = int(10 * tIntegral / tAnalysis) # skip initial integral times - #ind0 = int(5 * tIntegral / tAnalysis) # skip initial integral times - if ind0 == 0 or ind0 > nSamples: ind0 = nSamples - #print(ind0) - data = { - 'dt' : f[ind0:, 1], 'tke' : f[ind0:, 3], - 'tke_filtered' : f[ind0:, 4], 'dissip_visc' : f[ind0:, 5], - 'dissip_tot' : f[ind0:, 6], 'l_integral' : f[ind0:, 7], - 't_integral' : f[ind0:, 8], 'grad_mean' : f[ind0:,11], - 'grad_std' : f[ind0:,12], 'spectra' : f[ind0:,13:] - } - #print('n spectra = %d %f %f' % (nFullRows, tIntegral, tAnalysis)) - if not readFlux: return data - f = readAnalysisFile(dirn, 'fluxAnalysis.raw', nBins) - data['flux'] = f[ind0:, :] - return data - -def gatherAllData(path, re, eps, nu, nBins, fSkip): - data = None - #for run in [0, 1, 2, 3, 4]: #for run in [5, 6, 7, 8, 9]: - #for run in [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]: - #for run in range(40): - for run in range(1): - dirn = '%sRE%04d_RUN%d' % (path, re, run) - runData = getAllData(dirn, eps, nu, nBins, fSkip) - if data is None: data = runData - else: - for key in runData: - data[key] = np.append(data[key], runData[key], 0) - - if data['dt'].size < 2: data = None - - return data - -def main(path, fSkip, nBlocks, nBlocksRL): - nBinsTgt = nBlocksRL * 16 // 2 - 1 - nBins = nBlocks * 16//2 - 1 - REs = findAllParams(path) - #REs = [60, 70, 82, 95, 110, 130, 150, 176, 206, 240, 280, 325, 380] - EPSs, NUs = len(REs) * [0], len(REs) * [0] # will be overwritten - - for j in range(len(REs)): - EPSs[j], NUs[j] = epsNuFromRe(REs[j]) - print('Re %e nu %e eps %e' % (REs[j], NUs[j], EPSs[j])) - data = gatherAllData(path, REs[j], EPSs[j], NUs[j], nBins, fSkip=fSkip) - if data == None: - print('skipped eps:%f nu:%f' % (eps, nu)) - continue - - logE = np.log(data['spectra']) - print(logE.shape) - avgLogSpec = np.mean(logE, axis=0) - logE = np.log(data['spectra'][:, 0:nBinsTgt]) - stdLogSpec = np.std(logE, axis=0) - covLogSpec = np.cov(logE, rowvar=False) - #print(covLogSpec.shape) - modes = np.arange(1, nBins+1) # assumes box is 2 pi - avgTke, avgDissip = np.mean(data['tke']), np.mean(data['dissip_tot']) - #reLambda = np.sqrt(20/3) * avgTke / np.sqrt(NUs[j] * avgDissip) - reLambda = np.sqrt(20/3) * avgTke / np.sqrt(NUs[j] * EPSs[j]) - - logCov2pi = np.power( np.linalg.det(2 * np.pi * covLogSpec), 0.5/nBinsTgt) - print(-np.log(logCov2pi)) - - fout = open('scalars_RE%03d' % int(REs[j]), "w") - fout.write("eps %e\n" % (EPSs[j]) ) - fout.write("nu %e\n" % (NUs[j]) ) - fout.write("dt %e %e\n" % (np.mean(data['dt']), - np.std( data['dt']) ) ) - fout.write("tKinEn %e %e\n" % (np.mean(data['tke']), - np.std( data['tke']) ) ) - fout.write("epsVis %e %e\n" % (np.mean(data['dissip_visc']), - np.std( data['dissip_visc']) ) ) - fout.write("epsTot %e %e\n" % (np.mean(data['dissip_tot']), - np.std( data['dissip_tot']) ) ) - fout.write("lInteg %e %e\n" % (np.mean(data['l_integral']), - np.std( data['l_integral']) ) ) - fout.write("tInteg %e %e\n" % (np.mean(data['t_integral']), - np.std( data['t_integral']) ) ) - fout.write("avg_Du %e %e\n" % (np.mean(data['grad_mean']), - np.std( data['grad_mean']) ) ) - fout.write("std_Du %e %e\n" % (np.mean(data['grad_std']), - np.std( data['grad_std']) ) ) - fout.write("ReLamd %e\n" % reLambda) - fout.write("logPdenom %e\n" % -np.log(logCov2pi) ) - - #print(modes.shape, avgLogSpec.shape) - ary = np.append( modes.reshape([nBins,1]), - avgLogSpec.reshape([nBins,1]), 1) - np.savetxt('spectrumLogE_RE%03d' % int(REs[j]), ary, delimiter=', ') - invCovLogSpec = np.linalg.inv(covLogSpec) - np.savetxt('invCovLogE_RE%03d' % int(REs[j]), invCovLogSpec, delimiter=', ') - np.savetxt('stdevLogE_RE%03d' % int(REs[j]), stdLogSpec, delimiter=', ') - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('simdir', - help="Simulation directory containing the 'Analysis' folder") - parser.add_argument('--fSkip', type=int, default=1, - help="Sampling frequency for analysis files. If 1, take all. If 2, take 1 skip 1, If 3, take 1, skip 2, and so on.") - parser.add_argument('--nBlocks', type=int, default=32, - help="Number of CubismUP 3D blocks in the target runs.") - parser.add_argument('--nBlocksRL', type=int, default=2, - help="Number of CubismUP 3D blocks in the training runs.") - args = parser.parse_args() - - main(args.simdir, args.fSkip, args.nBlocks, args.nBlocksRL) - diff --git a/apps/CUP3D_LES_HIT/extractTargetHIT2.py b/apps/CUP3D_LES_HIT/extractTargetHIT2.py deleted file mode 100644 index d8d4f311..00000000 --- a/apps/CUP3D_LES_HIT/extractTargetHIT2.py +++ /dev/null @@ -1,144 +0,0 @@ -#!/usr/bin/env python3.6 -import re, argparse, numpy as np, glob - -def findAllParams(path): - NUs, EPSs, EXTs = set(), set(), set() - alldirs = glob.glob(path+'*') - for dirn in alldirs: - EPSs.add(re.findall('EPS\d.\d\d\d', dirn)[0][3:]) - NUs. add(re.findall('NU\d.\d\d\d\d', dirn)[0][2:]) - NUs = list( NUs); NUs.sort() - EPSs = list(EPSs); EPSs.sort() - return NUs, EPSs - -def getAllFiles(dirsname, fSkip = 1): - dirs = glob.glob(dirsname+'*') - allFiles = [] - for path in dirs: - files = glob.glob(path+'/analysis/spectralAnalysis_*') - files.sort() - allFiles = allFiles + files[::fSkip] - return allFiles - -def getAllData(files): - nFiles = len(files) - if nFiles == 0: return [], [], [] - - def readData(fname, iscalars): - f = open(fname, 'r') - line = f.readline() # skip - for nLine in range(15): - line = f.readline() - line = line.split() - newKey = {line[0] : float(line[1])} - iscalars.update(newKey) - ks, en = np.loadtxt(fname, unpack=True, skiprows=18) - return ks, en - - scalars = [dict() for i in range(nFiles)] - modes, energy = readData(files[0], scalars[0]) - nModes = len(modes) - spectra = np.ndarray(shape=(nFiles, nModes), dtype=float) - spectra[0,:] = energy - - for i in range(1, nFiles): - modes, energy = readData(files[i], scalars[i]) - spectra[i,:] = energy - return modes, spectra, scalars - -def computeIntTimeScale(scalars): - tau_int = 0.0 - for i in range(len(scalars)): - if(scalars[i]['tau_integral']<100): tau_int += scalars[i]['tau_integral'] - else: tau_int += 100000 - return tau_int/len(scalars) - -def getLogSpectrumStats(spectrum): - logE = np.log(np.asarray(spectrum)) - #print(logE.shape, spectrum.shape) - mean = np.array([np.mean(logE[:,i]) for i in range(spectrum.shape[1])]) - if False: - stdev = np.array([np.std( logE[:,i]) for i in range(spectrum.shape[1])]) - for i in range(1, len(mean)): - if mean[i] < -36: # exp(-36) < numerical precision - mean[i] = (mean[i] + mean[i-1])/2 - stdev[i] = max(stdev[i], stdev[i-1]) - #print(logE.shape, spectrum.shape, mean.shape, stdev.shape) - return mean, stdev - covar = np.cov(logE, rowvar=False) - return mean, covar - -def computeAverages(scalars): - TK = [scalars[i]['tke'] for i in range(len(scalars))] - LA = [scalars[i]['lambda'] for i in range(len(scalars))] - RE = [scalars[i]['Re_lambda'] for i in range(len(scalars))] - TI = [scalars[i]['tau_integral'] for i in range(len(scalars))] - LI = [scalars[i]['l_integral'] for i in range(len(scalars))] - GR = [scalars[i]['mean_grad'] for i in range(len(scalars))] - EV = [scalars[i]['eps'] for i in range(len(scalars))] - from numpy import mean, std - return [mean(TK),mean(LA),mean(RE),mean(TI),mean(LI),mean(GR),mean(EV)], \ - [ std(TK), std(LA), std(RE), std(TI), std(LI), std(GR), std(EV)] - -def main(path, fSkip): - NUs, EPSs = findAllParams(path) - - for ei in range(len(EPSs)): - EPSs[ei] = float(EPSs[ei]) - for ni in range(len(NUs)): - NUs[ni] = float(NUs[ni]) - - scalars, spectra, modes = [], None, None - for run in [0, 1, 2, 3, 4]: - dirn = '%sEXT2pi_EPS%.03f_NU%.04f_RUN%d' \ - % (path, EPSs[ei], NUs[ni], run) - print(dirn) - - files = getAllFiles(dirn, fSkip = fSkip) - runmodes, runspectra, runscalars = getAllData(files) - if len(runmodes) == 0: continue - - tint = computeIntTimeScale(runscalars) - tAnalysis = np.sqrt(NUs[ni] / EPSs[ei]) # time space between data files - ind0 = int(5 * tint / tAnalysis / fSkip) # skip initial integral times - - scalars = scalars + runscalars[ind0:] - modes = runmodes # modes are const in time, the box don't change - if spectra is None: spectra = runspectra[ind0:] - else: spectra = np.append(spectra, runspectra[ind0:], 0) - - if len(scalars) < 2: continue - - means, stdevs = computeAverages(scalars) - modes *= 2 * np.pi / scalars[0]['lBox'] # from wave index to wave number - avgLogSpec, covLogSpec = getLogSpectrumStats(spectra) - - fout = open('scalars_EPS%.03f_NU%.04f' % (EPSs[ei], NUs[ni]), "w") - fout.write( "tKinEn %e %e\n" % ( means[0], stdevs[0] ) ) - fout.write( "lambda %e %e\n" % ( means[1], stdevs[1] ) ) - fout.write( "Re_lam %e %e\n" % ( means[2], stdevs[2] ) ) - fout.write( "tInteg %e %e\n" % ( means[3], stdevs[3] ) ) - fout.write( "lInteg %e %e\n" % ( means[4], stdevs[4] ) ) - fout.write( "avg_Du %e %e\n" % ( means[5], stdevs[5] ) ) - fout.write( "epsVis %e %e\n" % ( means[6], stdevs[6] ) ) - - nK = len(modes) - print(modes.shape, avgLogSpec.shape) - ary = np.append(modes.reshape([nK,1]), avgLogSpec.reshape([nK,1]), 1) - np.savetxt('spectrumLogE_EPS%.03f_NU%.04f' % (EPSs[ei], NUs[ni]), \ - ary, delimiter=', ') - np.savetxt('covarLogE_EPS%.03f_NU%.04f' % (EPSs[ei], NUs[ni]), \ - covLogSpec, delimiter=', ') - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('simdir', - help="Simulation directory containing the 'Analysis' folder") - parser.add_argument('--fSkip', type=int, default=1, - help="Sampling frequency for analysis files. If 1, take all. " \ - "If 2, take 1 skip 1, If 3, take 1, skip 2, and so on.") - args = parser.parse_args() - - main(args.simdir, args.fSkip) - diff --git a/apps/CUP3D_LES_HIT/launchLESHIT.py b/apps/CUP3D_LES_HIT/launchLESHIT.py deleted file mode 100755 index 389079aa..00000000 --- a/apps/CUP3D_LES_HIT/launchLESHIT.py +++ /dev/null @@ -1,154 +0,0 @@ -#!/usr/bin/env python3 -import os, numpy as np, argparse, subprocess - -bDoRK23 = False -bDoRK23 = True -bDoUpWind = False -bDoUpWind = True -BPD=32 -base = "HITDNS03" -NNODES=32 -RUNSIDS = range(1) -ALLRES=[60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190, 205] -ALLRES=[60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190] -#ALLRES=[205] - -def epsNuFromRe(Re, uEta = 1.0): - C = 3.0 # np.sqrt(20.0/3) - K = 2/3.0 * C * np.sqrt(15) - eps = np.power(uEta*uEta * Re / K, 3.0/2.0) - nu = np.power(uEta, 4) / eps - return eps, nu - -def runspec(nu, eps, re, run, cs): - if bDoRK23 : tstep = "RK_" - else : tstep = "FE_" - if bDoUpWind : discr = "UW_" - else : discr = "CD_" - size = "CFL010_BPD%d_EXT2pi_" % (BPD) - return base + tstep + discr + size + "RE%04d_RUN%d" % (re, run) - -def getSettings(nu, eps, cs, run): - options = '-bpdx %d -bpdy %d -bpdz %d -CFL 0.1 ' % (BPD, BPD, BPD) - if bDoRK23: options = options + '-RungeKutta23 1 ' - if bDoUpWind: options = options + '-Advection3rdOrder 1 ' - tAnalysis = np.sqrt(nu / eps) - tDump = 10 * tAnalysis - tEnd = 10000 * tAnalysis # abort in code - options = options + '-nprocsx %d -nprocsy 1 -nprocsz 1 ' % NNODES - return options + '-extentx 6.2831853072 -dump2D 0 -dump3D 1 ' \ - '-tdump %f -BC_x periodic -BC_y periodic -BC_z periodic ' \ - '-spectralIC fromFit -initCond HITurbulence -spectralForcing 1 ' \ - '-compute-dissipation 1 -tAnalysis %f -keepMomentumConstant 1 ' \ - '-tend %f -analysis HIT -nu %f -energyInjectionRate %f ' \ - % (tDump, tAnalysis, tEnd, nu, eps) - -def launchEuler(nu, eps, re, cs, run): - runname = runspec(nu, eps, re, run, cs) - print(runname) - cmd = "export LD_LIBRARY_PATH=/cluster/home/novatig/hdf5-1.10.1/gnu630_ompi30/lib/:$LD_LIBRARY_PATH\n" \ - "FOLDER=/cluster/scratch/novatig/CubismUP_3D/%s\n " \ - "mkdir -p ${FOLDER}\n" \ - "cp ~/CubismUP_3D/bin/simulation ${FOLDER}/\n" \ - "export OMP_NUM_THREADS=18\n" \ - "cd $FOLDER\n" \ - "bsub -n 18 -J %s -W 24:00 -R \"select[model==XeonGold_6150] span[ptile=18]\" ./simulation %s\n" \ - % (runname, runname, getSettings(nu, eps, cs, run)) - #"bsub -n 18 -J %s -W 24:00 -R \"select[model==XeonGold_6150] span[ptile=18]\" mpirun -n 1 ./simulation %s\n" \ - subprocess.run(cmd, shell=True) - -def launchDaint(nCases, les): - SCRATCH = os.getenv('SCRATCH') - HOME = os.getenv('HOME') - - f = open('HIT_sbatch','w') - f.write('#!/bin/bash -l \n') - f.write('#SBATCH --job-name=DNS_HIT \n') - f.write('#SBATCH --time=24:00:00 \n') - f.write('#SBATCH --output=out.%j.%a.txt \n') - f.write('#SBATCH --error=err.%j.%a.txt \n') - f.write('#SBATCH --constraint=gpu \n') - f.write('#SBATCH --account=s929 \n') - f.write('#SBATCH --nodes=%d \n' % NNODES) - f.write('#SBATCH --array=0-%d \n' % (nCases-1)) - #f.write('#SBATCH --partition=normal \n') - #f.write('#SBATCH --ntasks-per-node=1 \n') - - f.write('ind=$SLURM_ARRAY_TASK_ID \n') - #f.write('RUNDIRN=`./launchLESHIT.py --LES --case ${ind} --printName` \n') - #f.write('OPTIONS=`./launchLESHIT.py --LES --case ${ind} --printOptions` \n') - f.write('RUNDIRN=`./launchLESHIT.py --case ${ind} --printName` \n') - f.write('OPTIONS=`./launchLESHIT.py --case ${ind} --printOptions` \n') - - f.write('mkdir -p %s/CubismUP3D/${RUNDIRN} \n' % SCRATCH) - f.write('cd %s/CubismUP3D/${RUNDIRN} \n' % SCRATCH) - f.write('cp %s/CubismUP_3D/bin/simulation ./exec \n' % HOME) - - f.write('export MPICH_MAX_THREAD_SAFETY=multiple \n') - f.write('export OMP_NUM_THREADS=12 \n') - f.write('export CRAY_CUDA_MPS=1 \n') - #f.write('srun --ntasks 1 --ntasks-per-node=1 ./exec ${OPTIONS}\n') - f.write('srun --nodes %d --ntasks-per-node=1 ./exec ${OPTIONS}\n' % NNODES) - f.close() - os.system('sbatch HIT_sbatch') - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - - parser.add_argument('--printName', dest='printName', - action='store_true', help="Only print run name.") - parser.set_defaults(printName=False) - - parser.add_argument('--printOptions', dest='printOptions', - action='store_true', help="Only print run options.") - parser.set_defaults(printOptions=False) - - parser.add_argument('--launchDaint', dest='launchDaint', - action='store_true', help="Only print run options.") - parser.set_defaults(launchDaint=False) - - parser.add_argument('--launchEuler', dest='launchEuler', - action='store_true', help="Only print run options.") - parser.set_defaults(launchEuler=False) - - parser.add_argument('--LES', dest='LES', action='store_true', - help="Triggers LES modeling.") - parser.set_defaults(LES=False) - - parser.add_argument('--case', type = int, default = -1, - help="Simulation case.") - - args = parser.parse_args() - if args.LES: rangeles = np.linspace(0.16, 0.24, 9) - else: rangeles = [None] - - NUS, EPS, RES, RUN, CSS = [], [], [], [], [] - - for i in RUNSIDS : - for les in rangeles : - for re in ALLRES: - #for re in [60, 70, 82, 95, 111, 130, 151, 176, 205] : - #for re in [100] : - RES, RUN = RES + [re], RUN + [i] - eps, nu = epsNuFromRe(re, uEta = 1) - NUS, EPS, CSS = NUS + [nu], EPS + [eps], CSS + [les] - #if i==0: print( runspec(nu, eps, 0, None) ) - #exit() - nCases = len(NUS) - #print('Defined %d cases' % nCases) - - if args.launchDaint: launchDaint(nCases, args.LES) - - if args.case < 0: cases = range(nCases) - else: cases = [args.case] - - for i in cases: - if args.printOptions: - print( getSettings(NUS[i], EPS[i], CSS[i], RUN[i]) ) - if args.printName: - print( runspec(NUS[i], EPS[i], RES[i], RUN[i], CSS[i]) ) - if args.launchEuler: - launchEuler(NUS[i], EPS[i], RES[i], CSS[i], RUN[i]) - - diff --git a/apps/CUP3D_LES_HIT/launch_all_les.sh b/apps/CUP3D_LES_HIT/launch_all_les.sh deleted file mode 100755 index 756a2fbb..00000000 --- a/apps/CUP3D_LES_HIT/launch_all_les.sh +++ /dev/null @@ -1,113 +0,0 @@ -export SKIPMAKE=true - -# how many cases to consider -for run in 14 15; do -for nblocks in 2; do - -export LES_RL_NBLOCK=$nblocks -export LES_RL_N_TSIM=16 -POSTNAME=sim${LES_RL_N_TSIM}_RUN${run} -SPEC=LL2 -# several options for actuation freq (relative to kolmogorov time) -# bcz it affects run time we allocate different number of resources: - -################################################################################ -export LES_RL_GRIDACT=0 -export LES_RL_NETTYPE=GRU -BASENAME=BlockAgents_${SPEC}_${LES_RL_NETTYPE}_${nblocks}blocks -echo $BASENAME -################################################################################ - -export LES_RL_FREQ_A=1 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 16 -r ${RUNDIR} - -export LES_RL_FREQ_A=2 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 11 -r ${RUNDIR} - -export LES_RL_FREQ_A=4 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 6 -r ${RUNDIR} - -export LES_RL_FREQ_A=8 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=16 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=32 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - - -################################################################################ -export LES_RL_GRIDACT=0 -export LES_RL_NETTYPE=FFNN -BASENAME=BlockAgents_${SPEC}_${LES_RL_NETTYPE}_${nblocks}blocks -echo $BASENAME -################################################################################ - -export LES_RL_FREQ_A=1 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 25 -r ${RUNDIR} - -export LES_RL_FREQ_A=2 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 12 -r ${RUNDIR} - -export LES_RL_FREQ_A=4 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 7 -r ${RUNDIR} - -export LES_RL_FREQ_A=8 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=16 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=32 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - - -################################################################################ -export LES_RL_GRIDACT=1 -export LES_RL_NETTYPE=FFNN -BASENAME=GridAgents_${SPEC}_${LES_RL_NETTYPE}_${nblocks}blocks -echo $BASENAME -################################################################################ - -export LES_RL_FREQ_A=1 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 18 -r ${RUNDIR} - -export LES_RL_FREQ_A=2 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 11 -r ${RUNDIR} - -export LES_RL_FREQ_A=4 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 6 -r ${RUNDIR} #--restart ./ - -export LES_RL_FREQ_A=8 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} #--restart ./ - -export LES_RL_FREQ_A=16 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} #--restart ./ - -export LES_RL_FREQ_A=32 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} #--restart ./ - - -done -done - - diff --git a/apps/CUP3D_LES_HIT/launch_all_les_blocksizes.sh b/apps/CUP3D_LES_HIT/launch_all_les_blocksizes.sh deleted file mode 100755 index 968d046d..00000000 --- a/apps/CUP3D_LES_HIT/launch_all_les_blocksizes.sh +++ /dev/null @@ -1,90 +0,0 @@ -export SKIPMAKE=true - -# how many cases to consider -for nblocks in 2 4 8; do -#for nblocks in 4; do - -if [ ${nblocks} == 8 ] ; then -blocksize=4 -elif [ ${nblocks} == 4 ] ; then -blocksize=8 -elif [ ${nblocks} == 2 ] ; then -blocksize=16 -else -echo "ERROR" -exit 1 -fi - -make -C ~/CubismUP_3D/makefiles/ clean -make -C ~/CubismUP_3D/makefiles/ hdf=false bs=${blocksize} accfft=false -j rlHIT -#make -C ~/CubismUP_3D/makefiles/ bs=${blocksize} -j rlHIT - -for run in 02 03; do - -export LES_RL_NBLOCK=$nblocks -export LES_RL_N_TSIM=20 -POSTNAME=sim${LES_RL_N_TSIM}_RUN${run} -SPEC=NEW - -# several options for actuation freq (relative to kolmogorov time) -# bcz it affects run time we allocate different number of resources: - -################################################################################ -export LES_RL_GRIDACT=0 -export LES_RL_NETTYPE=GRU -BASENAME=BlockAgents_${SPEC}_${LES_RL_NETTYPE}_${nblocks}blocks -echo $BASENAME -################################################################################ - -export LES_RL_FREQ_A=1 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 16 -r ${RUNDIR} - -export LES_RL_FREQ_A=2 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 11 -r ${RUNDIR} - -export LES_RL_FREQ_A=4 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 6 -r ${RUNDIR} - -export LES_RL_FREQ_A=8 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=16 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - - -################################################################################ -export LES_RL_GRIDACT=0 -export LES_RL_NETTYPE=FFNN -BASENAME=BlockAgents_${SPEC}_${LES_RL_NETTYPE}_${nblocks}blocks -echo $BASENAME -################################################################################ - -export LES_RL_FREQ_A=1 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 25 -r ${RUNDIR} - -export LES_RL_FREQ_A=2 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 12 -r ${RUNDIR} - -export LES_RL_FREQ_A=4 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 7 -r ${RUNDIR} - -export LES_RL_FREQ_A=8 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -export LES_RL_FREQ_A=16 -RUNDIR=${BASENAME}_act`printf %02d $LES_RL_FREQ_A`_${POSTNAME} -#smarties.py CUP3D_LES_HIT -n 4 -r ${RUNDIR} - -done -done - - diff --git a/apps/CUP3D_LES_HIT/launch_all_les_grid.sh b/apps/CUP3D_LES_HIT/launch_all_les_grid.sh deleted file mode 100755 index 5a606495..00000000 --- a/apps/CUP3D_LES_HIT/launch_all_les_grid.sh +++ /dev/null @@ -1,75 +0,0 @@ -export SKIPMAKE=true; - -BASENAME=GridAgents_NaturalNondim_minimal_FFNN_ -SETTINGS=VRACER_LES.json -NPROCS=8 - -# how many cases to consider -for run in 1 2 3; do - -#smarties.py CUP3D_LES_HIT VRACER_LES.json -r \ -#${BASENAME}FFNN_default_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_gamma.json -r \ -#${BASENAME}GRU_gamma_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_clip.json -r \ -#${BASENAME}GRU_refer_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_size.json -r \ -#${BASENAME}GRU_nnsize_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_noise.json -r \ -#${BASENAME}GRU_noise_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_eta.json -r \ -#${BASENAME}GRU_nnlrate_RUN${run} -n 8 - -#smarties.py CUP3D_LES_HIT VRACER_LES_racer.json -r \ -#${BASENAME}GRU_racer_RUN${run} -n 8 - -export LES_RL_N_TSIM=20 - -export LES_RL_FREQ_A=4 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 7 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=1 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 17 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=16 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 5 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=2 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 11 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=8 -smarties.py CUP3D_LES_HIT ${SETTINGS} --restart ./ -n 5 -r \ -${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=32 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 4 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_FREQ_A=4 - -export LES_RL_N_TSIM=10 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 7 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_N_TSIM=40 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 7 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_N_TSIM=60 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 7 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -export LES_RL_N_TSIM=80 -#smarties.py CUP3D_LES_HIT ${SETTINGS} -n 7 -r \ -#${BASENAME}act`printf %02d $LES_RL_FREQ_A`_sim${LES_RL_N_TSIM}_RUN${run} - -done diff --git a/apps/CUP3D_LES_HIT/plotHistogramsSGS.py b/apps/CUP3D_LES_HIT/plotHistogramsSGS.py deleted file mode 100755 index 876d240c..00000000 --- a/apps/CUP3D_LES_HIT/plotHistogramsSGS.py +++ /dev/null @@ -1,113 +0,0 @@ -#!/usr/bin/env python3 -import argparse, matplotlib.pyplot as plt, numpy as np, os -from plot_eval_all_les import findBestHyperParams - -colors = ['#377eb8', '#e41a1c', '#4daf4a', '#ff7f00', '#984ea3', '#ffff33', '#a65628', '#f781bf', '#999999'] - -RESSM = np.asarray([60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190, 205]) -CSSSM = [.2, .2075, .215, .22, .225, .23, .23, .23, .23, .23, .23, .23, .23, .23, .23, .23, .23] - -def plot(ax, dirname, i): - fname = dirname + '/sgsAnalysis.raw' - rl_fname = dirname + '/simulation_000_00000/run_00000000/sgsAnalysis.raw' - dns_fname = dirname + '/dnsAnalysis.raw' - if os.path.isfile(fname) : f = np.fromfile(fname, dtype=np.float64) - elif os.path.isfile(rl_fname) : f = np.fromfile(rl_fname, dtype=np.float64) - elif os.path.isfile(dns_fname) : f = np.fromfile(dns_fname, dtype=np.float64) - else : assert False, 'sgsAnalysis file not found' - # handles deprecate file saving sizes: - if f.size % 904 is 0 : - nBINS, SHIFT = 900, 4 - nSAMPS = f.size // (nBINS + SHIFT) - nSKIPb, nSKIPe = 0, nSAMPS - x = (np.arange(nBINS) + 0.5)/nBINS * 0.09 - elif f.size % 200 is 0 : - nBINS, SHIFT = 200, 200 - nSAMPS = f.size // (nBINS + SHIFT) - nSKIPb, nSKIPe = int(0.2 * nSAMPS), int(0.8 * nSAMPS) - x = np.linspace(-0.1, 0.15, 200) - else : - nBINS, SHIFT = 90, 4 - nSAMPS = f.size // (nBINS + SHIFT) - nSKIPb, nSKIPe = 0, nSAMPS - x = (np.arange(nBINS) + 0.5)/nBINS * 0.09 - - f = f.reshape([nSAMPS, nBINS + SHIFT]) - #P = np.zeros(nBINS) - #for i in range(nSAMPS): - # MCS, VCS = f[i,0], f[i,2] - # denom = 1.0 / np.sqrt(2*np.pi*VCS) / nSAMPS - # P += denom * np.exp( -(x-MCS)**2 / (2*VCS) ) - #plt.plot(x, P) - #print(nBINS, integral) - - # Yb = np.percentile(f[nSKIPb:nSKIPe, SHIFT:], 41, axis=0) - # Yt = np.percentile(f[nSKIPb:nSKIPe, SHIFT:], 90, axis=0) - # meanH = np.percentile(f[nSKIPb:nSKIPe, SHIFT:], 70, axis=0) - - meanH = np.mean(f[nSKIPb:nSKIPe, SHIFT:], axis=0) - stdH = np.std( f[nSKIPb:nSKIPe, SHIFT:], axis=0) - Yb, Yt = meanH-stdH, meanH+stdH - - integral = sum(meanH * (x[1]-x[0])) - # max/min here are out of y axis, eliminate bug with log plot at -inf - meanH = np.maximum(meanH/integral, 1e-1) - Yb, Yt = np.maximum(Yb/integral, 1e-1), np.maximum(Yt/integral, 1e-1) - #print( sum(meanH * (x[1]-x[0]) ) ) # should be 1 + floaterr - - ax.fill_between(x[:-1], Yb[:-1], Yt[:-1], facecolor=colors[i], alpha=.5) - line = ax.plot(x[:-1], meanH[:-1], color=colors[i], label=dirname[-5:]) - return line - -def main(runspath, REs, tokens, labels): - nRes = len(REs) - axes, lines = [], [] - #sharey=True, - fig, axes = plt.subplots(1,nRes, figsize=[11.4, 2.2], frameon=False, squeeze=True) - - for j in range(nRes): - RE = REs[j] - csssm = CSSSM[np.where(RESSM == RE)[0][0]] - axes[j].plot([csssm ** 2, csssm ** 2], [0.2, 240], color=colors[4]) - - for i in range(len(tokens)): - dirn = findBestHyperParams(runspath, RE, tokens[i]) - l = plot(axes[j], dirn, i) - if j == 0: lines += [l] - - axes[0].set_ylabel(r'$\mathcal{P}\left[\,C_s^2\right]$') - #axes[1][0].invert_yaxis() - #for j in range(1, nRes): axes[j].set_yticklabels([]) - for j in range(nRes): - #axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - axes[j].set_yscale("log") - axes[j].set_xlim([-1e-3, 0.09]) - axes[j].set_xticks([0.01, 0.04, 0.07]) - #axes[j].set_ylim([0.2, 225]) - axes[j].set_ylim([0.25, 150]) - axes[j].grid() - axes[j].set_xlabel(r'$C_s^2$') - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - #axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - -if __name__ == '__main__': - p = argparse.ArgumentParser(description = "CSS plotter.") - p.add_argument('tokens', nargs='+', help="Text token distinguishing each series of runs") - p.add_argument('--path', default='./', help="Simulation dira patb.") - p.add_argument('--res', nargs='+', type=int, help="Reynolds numbers", - default = [60, 82, 111, 151, 190, 205]) - p.add_argument('--labels', nargs='+', help="Plot labels to assiciate to tokens") - args = p.parse_args() - if args.labels is None: args.labels = args.tokens - assert len(args.labels) == len(args.tokens) - - main(args.path, args.res, args.tokens, args.labels) diff --git a/apps/CUP3D_LES_HIT/plotTrainedAvgLL.py b/apps/CUP3D_LES_HIT/plotTrainedAvgLL.py deleted file mode 100755 index 111cb527..00000000 --- a/apps/CUP3D_LES_HIT/plotTrainedAvgLL.py +++ /dev/null @@ -1,113 +0,0 @@ -#!/usr/bin/env python3 -import argparse, matplotlib.pyplot as plt, numpy as np, os -from plot_eval_all_les import findBestHyperParams -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -colors = ['#377eb8', '#e41a1c', '#ff7f00', '#4daf4a', '#984ea3', '#ffff33', '#a65628', '#f781bf', '#999999'] -nBlocks = [2, 4, 8] -nAgents = [8, 64, 512] -nAgentsLab = ['8', '64', '512'] -actFreqLab = ['4', '8', '16'] -actFreq = [4, 8, 16] - -def readAvgStdLL(dirn, re, logSpectra, logEnStdev): - ''' - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : assert False, 'not found %s' % dirname - return stats[1], stats[2] - ''' - eps, nu = epsNuFromRe(re) - runData = getAllData(dirn, eps, nu, 2 * 16//2 - 1, fSkip=1) - logE = np.log(runData['spectra']) - LLt = - np.sum(0.5 * ((logE - logSpectra)/logEnStdev) ** 2, axis=1) - print('%s found %d samples' % (dirn, LLt.size) ) - return np.mean(LLt, axis=0), np.std(LLt, axis=0) - #''' - -def main(runspath, REs, tokens, labels, target): - nRes = len(REs) - fig, axes = plt.subplots(2,nRes, sharey='row', figsize=[12, 4], frameon=False, squeeze=True) - - for j in range(nRes): - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [REs[j]]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - for i in range(len(tokens)): - afLLmean, afLLstd = np.zeros(len(actFreq)), np.zeros(len(actFreq)) - nbLLmean, nbLLstd = np.zeros(len(nBlocks)), np.zeros(len(nBlocks)) - for k in range(len(actFreq)): - RE, af = REs[j], actFreq[k] - tok = '%s_%dblocks_act%02d' % (tokens[i], 4, af) - dirn = findBestHyperParams(runspath, RE, tok) - M, S = readAvgStdLL(dirn, RE, logSpectra, logEnStdev) - afLLmean[k], afLLstd[k] = M, S - - for k in range(len(nBlocks)): - RE, nb = REs[j], nBlocks[k] - tok = '%s_%dblocks_act%02d' % (tokens[i], nb, 8) - dirn = findBestHyperParams(runspath, RE, tok) - M, S = readAvgStdLL(dirn, RE, logSpectra, logEnStdev) - nbLLmean[k], nbLLstd[k] = M, S - - axes[0][j].errorbar(actFreq, afLLmean, fmt='o', yerr=afLLstd, - color=colors[i], capsize=5, elinewidth=2, markeredgewidth=2) - axes[1][j].errorbar(nAgents, nbLLmean, fmt='o', yerr=nbLLstd, - color=colors[i], capsize=5, elinewidth=2, markeredgewidth=2) - #Yb, Yt = afLLmean[k] - afLLstd[k], afLLmean[k] + afLLstd[k] - #axes[0][j].fill_between(actFreq, Yb, Yt, facecolor=colors[i], alpha=.5) - #axes[0][j].plot(actFreq, afLLmean, color=colors[i], label=tokens) - - #Yb, Yt = nbLLmean[k] - nbLLstd[k], nbLLmean[k] + nbLLstd[k] - #axes[1][j].fill_between(nBlocks, Yb, Yt, facecolor=colors[i], alpha=.5) - #axes[1][j].plot(nBlocks, nbLLmean, color=colors[i], label=tokens) - axes[0][0].set_ylabel(r'$\log \mathcal{P}(E_{LES} | E_{DNS})$') - axes[1][0].set_ylabel(r'$\log \mathcal{P}(E_{LES} | E_{DNS})$') - axes[0][0].set_ylim([-1100, -33]) - axes[1][0].set_ylim([-1100, -33]) - for j in range(nRes): - axes[0][j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - axes[0][j].set_xscale("symlog") - axes[1][j].set_xscale("symlog") - axes[0][j].set_yscale("symlog") - axes[1][j].set_yscale("symlog") - axes[0][j].grid() - axes[1][j].grid() - axes[0][j].set_xticks(actFreq) - axes[1][j].set_xticks(nAgents) - axes[0][j].set_xticklabels(actFreqLab) - axes[1][j].set_xticklabels(nAgentsLab) - #axes[j].set_xlim([0, 0.09]) - #axes[j].set_ylim([1e-4, 2e-1]) - axes[0][j].set_xlabel(r'$\tau_\eta / \Delta t_{RL}$') - axes[1][j].set_xlabel(r'$N_{agents}$') - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - #assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - #axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - -if __name__ == '__main__': - p = argparse.ArgumentParser(description = "CSS plotter.") - p.add_argument('--target', default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RK_2blocks/', help="Path to target files directory") - p.add_argument('--path', default='./', help="Simulation dira patb.") - p.add_argument('--tokens', nargs='+', help="Text token distinguishing each series of runs") - p.add_argument('--res', nargs='+', type=int, help="Reynolds numbers", - default = [60, 70, 111, 151, 176, 190, 205]) - p.add_argument('--labels', nargs='+', help="Plot labels to assiciate to tokens") - args = p.parse_args() - if args.labels is None: args.labels = args.tokens - assert len(args.labels) == len(args.tokens) - - main(args.path, args.res, args.tokens, args.labels, args.target) - diff --git a/apps/CUP3D_LES_HIT/plotTrainedAvgLL2.py b/apps/CUP3D_LES_HIT/plotTrainedAvgLL2.py deleted file mode 100755 index d0c8226a..00000000 --- a/apps/CUP3D_LES_HIT/plotTrainedAvgLL2.py +++ /dev/null @@ -1,95 +0,0 @@ -#!/usr/bin/env python3 -import argparse, matplotlib.pyplot as plt, numpy as np, os -from plot_eval_all_les import findBestHyperParams -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -colors = ['#377eb8', '#e41a1c', '#ff7f00', '#4daf4a', '#984ea3', '#ffff33', '#a65628', '#f781bf', '#999999'] -nBlocks = [2, 4, 8] -nAgents = [8, 64, 512] -nAgentsLab = ['8', '64', '512'] -actFreqLab = ['4', '8', '16'] -actFreq = [4, 8, 16] -stateInps = ['NOGLOBL', 'NOLOCAL', 'ALLINP'] -def readAvgStdLL(dirn, re, logSpectra, logEnStdev): - ''' - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : assert False, 'not found %s' % dirname - return stats[1], stats[2] - ''' - eps, nu = epsNuFromRe(re) - runData = getAllData(dirn, eps, nu, 2 * 16//2 - 1, fSkip=1) - logE = np.log(runData['spectra']) - LLt = - np.sum(0.5 * ((logE - logSpectra)/logEnStdev) ** 2, axis=1) - print('%s found %d samples' % (dirn, LLt.size) ) - return np.mean(LLt, axis=0), np.std(LLt, axis=0) - #''' - -def main(runspath, REs, tokens, labels, target): - nRes = len(REs) - fig, axes = plt.subplots(1, nRes, sharey='row', figsize=[12, 2], frameon=False, squeeze=True) - - for j in range(nRes): - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [REs[j]]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - for i in range(len(tokens)): - ssLLmean, ssLLstd = np.zeros(len(stateInps)), np.zeros(len(stateInps)) - for k in range(len(stateInps)): - RE, tok = REs[j], 'BlockAgents_%s_%s' % (stateInps[k], tokens[i]) - dirn = findBestHyperParams(runspath, RE, tok) - M, S = readAvgStdLL(dirn, RE, logSpectra, logEnStdev) - ssLLmean[k], ssLLstd[k] = M, S - - axes[j].errorbar([0, 1, 2], ssLLmean, fmt='o', yerr=ssLLstd, - color=colors[i], capsize=5, elinewidth=2, markeredgewidth=2) - #Yb, Yt = afLLmean[k] - afLLstd[k], afLLmean[k] + afLLstd[k] - #axes[0][j].fill_between(actFreq, Yb, Yt, facecolor=colors[i], alpha=.5) - #axes[0][j].plot(actFreq, afLLmean, color=colors[i], label=tokens) - - #Yb, Yt = nbLLmean[k] - nbLLstd[k], nbLLmean[k] + nbLLstd[k] - #axes[1][j].fill_between(nBlocks, Yb, Yt, facecolor=colors[i], alpha=.5) - #axes[1][j].plot(nBlocks, nbLLmean, color=colors[i], label=tokens) - axes[0].set_ylabel(r'$\log \mathcal{P}(E_{LES} | E_{DNS})$') - axes[0].set_yscale("symlog") - axes[0].set_ylim([-188, -34]) - axes[0].set_yticks([-170, -100, -60, -36]) - axes[0].set_yticklabels(['-170', '-100', '-60', '-36']) - for j in range(nRes): - axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - axes[j].grid() - axes[j].set_xticks([0, 1, 2]) - axes[j].set_xticklabels(['local', 'global', 'all']) - #axes[j].set_xlim([0, 0.09]) - - axes[j].set_xlabel('State input') - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - #assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - #axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - -if __name__ == '__main__': - p = argparse.ArgumentParser(description = "CSS plotter.") - p.add_argument('--target', default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RK_2blocks/', help="Path to target files directory") - p.add_argument('--path', default='./', help="Simulation dira patb.") - p.add_argument('--tokens', nargs='+', help="Text token distinguishing each series of runs") - p.add_argument('--res', nargs='+', type=int, help="Reynolds numbers", - default = [60, 70, 111, 151, 176, 190, 205]) - p.add_argument('--labels', nargs='+', help="Plot labels to assiciate to tokens") - args = p.parse_args() - if args.labels is None: args.labels = args.tokens - assert len(args.labels) == len(args.tokens) - - main(args.path, args.res, args.tokens, args.labels, args.target) - diff --git a/apps/CUP3D_LES_HIT/plot_compute_structure.py b/apps/CUP3D_LES_HIT/plot_compute_structure.py deleted file mode 100755 index 038edd21..00000000 --- a/apps/CUP3D_LES_HIT/plot_compute_structure.py +++ /dev/null @@ -1,319 +0,0 @@ -#!/usr/bin/env python3 -import sys, os, glob -import numpy as np -import h5py as h5 -import argparse - -import matplotlib.pyplot as plt -from mpl_toolkits.axes_grid1 import ImageGrid - -from matplotlib import cm - -tmpFileName = 'tmpSF.h5' -lesGridSize = 32 -dnsGridSize = 512 -colors = ['#ff7f00', '#377eb8', '#4daf4a', '#984ea3', '#ffff33', '#a65628', '#f781bf', '#999999'] -scale_DU = 10 * [None] - -def areDnsIncrements(r_list): - # either dns or les: - assert(r_list.size == 5 or r_list.size > 7) - return r_list.size > 7 - -def getStyle(lineid, rlist): - if areDnsIncrements(rlist): return '-', '', 'k', 'k' - else: return '', '.', colors[lineid], colors[lineid] - #return ls, marker # - -def getFilesList(simdir): - filep = sorted(glob.glob(simdir + '/vel_*.h5')) - if len(filep) == 0: - rlpath = '/simulation_000_00000/run_00000000/vel_*.h5' - filep = sorted(glob.glob(simdir + rlpath)) - assert(len(filep)) - return filep - -def getNGrid(simdir): - filep = getFilesList(simdir)[0] - with h5.File(filep, 'r') as f: - nGrid = np.array(f['data']).shape[0] - return nGrid - -def epsNuFromRe(Re, uEta = 1.0): - C = 3.0 # np.sqrt(20.0/3) - K = 2/3.0 * C * np.sqrt(15) - eps = np.power(uEta*uEta * Re / K, 3.0/2.0) - nu = np.power(uEta, 4) / eps - return eps, nu - -def getLogMeanLogStdev(sum1, sum2, N): - mX = sum1 / N - varX = sum2 / N - mX**2 - clipMx2 = np.maximum(mX**2, 1e-16) - clipVarX = np.maximum(varX, 1e-16) - mu = np.log(clipMx2 / np.sqrt(clipMx2 + clipVarX)) - sigma2 = np.log(1.0 + varX / clipMx2) - return mu, np.sqrt(sigma2) - -# this assumes log-normally distributed: -def getMeanUpperLower(sum1, sum2, N): - mX = sum1 / N - varX = sum2 / N - mX**2 - clipMx2 = np.maximum(mX**2, 1e-16) - clipVarX = np.maximum(varX, 1e-16) - mu = np.log(clipMx2 / np.sqrt(clipMx2 + clipVarX)) - sigma = np.sqrt( np.log(1.0 + varX / clipMx2) ) - return np.exp(mu), np.exp(mu+sigma), np.exp(mu-sigma) -''' -# this assumes normally distributed: -def getMeanUpperLower(sum1, sum2, N): - mX = sum1 / N - varX = np.maximum(sum2 / N - mX**2, 1e-16) - lb = np.maximum(mX - np.sqrt(varX), 1e-16) - return mX, lb, mX + np.sqrt(varX) -''' - -def etaFromRe(Re, uEta = 1.0): - eps, nu = epsNuFromRe(Re) - eta = np.power(np.power(nu,3) / eps , 1.0/4) - return eta - -def etaEpsFromRe(Re, uEta = 1.0): - eps, nu = epsNuFromRe(Re) - eta = np.power(np.power(nu,3) / eps , 1.0/4) - return eta, eps - -def getVel(fPath): - with h5.File(fPath, 'r') as f: data = np.array(f['data']) - return data[:,:,:,0], data[:,:,:,1], data[:,:,:,2] - -def realVelInc_fast(u,ax,r): - nx, ny, nz = np.shape(u) - ret = np.zeros((nx,ny,nz,2)) - # Roll array elements along a given axis. Elements that roll - # beyond the last position are re-introduced at the first. - ret[:,:,:,0] = np.roll(u, int(r), axis=ax) - u - ret[:,:,:,1] = np.roll(u, -int(r), axis=ax) - u - return ret - -def computeSF(fPath, nBins=200): - u, v, w = getVel(fPath) - u_rms = 1.0/3 * np.sqrt(np.mean(u**2 + v**2 + w**2)) - nx = u.shape[0] - n_incr = int( np.log2(nx) ) - r_list = 2 ** np.arange(n_incr) #e.g. if nx=512, up to 256 - du_L_hist = np.zeros((2, nBins, n_incr)) - S_L_r = np.zeros((3, n_incr)) - bins = np.linspace(-30, 30, nBins+1) - - # print('Computing velocity increments:') - # print('r (grid units):',r_list) - for i, r in enumerate(r_list): - # Longitudinal increment - du = realVelInc_fast(u, ax=0, r=r).reshape(-1) - dv = realVelInc_fast(v, ax=1, r=r).reshape(-1) - dw = realVelInc_fast(w, ax=2, r=r).reshape(-1) - incr = np.concatenate((du,dv,dw), axis=None) # / u_rms - # Get the pdf of du^L(r) - hist, edges = np.histogram(incr, bins=bins, density=False) - # Center bins - centers = 0.5*(edges[1:] + edges[:-1]) - dx = (edges[1:] - edges[:-1]) - # Store histogram - du_L_hist[0,:,i] = centers - du_L_hist[1,:,i] = hist - # Compute/store the SF e.g. moments of PDF[du^L(r)] - W = hist * dx - S_L_r[0,i] = np.sum(W * np.fabs(centers)**2)/np.sum(W) - S_L_r[1,i] = np.sum(W * np.fabs(centers)**3)/np.sum(W) - S_L_r[2,i] = np.sum(W * np.fabs(centers)**4)/np.sum(W) - - # store grid spacing as if in dns resolution - store_r_list = r_list * dnsGridSize / nx - return store_r_list, du_L_hist, S_L_r - -def saveSF_toHDF5(h5_path, h5_dir, data): - r_list, du_L_hist, S_L_r = data - print('Storing to', h5_dir) - with h5.File(h5_path, 'a') as h5File: - h5File.create_group(h5_dir) - h5File.create_dataset(h5_dir+'/r_list', data=r_list) - h5File.create_dataset(h5_dir+'/vel_incr', data=du_L_hist) - h5File.create_dataset(h5_dir+'/SF', data=S_L_r) - -def readStats_fromHDF5(SF_h5_path): - with h5.File(SF_h5_path, 'r') as f: - r_list = np.array(f['r_list']) - du_L_hist = np.array(f['vel_incr']) - SF_L = np.array(f['SF']) - print('sizes:', r_list.shape, du_L_hist.shape, SF_L.shape) - return r_list, du_L_hist, SF_L - -def plot_vel_incr(h5path, ax, lineid, plot_rlist): - with h5.File(h5path, 'r') as f: - flist, N = list(f.keys()), len( list(f.keys()) ) - r_list = np.array(f[flist[0] + '/r_list']) - ls, marker, c, _ = getStyle(lineid, r_list) - du_sum1 = np.zeros_like(np.array(f[flist[0]+'/vel_incr'])) - du_sum2 = np.zeros_like(np.array(f[flist[0]+'/vel_incr'])) - #for snap in flist: - for i in range(N//2, N): - du_sum1 += np.array(f['/' + flist[i] + '/vel_incr']) - du_sum2 += np.array(f['/' + flist[i] + '/vel_incr'])**2 - # centers do not actually vary in time: - centers = du_sum1[0, :] / N - dx = 0.5*(centers[1] - centers[0]) / N - # norm = np.sum(du_sum1[1,:] / N * dx, axis=0) - du_sum1, du_sum2 = du_sum1[1,:], du_sum2[1,:] - dumean, duub, dulb = getMeanUpperLower(du_sum1, du_sum2, N) - norm = np.sum(dumean * dx, axis=0) - # normalize to get probabilities - dumean, duub, dulb = dumean/norm, duub/norm, dulb/norm - for i, r in enumerate(r_list): - if not r in plot_rlist: continue - #print(centers.shape) - nc = dumean.shape[0] - scale = (dumean[nc//2 -1, i] + dumean[nc//2, i])/2 - indscale = int(np.log2(r)) - global scale_DU - if scale_DU[indscale] is None: scale_DU[indscale] = scale - scale = 1 #scale_DU[indscale] / scale - if areDnsIncrements(r_list): - x = centers[:,i].flatten() - m, lb, ub = dumean[:,i]*scale, duub[:,i]*scale, dulb[:,i]*scale - else: - #ins = np.arange(2, 200, 5) - ins = np.arange(5, 200, 7) - x, m = centers[ins,i].flatten(), dumean[ins,i]*scale - lb, ub = duub[ins,i]*scale, dulb[ins,i]*scale - ax.plot(x, m, color=c, ls=ls, marker=marker) - if areDnsIncrements(r_list): - ax.fill_between(x, lb, ub, color=c, alpha=0.3, linewidth=0) - #x, y = centers, du_mean[:,i] - #std2_y = du_std2[1,:,i] - #idx = y>0 - #e = 0.434*np.sqrt(std2_y[idx]) / y[idx] - #ax.plot(x[idx], y[idx], c=clist[i], \ - # ls=ls, marker=marker, label='r={}'.format(r)) - #if areDnsIncrements(r_list): - # ax.fill_between() - - -def plot_SF(h5path, re, ax, lineid): - with h5.File(h5path, 'r') as f: - flist, N = list(f.keys()), len( list(f.keys()) ) - r_list = np.array(f[flist[0] + '/r_list']) - SF_sum1 = np.zeros_like(np.array(f[flist[0] + '/SF'])) - SF_sum2 = np.zeros_like(np.array(f[flist[0] + '/SF'])) - for snap in flist: - SF_sum1 += np.array(f['/'+snap+'/SF']) - SF_sum2 += np.array(f['/'+snap+'/SF'])**2 - #SF_mean, SF_std = getLogMeanLogStdev(SF_sum1, SF_sum2, N) - SFmean, SFub, SFlb = getMeanUpperLower(SF_sum1, SF_sum2, N) - # Symetric 1-sigma envelope in log space - eta, eps = etaEpsFromRe(re) - # r_list is stored as if increments in dns grid - x = r_list * 2 * np.pi / dnsGridSize - scale2 = np.power(eps * x, -2.0/3.0) - scale3 = np.power(eps * x, -3.0/3.0) - scale4 = np.power(eps * x, -4.0/3.0) - ls, marker, _, c = getStyle(lineid, r_list) - SF2 = SFmean[0,:] * scale2 - SF3 = SFmean[1,:] * scale3 - SF4 = SFmean[2,:] * scale4 - ax.plot(x/eta, SF2, c=c, ls=ls, marker=marker) - #ax.plot(x/eta, SF3, c=c, ls=ls, marker=marker) - #ax.plot(x/eta, SF4, c=c, ls=ls, marker=marker) - if areDnsIncrements(r_list): - SF2ub, SF2lb = SFub[0,:] * scale2, SFlb[0,:] * scale2 - SF3ub, SF3lb = SFub[1,:] * scale3, SFlb[1,:] * scale3 - SF4ub, SF4lb = SFub[2,:] * scale4, SFlb[2,:] * scale4 - ax.fill_between(x/eta, SF2ub,SF2lb, color=c, alpha=.3, linewidth=0) - #ax.fill_between(x/eta, SF3ub,SF3lb, color=c, alpha=.3, linewidth=0) - #ax.fill_between(x/eta, ub,lb, color=c, alpha=.3) - # Hand-fitted power laws - #ax.plot(x, 0.32*(r_list)**(2.0/3), c='C0', ls='-', label='$r^{2/3}$') - #ax.plot(x, 0.32*(r_list)**(3.0/3), c='C1', ls='-', label='$r^{3/3}$') - #ax.plot(x, 0.38*(r_list)**(4.0/3), c='C2', ls='-', label='$r^{4/3}$') - - -if __name__ == "__main__": - - parser = argparse.ArgumentParser( - description = "Compute Structure Functions from DNS data.") - - parser.add_argument('simList', nargs='+', - help="Path of simulations to process.") - parser.set_defaults(simList=[]) - - parser.add_argument('--Re', nargs='+', type=int, - help="Reynolds number of simulations.") - parser.set_defaults(Re=[60, 82, 111, 151, 190, 205]) - - parser.add_argument('--plot_rlist',nargs='+', - help="List of spatial increments to consider (in grid spacing units).") - parser.set_defaults(plot_rlist=[32]) - - parser.add_argument('--recompute', action='store_true', - help="Only call the plotting routine.") - parser.set_defaults(recompute=False) - - args = parser.parse_args() - - if args.recompute: - for sim_t in args.simList: - for re in args.Re: - sim_dir = sim_t + '_RE%03d/' % re - print("Processing simulation {}".format(sim_dir)) - fList = getFilesList(sim_dir) - h5_path = sim_dir + '/' + tmpFileName - if os.path.isfile(h5_path): os.remove(h5_path) - - for fPath in fList[10:]: #[::100]: - print("Processing snapshot {}".format(fPath)) - h5_dir = fPath[-12:-3] - print(h5_dir, sim_dir) - data = computeSF(fPath) - saveSF_toHDF5(h5_path, h5_dir, data) - - nSims = len(args.simList) - - simTypes = ['DNS', 'LES', 'RLLES'] - nTypes = len(simTypes) - nPlots = len(args.Re) # nSims // nTypes - #print(nPlots) - #sharey='row', - fig, ax = plt.subplots(2,nPlots, figsize=[12.15, 4], frameon=False, squeeze=True) - #fig, ax = plt.subplots(2, nPlots, figsize=(3*nPlots, 6))#, sharex=True, sharey=True) - if nPlots==1: ax = np.expand_dims(ax, axis=1) - - for i, sim_t in enumerate(args.simList): - for j, re in enumerate(args.Re): - sim_dir = sim_t + '_RE%03d/' % re - #plotID = i // nTypes - #simType = simTypes[i%nTypes] - #ls, marker, clist_du, c_SN = getStyle(i, nGrid) - #nGrid = getNGrid(sim_dir) - h5_path = sim_dir + '/' + tmpFileName - plot_vel_incr(h5_path, ax[0,j], i, args.plot_rlist) - plot_SF(h5_path, re, ax[1,j], i) - #ax[0,j].set_title(r'$Re_\lambda={}$'.format(re)) - ax[0,j].set_xlabel(r'$\delta u(\Delta) / u_{\eta}$') - ax[1,j].set_xlabel(r'$r/\eta$') - ax[1,j].set_xlim((0, None)) - ax[0,j].set_xlim((-12, 12)) - #ax[1,j].set_ylim((0.5, None)) - ax[0,j].set_ylim((1e-3, 99)) - ax[0,j].set_yscale('log') - ax[0,j].grid(True) - ax[1,j].grid(True) - - ax[0,0].set_ylabel(r'$\mathcal{P}\,\left[\delta u(\Delta)\right]$') - #ax[0,0].legend() - #ax[1,0].legend() - ax[1,0].set_ylabel(r'$S^2(r) / (\epsilon r)^{2/3}$') - - - #ax[1,0].set_yscale('log') - plt.tight_layout() - plt.show() diff --git a/apps/CUP3D_LES_HIT/plot_eval_all_les.py b/apps/CUP3D_LES_HIT/plot_eval_all_les.py deleted file mode 100755 index b2c1450f..00000000 --- a/apps/CUP3D_LES_HIT/plot_eval_all_les.py +++ /dev/null @@ -1,218 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os, subprocess, time -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#377eb8', '#4daf4a', '#984ea3', '#e41a1c', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#377eb8', '#ff7f00', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -#colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] - -lastCompiledBlockSize = 16 - -def findIfGridAgent(traindir): - if 'BlockAgents' in traindir: return False - return True -def findActFreq(traindir): - if 'act02' in traindir: return 2 - if 'act04' in traindir: return 4 - if 'act08' in traindir: return 8 - if 'act16' in traindir: return 16 - assert False - return 0 -def findBlockSize(traindir): - if '2blocks' in traindir: return 16 - if '4blocks' in traindir: return 8 - if '8blocks' in traindir: return 4 - assert False - return 0 -def findBlockNum(traindir): - if '2blocks' in traindir: return 2 - if '4blocks' in traindir: return 4 - if '8blocks' in traindir: return 8 - assert False - return 0 - -''' -def findBestHyperParams(path, token, re): - bestDir, bestLL = -1, -1e9 - for nBlocks in [2, 4, 8]: - for actFreq in [2, 4, 8, 16]: - for nn in ['FFNN']: - re_spec = 'RE%03d' % re - hp_spec = '%s_%dblocks_act%02d' % (nn, nBlocks, actFreq) - alldirs = glob.glob(path + '/*' + token + '*' + hp_spec + '*' + re_spec) - for dirn in alldirs: - print(dirn) - filen = '/simulation_000_00000/run_00000000/spectrumProbability.text' - stats = np.fromfile(dirn + finen, sep=' ') - if stats[1] > bestLL: bestDir, bestLL = dirn, stats[1] - return bestDir -''' - -def findBestHyperParams(path, re, token): - bestDir, bestLL, bestStats = None, -1e9, None - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - # allow token to be actually a path - if token[0] == '/': alldirs = glob.glob(token + '*' + ('RE%03d' % re) + '*') - else: alldirs = glob.glob(path + '/*' + ('RE%03d' % re) + '*') - for dirn in alldirs: - if token not in dirn: continue - #print (dirn) - # if token did not produce any stats file (e.g. not applicable to dns): - if bestDir is None: bestDir = dirn - # else, pick best perfoming alternative: - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : continue - if len(stats) == 0: continue - #print(dirn, stats) - if stats[1] > bestLL and stats[3] > 1000: - bestDir, bestLL, bestStats = dirn, stats[1], stats - assert bestDir is not None, "token %s - %d not found" % (token, re) - #print(bestDir, bestStats) - return bestDir - -def findDirectory(runspath, re, token): - retoken = 'RE%03d' % re - alldirs = glob.glob(runspath + '/*') - for dirn in alldirs: - if retoken not in dirn: continue - if token not in dirn: continue - return dirn - assert False, 're-token combo not found' - -def main_integral(runspaths, target, REs, tokens, labels, nBins): - minNbins = min(nBins) - #plt.figure() - #REs = findAllParams(path) - nRes = len(REs) - axes, lines = [], [] - fig, axes = plt.subplots(2, nRes, sharey='row', figsize=[12, 4.8], frameon=False, squeeze=True) - #for j in range(nRes): - # axes += [ plt.subplot(1, nRes, j+1) ] - - for j, RE in enumerate(REs): - eps, nu = epsNuFromRe(RE) - Ekscal = np.power(nu**5 * eps, 0.25) - # read target file - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - minNbins = min(minNbins, logSpectra.size) - modes = np.arange(1, minNbins+1, dtype=np.float64) # assumes box is 2 pi - axes[1][j].plot(np.zeros(minNbins), modes, 'k-') - LLTop = np.exp(logSpectra + logEnStdev)/Ekscal - LLBot = np.exp(logSpectra - logEnStdev)/Ekscal - axes[0][j].plot(np.exp(logSpectra)/Ekscal, modes, color='k') - axes[0][j].fill_betweenx(modes, LLBot, LLTop, facecolor='k', alpha=.5) - #axes[0][j].plot(modes, np.exp(logSpectra)/Ekscal, color='k') - #axes[0][j].fill_between(modes, LLBot, LLTop, facecolor='k', alpha=.5) - - for i, token in enumerate(tokens): - runspath = runspaths[i] - dirn = findBestHyperParams(runspath, RE, tokens[i]) - #print(nBins[i]) - runData = getAllData(dirn, eps, nu, nBins[i], fSkip=1) - logE = np.log(runData['spectra']) - #print(logE.shape[0]) - avgLogSpec, stdLogSpec = np.mean(logE, axis=0), np.std(logE, axis=0) - assert(avgLogSpec.size == nBins[i]) - avgLogSpec = avgLogSpec[:minNbins] - stdLogSpec = stdLogSpec[:minNbins] - #print(avgLogSpec.shape, logSpectra.shape, logEnStdev.shape) - LL = (avgLogSpec - logSpectra) / logEnStdev - p = axes[1][j].plot(LL, modes, label=labels[i], color=colors[i]) # , label=labels[i] - LLTop = (avgLogSpec + stdLogSpec - logSpectra) / logEnStdev - LLBot = (avgLogSpec - stdLogSpec - logSpectra) / logEnStdev - axes[1][j].fill_betweenx(modes, LLBot, LLTop, facecolor=colors[i], alpha=.5) - - Ek = np.exp(avgLogSpec) / Ekscal - LLTop = np.exp(avgLogSpec+stdLogSpec) / Ekscal - LLBot = np.exp(avgLogSpec-stdLogSpec) / Ekscal - #axes[0][j].fill_between(modes, LLBot, LLTop, facecolor=colors[i], alpha=.5) - #axes[0][j].plot(modes, Ek, label=labels[i], color=colors[i]) # , label=labels[i] - axes[0][j].plot(Ek, modes, label=labels[i], color=colors[i]) # , label=labels[i] - axes[0][j].fill_betweenx(modes, LLBot, LLTop, facecolor=colors[i], alpha=.5) - ''' - LLt = (0.5 * (logE - logSpectra) / logEnStdev ) ** 2 - sumLLt = np.sum(LLt, axis=1) - nSamples = sumLLt.size - print('found %d samples' % nSamples) - p = axes[j].plot(np.arange(nSamples), sumLLt, label=labels[i], color=colors[i]) - ''' - if j == 0: lines += [p] - - axes[1][0].set_ylim([1, 15]) - axes[1][0].set_ylabel(r'$k \cdot L / 2 \pi$') - axes[1][0].invert_yaxis() - for j in range(nRes): - axes[1][j].grid() - axes[0][j].grid() - axes[0][j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - #axes[1][j].set_xlabel(r'$\frac{\log E^{LES}(k) - \mu[\log E^{DNS}(k)]}{\sigma[\log E^{DNS}(k)]}$') - axes[1][j].set_xlabel(r'$\frac{\log E_{LES} - \mu(\log E_{DNS})}{\sigma(\log E_{DNS})}$') - ''' - axes[0][0].set_ylabel(r'$E_{LES} \,/\, \eta u^2_\eta$') - axes[0][0].set_yscale("log") - for j in range(nRes): - axes[0][j].set_xlim([1, 15]) - axes[0][j].set_xlabel(r'$k \cdot L / 2 \pi$') - ''' - axes[0][0].set_ylim([1, 15]) - axes[0][0].set_ylabel(r'$k \cdot L / 2 \pi$') - axes[0][0].invert_yaxis() - for j in range(nRes): - axes[0][j].set_xlabel(r'$E_{LES} \,/\, \eta u^2_\eta$') - axes[0][j].set_xscale("log") - - #axes[1][0].invert_yaxis() - #for j in range(1,nRes): axes[j].set_yticklabels([]) - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[0][-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - #axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - ADD = parser.add_argument - ADD('tokens', nargs='+', - help="Directory naming tokens shared by all runs across Re") - ADD('-t', '--target', help="Path to target DNS files directory", - default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/') - ADD('--res', nargs='+', type=int, default = [60, 70, 111, 151, 176, 190, 205], - help="Reynolds numbers to visualize") - #default = [65, 76, 88, 103, 120, 140, 163], - - ADD('--labels', nargs='+', help="Plot labels to assiciate to tokens") - ADD('-r', '--runspath', default=['./'], nargs='+', - help="Relative path to evaluation runs") - ADD('--gridSize', nargs='+', type=int, default=[32], - help="1D grid size used by the evaluation runs") - - args = parser.parse_args() - if args.labels is None: args.labels = args.tokens - if len(args.runspath) == 1: args.runspath = args.runspath * len(args.tokens) - if len(args.gridSize) < len(args.labels): - assert(len(args.gridSize) == 1) - args.gridSize = args.gridSize * len(args.labels) - assert len(args.labels) == len(args.tokens) - for i in range(len(args.gridSize)): args.gridSize[i] = args.gridSize[i]//2 - 1 - - main_integral(args.runspath, args.target, args.res, args.tokens, args.labels, args.gridSize) - - - diff --git a/apps/CUP3D_LES_HIT/plot_eval_all_les2.py b/apps/CUP3D_LES_HIT/plot_eval_all_les2.py deleted file mode 100755 index a939aec1..00000000 --- a/apps/CUP3D_LES_HIT/plot_eval_all_les2.py +++ /dev/null @@ -1,190 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os, subprocess, time -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -#colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] - -lastCompiledBlockSize = 16 - -def findIfGridAgent(traindir): - if 'BlockAgents' in traindir: return False - return True -def findActFreq(traindir): - if 'act02' in traindir: return 2 - if 'act04' in traindir: return 4 - if 'act08' in traindir: return 8 - if 'act16' in traindir: return 16 - assert False - return 0 -def findBlockSize(traindir): - if '2blocks' in traindir: return 16 - if '4blocks' in traindir: return 8 - if '8blocks' in traindir: return 4 - assert False - return 0 -def findBlockNum(traindir): - if '2blocks' in traindir: return 2 - if '4blocks' in traindir: return 4 - if '8blocks' in traindir: return 8 - assert False - return 0 - -''' -def findBestHyperParams(path, token, re): - bestDir, bestLL = -1, -1e9 - for nBlocks in [2, 4, 8]: - for actFreq in [2, 4, 8, 16]: - for nn in ['FFNN']: - re_spec = 'RE%03d' % re - hp_spec = '%s_%dblocks_act%02d' % (nn, nBlocks, actFreq) - alldirs = glob.glob(path + '/*' + token + '*' + hp_spec + '*' + re_spec) - for dirn in alldirs: - print(dirn) - filen = '/simulation_000_00000/run_00000000/spectrumProbability.text' - stats = np.fromfile(dirn + finen, sep=' ') - if stats[1] > bestLL: bestDir, bestLL = dirn, stats[1] - return bestDir -''' - -def findBestHyperParams(path, re, token): - bestDir, bestLL = None, -1e9 - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - alldirs = glob.glob(path + '/*' + ('RE%03d' % re) + '*') - for dirn in alldirs: - if token not in dirn: continue - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : continue - if len(stats) == 0: continue - if stats[1] > bestLL: bestDir, bestLL = dirn, stats[1] - assert bestDir is not None, "token %s not found" % token - print(bestDir) - return bestDir - -def findDirectory(runspath, re, token): - retoken = 'RE%03d' % re - alldirs = glob.glob(runspath + '/*') - for dirn in alldirs: - if retoken not in dirn: continue - if token not in dirn: continue - return dirn - assert False, 're-token combo not found' - -def main_integral(runspath, target, REs, tokens, labels): - nBins = 2 * 16//2 - 1 - modes = np.arange(1, nBins+1, dtype=np.float64) # assumes box is 2 pi - #plt.figure() - #REs = findAllParams(path) - nRes = len(REs) - axes, lines = [], [] - fig, axes = plt.subplots(1, nRes, sharex=True, sharey=True, figsize=[12, 4.8]) - #for j in range(nRes): - # axes += [ plt.subplot(1, nRes, j+1) ] - - for j in range(nRes): - RE = REs[j] - # read target file - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - axes[j].plot(np.zeros(nBins), modes, 'k-') - for i in range(len(tokens)): - eps, nu = epsNuFromRe(RE) - dirn = findBestHyperParams(runspath, RE, tokens[i]) - runData = getAllData(dirn, eps, nu, nBins, fSkip=1) - logE = np.log(runData['spectra']) - print(logE.shape[0]) - avgLogSpec, stdLogSpec = np.mean(logE, axis=0), np.std(logE, axis=0) - assert(avgLogSpec.size == nBins) - LL = (avgLogSpec - logSpectra) / logEnStdev - p = axes[j].plot(LL, modes, label=labels[i], color=colors[i]) # , label=labels[i] - LLTop = (avgLogSpec + stdLogSpec - logSpectra) / logEnStdev - LLBot = (avgLogSpec - stdLogSpec - logSpectra) / logEnStdev - axes[j].fill_betweenx(modes, LLBot, LLTop, facecolor=colors[i], alpha=.5) - ''' - LLt = (0.5 * (logE - logSpectra) / logEnStdev ) ** 2 - sumLLt = np.sum(LLt, axis=1) - nSamples = sumLLt.size - print('found %d samples' % nSamples) - p = axes[j].plot(np.arange(nSamples), sumLLt, label=labels[i], color=colors[i]) - ''' - if j == 0: lines += [p] - axes[0].set_ylabel(r'$k$') - for j in range(nRes): - axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - #axes[j].set_xscale("log") - axes[j].set_ylim([1, 15]) - axes[j].grid() - axes[j].invert_yaxis() - axes[j].set_xlabel(r'$\frac{\log E(k) - \mu^{DNS}_{\log E(k)}}{\sigma^{DNS}_{\log E(k)}}$') - #for j in range(1,nRes): axes[j].set_yticklabels([]) - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - #axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--target', help="Path to target files directory") - parser.add_argument('--tokens', nargs='+', help="Text token distinguishing each series of runs") - parser.add_argument('--res', nargs='+', type=int, help="Reynolds numbers") - parser.add_argument('--labels', nargs='+', help="Plot labels to assiciate to tokens") - parser.add_argument('--runspath', help="Plot labels to assiciate to tokens") - - args = parser.parse_args() - if args.labels is None: args.labels = args.tokens - assert len(args.labels) == len(args.tokens) - - main_integral(args.runspath, args.target, args.res, args.tokens, args.labels) - -def launchEvalRun(traindir, targetsPath): - envVars = 'export LES_RL_NETTYPE=FFNN\n export SKIPMAKE=true\n ' - envVars += 'export LES_RL_N_TSIM=1000\n ' - envVars += 'export LES_RL_GRIDACT=1\n ' - if findIfGridAgent(traindir): - envVars += 'export LES_RL_GRIDACTSETTINGS=1\n ' - else: envVars += 'export LES_RL_GRIDACTSETTINGS=0\n ' - envVars += 'export LES_RL_NBLOCK=%d\n ' % findBlockNum(traindir) - envVars += 'export LES_RL_FREQ_A=%d\n ' % findActFreq(traindir) - - for re in [60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190, 205]: - envVars += 'export LES_RL_EVALUATE=RE%03d\n ' % (re) - dirname = '%s_RE%03d' % (traindir, re) - options = 'CUP3D_LES_HIT -n 1 --nEvalSeqs 1 --clockHours 1 --nTaskPerNode 2' - trainPath = targetsPath + '/' + traindir - cmd = 'smarties.py %s -r %s --restart %s ' % (options, dirname, trainPath) - if os.path.isdir( dirname ): - print('%s already exists, skipping' % dirname) - else: - subprocess.run(envVars + cmd, shell=True) - time.sleep(10) # prevent daint from disabling job submission - -''' -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - parser.add_argument('--targetsPath', - help="Simulation directories containing the trained policies") - parser.add_argument('targets', nargs='+', - help="Simulation directories containing the trained policies") - args = parser.parse_args() - for dirn in args.targets: launchEvalRun(dirn, args.targetsPath) -''' -#THISDIR=${SMARTIES_ROOT}/apps/CUP3D_LES_HIT -#SPEC=${REW}_${LES_RL_NETTYPE}_${LES_RL_NBLOCK}blocks_act`printf %02d $LES_RL_FREQ_A` diff --git a/apps/CUP3D_LES_HIT/plot_eval_all_les_gridsizes.py b/apps/CUP3D_LES_HIT/plot_eval_all_les_gridsizes.py deleted file mode 100755 index c02bb377..00000000 --- a/apps/CUP3D_LES_HIT/plot_eval_all_les_gridsizes.py +++ /dev/null @@ -1,198 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os, subprocess, time -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra -from plot_eval_all_les import findBestHyperParams as findBestHyperParamsReference - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#377eb8', '#e41a1c', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -#colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] -colors = ['#6baed6','#3182bd','#08519c', '#74c476','#31a354','#006d2c'] -lastCompiledBlockSize = 16 - -def findIfGridAgent(traindir): - if 'BlockAgents' in traindir: return False - return True -def findActFreq(traindir): - if 'act02' in traindir: return 2 - if 'act04' in traindir: return 4 - if 'act08' in traindir: return 8 - if 'act16' in traindir: return 16 - assert False - return 0 -def findBlockSize(traindir): - if '2blocks' in traindir: return 16 - if '4blocks' in traindir: return 8 - if '8blocks' in traindir: return 4 - assert False - return 0 -def findBlockNum(traindir): - if '2blocks' in traindir: return 2 - if '4blocks' in traindir: return 4 - if '8blocks' in traindir: return 8 - assert False - return 0 - -''' -def findBestHyperParams(path, token, re): - bestDir, bestLL = -1, -1e9 - for nBlocks in [2, 4, 8]: - for actFreq in [2, 4, 8, 16]: - for nn in ['FFNN']: - re_spec = 'RE%03d' % re - hp_spec = '%s_%dblocks_act%02d' % (nn, nBlocks, actFreq) - alldirs = glob.glob(path + '/*' + token + '*' + hp_spec + '*' + re_spec) - for dirn in alldirs: - print(dirn) - filen = '/simulation_000_00000/run_00000000/spectrumProbability.text' - stats = np.fromfile(dirn + finen, sep=' ') - if stats[1] > bestLL: bestDir, bestLL = dirn, stats[1] - return bestDir -''' - -def findBestHyperParams(path, re, token, gridSize): - bestDir, bestLL, bestStats = None, -1e9, None - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - alldirs = glob.glob(path + '/*' + ('RE%03d' % re) + '*') - gridToken = '%03dPD' % gridSize - for dirn in alldirs: - if token not in dirn: continue - #if gridSize == 32 and '128PD' in dirn: continue - #if gridSize == 32 and '064PD' in dirn: continue - #elif gridSize != 32 and gridToken not in dirn: continue - if gridToken not in dirn: continue - #print (dirn) - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : continue - if len(stats) == 0: continue - #print(dirn, stats) - if stats[1] > bestLL and stats[3] > 1000: - bestDir, bestLL, bestStats = dirn, stats[1], stats - assert bestDir is not None, "token %s - %d not found" % (token, re) - print(bestDir, bestStats) - return bestDir - -def findDirectory(runspath, re, token): - retoken = 'RE%03d' % re - alldirs = glob.glob(runspath + '/*') - for dirn in alldirs: - if retoken not in dirn: continue - if token not in dirn: continue - return dirn - assert False, 're-token combo not found' - -def main_integral(runspath, target, REs, tokens, labels, gridSizes, refs): - nBins = np.zeros(len(gridSizes), dtype=int) - for i in range(len(gridSizes)): nBins[i] = gridSizes[i]//2 - 1 - maxNbins, nRes = max(nBins), len(REs) - - axes, lines = [], [] - fig, axes = plt.subplots(1, nRes, sharey=True, figsize=[12, 3], frameon=False, squeeze=True) - - for j in range(nRes): - RE, colorid = REs[j], 0 - eps, nu = epsNuFromRe(RE) - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - - modes = np.arange(1, maxNbins+1, dtype=np.float64) # assumes box is 2 pi - axes[j].plot(np.zeros(maxNbins), modes, 'k-') - - for i in range(len(tokens)): - for k in range(len(gridSizes)): - dirn = findBestHyperParams(runspath, RE, tokens[i], gridSizes[k]) - runData = getAllData(dirn, eps, nu, nBins[k], fSkip=1) - logE = np.log(runData['spectra']) - - avgLogSpec, stdLogSpec = np.mean(logE, axis=0), np.std(logE, axis=0) - assert(avgLogSpec.size == nBins[k]) - - modes = np.arange(1, nBins[k]+1, dtype=np.float64) # assumes box is 2 pi - M, S = logSpectra[:nBins[k]], logEnStdev[:nBins[k]] - LL = (avgLogSpec - M) / S - color, colorid = colors[colorid], colorid + 1 - p = axes[j].plot(LL, modes, label=labels[i], color=color) # , label=labels[i] - LLTop = (avgLogSpec + stdLogSpec - M) / S - LLBot = (avgLogSpec - stdLogSpec - M) / S - axes[j].fill_betweenx(modes, LLBot, LLTop, facecolor=color, alpha=.5) - - if j * k == 0: lines += [p] - - for i in range(len(refs)): - dirn = findBestHyperParamsReference(runspath, RE, refs[i]) - if 'BPD2' in dirn: gridsize = 32 - if 'BPD4' in dirn: gridsize = 64 - if 'BPD8' in dirn: gridsize = 128 - nBin = gridsize//2 - 1 - runData = getAllData(dirn, eps, nu, nBin, fSkip=1) - logE = np.log(runData['spectra']) - - avgLogSpec, stdLogSpec = np.mean(logE, axis=0), np.std(logE, axis=0) - assert(avgLogSpec.size == nBin) - - modes = np.arange(1, nBin+1, dtype=np.float64) # assumes box is 2 pi - M, S = logSpectra[:nBin], logEnStdev[:nBin] - LL = (avgLogSpec - M) / S - color, colorid = colors[colorid], colorid + 1 - p = axes[j].plot(LL, modes, color=color) # , label=labels[i] - LLTop = (avgLogSpec + stdLogSpec - M) / S - LLBot = (avgLogSpec - stdLogSpec - M) / S - axes[j].fill_betweenx(modes, LLBot, LLTop, facecolor=color, alpha=.5) - - axes[0].set_ylabel(r'$k \cdot L / 2 \pi$') - axes[0].set_yscale("symlog", linthreshy=15) - axes[0].set_ylim([1, maxNbins]) - axes[0].set_yticks([10, 15, 31, 63]) - axes[0].set_yticklabels(['10', '15', '31', '63']) - axes[0].invert_yaxis() - - for j in range(nRes): - axes[j].grid() - axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - axes[j].set_xlabel(r'$\frac{\log E_{LES} - \mu(\log E_{DNS})}{\sigma(\log E_{DNS})}$') - - axes[0].set_xlim([-6.2, 2.9]) - axes[1].set_xlim([-6.7, 5.0]) - axes[2].set_xlim([-7.2, 7]) - axes[3].set_xlim([-6.5, 8.5]) - axes[4].set_xlim([-7.2, 10]) - axes[5].set_xlim([-6.8, 11.5]) - axes[6].set_xlim([-6.9, 13]) - #assert(len(lines) == len(labels)) - fig.tight_layout() - plt.show() - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - ADD = parser.add_argument - ADD('--target', help="Path to target files directory", - default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RK_8blocks/') - ADD('--tokens', nargs='+', help="Text token distinguishing each series of runs") - ADD('--refs', nargs='+', help="Text token distinguishing each series of runs") - ADD('--res', nargs='+', type=int, help="Reynolds numbers", - default = [60, 70, 111, 151, 176, 190, 205]) - ADD('--labels', nargs='+', help="Plot labels to assiciate to tokens") - ADD('--runspath', default='./', help="Plot labels to assiciate to tokens") - ADD('--gridSize', nargs='+', type=int, default=[32], help="Plot labels to assiciate to tokens") - - args = parser.parse_args() - - if args.labels is None: args.labels = args.tokens - assert len(args.labels) == len(args.tokens) - - #if len(args.gridSize) < len(args.labels): - # assert(len(args.gridSize) == 1) - # args.gridSize = args.gridSize * len(args.labels) - - main_integral(args.runspath, args.target, args.res, args.tokens, args.labels, args.gridSize, args.refs) - - - diff --git a/apps/CUP3D_LES_HIT/plot_eval_all_les_nospectrum.py b/apps/CUP3D_LES_HIT/plot_eval_all_les_nospectrum.py deleted file mode 100755 index 9f4cb19d..00000000 --- a/apps/CUP3D_LES_HIT/plot_eval_all_les_nospectrum.py +++ /dev/null @@ -1,177 +0,0 @@ -#!/usr/bin/env python3 -import re, argparse, numpy as np, glob, os, subprocess, time -import matplotlib.pyplot as plt -from extractTargetFilesNonDim import epsNuFromRe -from extractTargetFilesNonDim import getAllData -from computeSpectraNonDim import readAllSpectra - -colors = ['#1f78b4', '#33a02c', '#e31a1c', '#ff7f00', '#6a3d9a', '#b15928', '#a6cee3', '#b2df8a', '#fb9a99', '#fdbf6f', '#cab2d6', '#ffff99'] -colors = ['#377eb8', '#e41a1c', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] - -#colors = ['#377eb8', '#ff7f00', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf', '#999999'] -#colors = ['#a6cee3', '#1f78b4', '#b2df8a', '#33a02c', '#fb9a99', '#e31a1c', '#fdbf6f', '#ff7f00', '#cab2d6', '#6a3d9a', '#ffff99', '#b15928'] -#colors = ['#abd9e9', '#74add1', '#4575b4', '#313695', '#006837', '#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#fee08b', '#fdae61', '#f46d43', '#d73027', '#a50026', '#8e0152', '#c51b7d', '#de77ae', '#f1b6da'] - -lastCompiledBlockSize = 16 - -def findIfGridAgent(traindir): - if 'BlockAgents' in traindir: return False - return True -def findActFreq(traindir): - if 'act02' in traindir: return 2 - if 'act04' in traindir: return 4 - if 'act08' in traindir: return 8 - if 'act16' in traindir: return 16 - assert False - return 0 -def findBlockSize(traindir): - if '2blocks' in traindir: return 16 - if '4blocks' in traindir: return 8 - if '8blocks' in traindir: return 4 - assert False - return 0 -def findBlockNum(traindir): - if '2blocks' in traindir: return 2 - if '4blocks' in traindir: return 4 - if '8blocks' in traindir: return 8 - assert False - return 0 - -''' -def findBestHyperParams(path, token, re): - bestDir, bestLL = -1, -1e9 - for nBlocks in [2, 4, 8]: - for actFreq in [2, 4, 8, 16]: - for nn in ['FFNN']: - re_spec = 'RE%03d' % re - hp_spec = '%s_%dblocks_act%02d' % (nn, nBlocks, actFreq) - alldirs = glob.glob(path + '/*' + token + '*' + hp_spec + '*' + re_spec) - for dirn in alldirs: - print(dirn) - filen = '/simulation_000_00000/run_00000000/spectrumProbability.text' - stats = np.fromfile(dirn + finen, sep=' ') - if stats[1] > bestLL: bestDir, bestLL = dirn, stats[1] - return bestDir -''' - -def findBestHyperParams(path, re, token): - bestDir, bestLL, bestStats = None, -1e9, None - filen1 = '/simulation_000_00000/run_00000000/spectrumProbability.text' - filen2 = '/spectrumProbability.text' - # allow token to be actually a path - if token[0] == '/': alldirs = glob.glob(token + '*' + ('RE%03d' % re) + '*') - else: alldirs = glob.glob(path + '/*' + ('RE%03d' % re) + '*') - for dirn in alldirs: - if token not in dirn: continue - #print (dirn) - # if token did not produce any stats file (e.g. not applicable to dns): - if bestDir is None: bestDir = dirn - # else, pick best perfoming alternative: - if os.path.isfile(dirn+filen1): stats = np.fromfile(dirn+filen1, sep=' ') - elif os.path.isfile(dirn+filen2): stats = np.fromfile(dirn+filen2, sep=' ') - else : continue - if len(stats) == 0: continue - #print(dirn, stats) - if stats[1] > bestLL and stats[3] > 50: - bestDir, bestLL, bestStats = dirn, stats[1], stats - assert bestDir is not None, "token %s - %d not found" % (token, re) - #print(bestDir, bestStats) - return bestDir - -def findDirectory(runspath, re, token): - retoken = 'RE%03d' % re - alldirs = glob.glob(runspath + '/*') - for dirn in alldirs: - if retoken not in dirn: continue - if token not in dirn: continue - return dirn - assert False, 're-token combo not found' - -def main_integral(runspaths, target, REs, tokens, labels, nBins): - minNbins = min(nBins) - #plt.figure() - #REs = findAllParams(path) - nRes = len(REs) - axes, lines = [], [] - fig, axes = plt.subplots(1, nRes, sharey=True, figsize=[12, 3], frameon=False, squeeze=True) - #for j in range(nRes): - # axes += [ plt.subplot(1, nRes, j+1) ] - scores = len(tokens) * [0] - for j, RE in enumerate(REs): - eps, nu = epsNuFromRe(RE) - # read target file - logSpectra, logEnStdev, _, _ = readAllSpectra(target, [RE]) - logSpectra = logSpectra.reshape([logSpectra.size]) - logEnStdev = logEnStdev.reshape([logSpectra.size]) - minNbins = min(minNbins, logSpectra.size) - modes = np.arange(1, minNbins+1, dtype=np.float64) # assumes box is 2 pi - axes[j].plot(np.zeros(minNbins), modes, 'k-') - for i, token in enumerate(tokens): - runspath = runspaths[i] - dirn = findBestHyperParams(runspath, RE, tokens[i]) - #print(nBins[i]) - runData = getAllData(dirn, eps, nu, nBins[i], fSkip=1) - logE = np.log(runData['spectra']) - #print(logE.shape[0]) - avgLogSpec, stdLogSpec = np.mean(logE, axis=0), np.std(logE, axis=0) - assert(avgLogSpec.size == nBins[i]) - avgLogSpec = avgLogSpec[:minNbins] - stdLogSpec = stdLogSpec[:minNbins] - #print(avgLogSpec.shape, logSpectra.shape, logEnStdev.shape) - LL = (avgLogSpec - logSpectra) / logEnStdev - p = axes[j].plot(LL, modes, label=labels[i], color=colors[i]) # , label=labels[i] - LLTop = (avgLogSpec + stdLogSpec - logSpectra) / logEnStdev - LLBot = (avgLogSpec - stdLogSpec - logSpectra) / logEnStdev - axes[j].fill_betweenx(modes, LLBot, LLTop, facecolor=colors[i], alpha=.5) - scores[i] += np.sum(-LL**2) - if j == 0: lines += [p] - - axes[0].set_ylabel(r'$k \cdot L / 2 \pi$') - for j in range(nRes): - axes[j].set_title(r'$Re_\lambda$ = %d' % REs[j]) - axes[j].set_ylim([1, 15]) - axes[j].grid() - #axes[j].set_xlabel(r'$\frac{\log E^{LES}(k) - \mu[\log E^{DNS}(k)]}{\sigma[\log E^{DNS}(k)]}$') - axes[j].set_xlabel(r'$\frac{\log E_{LES} - \mu(\log E_{DNS})}{\sigma(\log E_{DNS})}$') - #print(scores) - axes[0].invert_yaxis() - #axes[1][0].invert_yaxis() - #for j in range(1,nRes): axes[j].set_yticklabels([]) - #axes[0].legend(lines, labels, bbox_to_anchor=(-0.1, 2.5), borderaxespad=0) - assert(len(lines) == len(labels)) - #axes[0].legend(lines, labels, bbox_to_anchor=(0.5, 0.5)) - #fig.subplots_adjust(right=0.17, wspace=0.2) - #axes[0][-1].legend(bbox_to_anchor=(0.25, 0.25), borderaxespad=0) - axes[-1].legend(bbox_to_anchor=(1, 0.5),fancybox=False, shadow=False) - #fig.legend(lines, labels, loc=7, borderaxespad=0) - fig.tight_layout() - #fig.subplots_adjust(right=0.75) - plt.show() - #axes[0].legend(loc='lower left') - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - ADD = parser.add_argument - ADD('tokens', nargs='+', help="Text token distinguishing each series of runs") - ADD('-t', '--target', help="Path to target files directory", - default='/users/novatig/smarties/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/') - ADD('--res', nargs='+', type=int, help="Reynolds numbers", - default = [60, 70, 111, 151, 176, 190, 205]) - ADD('--labels', nargs='+', help="Plot labels to assiciate to tokens") - ADD('-r', '--runspath', default=['./'], nargs='+', help="Plot labels to assiciate to tokens") - ADD('--gridSize', nargs='+', type=int, default=[32], help="Plot labels to assiciate to tokens") - - args = parser.parse_args() - if args.labels is None: args.labels = args.tokens - if len(args.runspath) == 1: args.runspath = args.runspath * len(args.tokens) - if len(args.gridSize) < len(args.labels): - assert(len(args.gridSize) == 1) - args.gridSize = args.gridSize * len(args.labels) - assert len(args.labels) == len(args.tokens) - for i in range(len(args.gridSize)): args.gridSize[i] = args.gridSize[i]//2 - 1 - - main_integral(args.runspath, args.target, args.res, args.tokens, args.labels, args.gridSize) - - diff --git a/apps/CUP3D_LES_HIT/runLesOptimization.py b/apps/CUP3D_LES_HIT/runLesOptimization.py deleted file mode 100755 index d2b6fcf3..00000000 --- a/apps/CUP3D_LES_HIT/runLesOptimization.py +++ /dev/null @@ -1,122 +0,0 @@ -#!/usr/bin/env python3 - -import re, argparse, numpy as np, glob, subprocess, os -import matplotlib.pyplot as plt -from scipy.optimize import curve_fit - -bDoRK23 = True -bDoUpWind = False -bDoUpWind = True - -runsname = "HITLES_GRID" -CSs = [0.2, 0.2075, 0.215, 0.22, 0.225, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23] -REs = [60, 65, 70, 76, 82, 88, 95, 103, 111, 120, 130, 140, 151, 163, 176, 190, 205] - -def epsNuFromRe(Re, uEta = 1.0): - C = 3.0 # np.sqrt(196.0/20.0) #2.87657077 - K = 2/3.0 * C * np.sqrt(15) - eps = np.power(uEta*uEta * Re / K, 3.0/2.0) - nu = np.power(uEta, 4) / eps - return eps, nu - -def runspec(re, cs, nblocks, run): - if bDoRK23 : tstep = "RK_" - else : tstep = "FE_" - if bDoUpWind : discr = "UW_" - else : discr = "CD_" - base = "HITLES00_" + tstep + discr + "CFL010_" - if cs < 0: - return base + "BPD%d_CS_DSM_RUN%d_RE%03d" % (nblocks, run, re) - else: - return base + "BPD%d_CS%.03f_RUN%d_RE%03d" % (nblocks, cs, run, re) - -def getSettings(nu, eps, cs, nblocks): - options = '-sgs SSM -cs %f -bpdx %d -bpdy %d -bpdz %d -CFL 0.1 ' \ - % (cs, nblocks, nblocks, nblocks) - if bDoRK23: options = options + '-RungeKutta23 1 ' - else: options = options + '-RungeKutta23 0 ' - if bDoUpWind: options = options + '-Advection3rdOrder 1 ' - else: options = options + '-Advection3rdOrder 0 ' - tAnalysis = np.sqrt(nu / eps) - tEnd = 1e4 * tAnalysis # abort in code after N t_integral - return options + '-extentx 6.283185307179586 -dump2D 0 -dump3D 1 ' \ - '-tdump %f -BC_x periodic -BC_y periodic -BC_z periodic ' \ - '-spectralIC fromFile -initCond HITurbulence -tAnalysis %f ' \ - '-compute-dissipation 1 -nprocsx 1 -nprocsy 1 -nprocsz 1 ' \ - '-spectralForcing 1 -tend %f -keepMomentumConstant 1 ' \ - '-analysis HIT -nu %f -energyInjectionRate %f ' \ - % (0*tAnalysis, tAnalysis, tEnd, nu, eps) - -def launchEuler(tpath, nu, eps, re, cs, nblocks, run): - scalname = "%s/scalars_RE%03d" % (tpath, re) - logEname = "%s/spectrumLogE_RE%03d" % (tpath, re) - iCovname = "%s/invCovLogE_RE%03d" % (tpath, re) - sdtDevname = "%s/stdevLogE_RE%03d" % (tpath, re) - settings = getSettings(nu, eps, cs, nblocks) - runname = runspec(re, cs, nblocks, run) - - cmd = "export LD_LIBRARY_PATH=/cluster/home/novatig/hdf5-1.10.1/gcc_6.3.0_openmpi_2.1/lib/:$LD_LIBRARY_PATH\n" \ - "FOLDER=/cluster/scratch/novatig/CubismUP3D/%s\n " \ - "mkdir -p ${FOLDER}\n" \ - "cp ~/CubismUP_3D/bin/simulation ${FOLDER}/\n" \ - "cp %s ${FOLDER}/scalars_target\n" \ - "cp %s ${FOLDER}/spectrumLogE_target\n" \ - "cp %s ${FOLDER}/invCovLogE_target\n" \ - "cp %s ${FOLDER}/stdevLogE_target\n" \ - "export OMP_NUM_THREADS=8\n" \ - "cd $FOLDER\n" \ - "bsub -n 8 -J %s -W 04:00 -R \"select[model==XeonGold_6150] span[ptile=8]\" mpirun -n 1 ./simulation %s\n" \ - % (runname, scalname, logEname, iCovname, sdtDevname, runname, settings) - subprocess.run(cmd, shell=True) - - -def launchDaint(tpath, nu, eps, re, cs, nblocks, run): - SCRATCH, HOME = os.getenv('SCRATCH'), os.getenv('HOME') - appdir = "%s/smarties/apps/CUP3D_LES_HIT" % HOME - scalname = "%s/%s/scalars_RE%03d" % (appdir, tpath, re) - logEname = "%s/%s/spectrumLogE_RE%03d" % (appdir, tpath, re) - iCovname = "%s/%s/invCovLogE_RE%03d" % (appdir, tpath, re) - sdtDevname = "%s/%s/stdevLogE_RE%03d" % (appdir, tpath, re) - settings = getSettings(nu, eps, cs, nblocks) - runname = runspec(re, cs, nblocks, run) - - f = open('HIT_sbatch','w') - f.write('#!/bin/bash -l \n') - f.write('#SBATCH --job-name=LES_HIT \n') - f.write('#SBATCH --time=01:00:00 \n') - #f.write('#SBATCH --time=00:30:00 \n') - f.write('#SBATCH --output=out.%j.%a.txt \n') - f.write('#SBATCH --error=err.%j.%a.txt \n') - f.write('#SBATCH --constraint=gpu \n') - f.write('#SBATCH --account=s929 \n') - - f.write('mkdir -p %s/CubismUP3D/%s \n' % (SCRATCH, runname) ) - f.write('cd %s/CubismUP3D/%s \n' % (SCRATCH, runname) ) - f.write('cp %s/CubismUP_3D/bin/simulation ./exec \n' % HOME) - f.write('cp %s ./scalars_target \n' % scalname) - f.write('cp %s ./spectrumLogE_target \n' % logEname) - f.write('cp %s ./invCovLogE_target \n' % iCovname) - f.write('cp %s ./stdevLogE_target \n' % sdtDevname) - f.write('export OMP_NUM_THREADS=12 \n') - f.write('export CRAY_CUDA_MPS=1 \n') - f.write('export MPICH_MAX_THREAD_SAFETY=multiple \n') - f.write('srun --ntasks 1 --ntasks-per-node=1 ./exec %s\n' % settings) - f.close() - os.system('sbatch HIT_sbatch') - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description = "Compute a target file for RL agent from DNS data.") - - parser.add_argument('--path', default='target_RK_2blocks', help="Simulation case.") - parser.add_argument('--nBlocks', type=int, default=2, - help="Number of CubismUP 3D blocks in the training runs.") - args = parser.parse_args() - - for ri in [4]: - #CSs = [-0.1] * len(REs) - for re, cs in zip(REs, CSs): - eps, nu = epsNuFromRe(re) - launchDaint(args.path, nu, eps, re, cs, args.nBlocks, ri) - #launchEuler(args.path, nu, eps, re, cs, args.nBlocks, ri) - diff --git a/apps/CUP3D_LES_HIT/sbatch_sf_compute.sh b/apps/CUP3D_LES_HIT/sbatch_sf_compute.sh deleted file mode 100644 index 5af29366..00000000 --- a/apps/CUP3D_LES_HIT/sbatch_sf_compute.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash -l -#SBATCH --job-name="dns" -#SBATCH --time=24:00:00 -#SBATCH --array=0-16 -#SBATCH --nodes=1 -#SBATCH --ntasks-per-node=1 -#SBATCH --partition=normal -#SBATCH --constraint=gpu -#SBATCH --account=s929 - -BASE=/scratch/snx3000/novatig/CubismUP3D/ -res=(60 65 70 76 82 88 95 103 111 120 130 140 151 163 176 190 205) -RE=${res[$SLURM_ARRAY_TASK_ID]} -srun ./sf_compute.py --simList ${BASE}/HITDNS03RK_UW_CFL010_BPD32_EXT2pi --Re $RE --recompute - diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_16bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_16bsize.json deleted file mode 100755 index 7bdec55f..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_16bsize.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.1, - "gamma": 0.995, - "learnrate": 0.000003, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [64, 64], - "obsPerStep": 8, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_4bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_4bsize.json deleted file mode 100755 index d5724496..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_4bsize.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.1, - "gamma": 0.995, - "learnrate": 0.000003, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [64, 64], - "obsPerStep": 512, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_8bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_8bsize.json deleted file mode 100755 index db6e43f8..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNNGRID_8bsize.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.1, - "gamma": 0.995, - "learnrate": 0.000003, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [64, 64], - "obsPerStep": 64, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_16bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_16bsize.json deleted file mode 100755 index 43bdb208..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_16bsize.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1000000, - "maxTotObsNum": 1000000, - "nnLayerSizes": [64, 64], - "obsPerStep": 8, - "epsAnneal": 2e-7, - "nnFunc": "Tanh", - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_4bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_4bsize.json deleted file mode 100755 index 18c76c0d..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_4bsize.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1000000, - "maxTotObsNum": 1000000, - "nnLayerSizes": [64, 64], - "obsPerStep": 512, - "epsAnneal": 2e-7, - "nnFunc": "Tanh", - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_8bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_8bsize.json deleted file mode 100755 index d3d70f23..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_FFNN_8bsize.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 512, - "clipImpWeight": 0.5, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1000000, - "maxTotObsNum": 1000000, - "nnLayerSizes": [64, 64], - "obsPerStep": 64, - "epsAnneal": 2e-7, - "nnFunc": "Tanh", - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_16bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_16bsize.json deleted file mode 100755 index b866d44c..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_16bsize.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 256, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [32, 32], - "obsPerStep": 8, - "nnType": "GRU", - "nnBPTTseq": 8, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_4bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_4bsize.json deleted file mode 100755 index 0e41bb26..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_4bsize.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 256, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [32, 32], - "obsPerStep": 512, - "nnType": "GRU", - "nnBPTTseq": 8, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} \ No newline at end of file diff --git a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_8bsize.json b/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_8bsize.json deleted file mode 100755 index 35ead180..00000000 --- a/apps/CUP3D_LES_HIT/settings/VRACER_LES_GRU_8bsize.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "learner": "VRACER", - "batchSize": 256, - "clipImpWeight": 0.5, - "epsAnneal": 1e-7, - "penalTol": 0.05, - "explNoise": 0.2, - "gamma": 0.995, - "learnrate": 0.00001, - "minTotObsNum": 1048576, - "maxTotObsNum": 1048576, - "nnLayerSizes": [32, 32], - "obsPerStep": 64, - "nnType": "GRU", - "nnBPTTseq": 8, - "ERoldSeqFilter": "oldest", - "outWeightsPrefac": 0.00001 -} \ No newline at end of file diff --git a/apps/CUP3D_LES_HIT/setup.sh b/apps/CUP3D_LES_HIT/setup.sh deleted file mode 100755 index b0f72520..00000000 --- a/apps/CUP3D_LES_HIT/setup.sh +++ /dev/null @@ -1,77 +0,0 @@ -#!/bin/bash -LES_RL_NETTYPE=${LES_RL_NETTYPE:-FFNN} -LES_RL_FREQ_A=${LES_RL_FREQ_A:-8} -LES_RL_N_TSIM=${LES_RL_N_TSIM:-20} -LES_RL_NBLOCK=${LES_RL_NBLOCK:-4} -LES_RL_GRIDACT=${LES_RL_GRIDACT:-0} -LES_RL_GRIDACTSETTINGS=${LES_RL_GRIDACTSETTINGS:-${LES_RL_GRIDACT}} - -LES_RL_EVALUATE=${LES_RL_EVALUATE:-0} -if [ ${LES_RL_EVALUATE} == 0 ] ; then -LES_RL_EVALUATE="RE065,RE076,RE088,RE103,RE120,RE140,RE163" -#LES_RL_EVALUATE="RE111" -#LES_RL_EVALUATE="RE060,RE065,RE070,RE076,RE082,RE088,RE095,RE103,RE111,RE120,RE130,RE140,RE151,RE163,RE176,RE190,RE205" -fi - -# compile executable: -COMPILEDIR=${SMARTIES_ROOT}/../CubismUP_3D/makefiles -#SKIPMAKE=true -if [ ! -z "$LES_RL_BLOCKSIZE" ] ; then -blocksize=$LES_RL_BLOCKSIZE -echo "using blocksize" $blocksize -elif [ ${LES_RL_NBLOCK} == 8 ] ; then -blocksize=4 -elif [ ${LES_RL_NBLOCK} == 4 ] ; then -blocksize=8 -elif [ ${LES_RL_NBLOCK} == 2 ] ; then -blocksize=16 -else -echo "ERROR " -exit 1 -fi -echo "using blocksize" $blocksize -if [[ "${SKIPMAKE}" != "true" ]] ; then -make -C ${COMPILEDIR} clean -make -C ${COMPILEDIR} bs=${blocksize} accfft=false -j rlHIT -fi - -# copy executable: -cp ${COMPILEDIR}/rlHIT ${RUNDIR}/exec - -# write simulation settings files: -# NOTE: -nu and -energyInjectionRate (=eps) make no difference -# our main file samples a random Re and computes the appropriate nu and eps -# -cs, not used by RL, but nonzero to avoid warnings -# -tend, not used by RL, but chosen to be >> than timeout given by RL -cat <${RUNDIR}/runArguments00.sh -./simulation -bpdx $LES_RL_NBLOCK -bpdy $LES_RL_NBLOCK -bpdz $LES_RL_NBLOCK \ --extentx 6.2831853072 -tend 50000 -dump2D 1 -dump3D 1 -tdump 0 -CFL 0.1 \ --BC_x periodic -BC_y periodic -BC_z periodic -initCond HITurbulence \ --spectralIC fromFit -sgs RLSM -cs 0.5 -spectralForcing 1 \ --RungeKutta23 1 -Advection3rdOder 0 -keepMomentumConstant 1 \ --nprocsx 1 -nprocsy 1 -nprocsz 1 \ --analysis HIT -tAnalysis 100 -nu 0.005 -energyInjectionRate 0.2 \ --RL_freqActions ${LES_RL_FREQ_A} -RL_nIntTperSim ${LES_RL_N_TSIM} \ --RL_gridPointAgents ${LES_RL_GRIDACT} -initCondFileTokens ${LES_RL_EVALUATE} -EOF - -#copy target files -THISDIR=${SMARTIES_ROOT}/apps/CUP3D_LES_HIT -#cp ${THISDIR}/target_RK_${LES_RL_NBLOCK}blocks/* ${RUNDIR}/ -cp ${THISDIR}/target_RKBPD32_2blocks/* ${RUNDIR}/ -#cp ${THISDIR}/target_RK_2blocks/* ${RUNDIR}/ -#cp ${THISDIR}/target_RKBPD64_LESBPD2/* ${RUNDIR}/ - -#copy settings file -# 1) either FFNN or RNN -# 2) number of actions per grad steps affected by number of agents per sim -if [ ${LES_RL_GRIDACTSETTINGS} == 0 ] ; then -SETTINGSF=VRACER_LES_${LES_RL_NETTYPE}_${blocksize}bsize.json -cp ${THISDIR}/settings/${SETTINGSF} ${RUNDIR}/settings.json -else -SETTINGSF=VRACER_LES_${LES_RL_NETTYPE}GRID_${blocksize}bsize.json -cp ${THISDIR}/settings/${SETTINGSF} ${RUNDIR}/settings.json -fi - -export MPI_RANKS_PER_ENV=1 -export EXTRA_LINE_ARGS=" --appSettings runArguments00.sh --nStepPappSett 0 " diff --git a/apps/CUP3D_LES_HIT/smarties_plot_SGSact_obs1row.py b/apps/CUP3D_LES_HIT/smarties_plot_SGSact_obs1row.py deleted file mode 100755 index 498dba1d..00000000 --- a/apps/CUP3D_LES_HIT/smarties_plot_SGSact_obs1row.py +++ /dev/null @@ -1,151 +0,0 @@ -#!/usr/bin/env python3 -# -# smarties -# Copyright (c) 2018 CSE-Lab, ETH Zurich, Switzerland. -# Distributed under the terms of the MIT license. -# -# Created by Guido Novati (novatig@ethz.ch). -# -# SIMPLE PYTHON SCRIPT TO PLOT .raw AGENT OBS FILES -# -# usage: -# python smarties_plot_obs.py /path/to/folder ($2) ($3) ($4) -# optional args: -# ($2) Fraction of sequences not plotted (to lighten script and plot) -# ie. If $2=10 we plot all observed states for one sequence every 10 sequences. -# ($3) Agent id. Useful when running multiple agents. -# ($4) Master id. Useful when there are multiple master ranks. -# -''' -smarties_plot_SGSact_obs.py -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN16_032PD_RE065 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN16_032PD_RE088 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN16_032PD_RE120 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN16_032PD_RE163 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN17_032PD_RE065 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN17_032PD_RE088 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN17_032PD_RE120 -BlockAgents_ALLINP_FFNN_${NB}blocks_act${AF}_sim16_RUN17_032PD_RE163 --plotCol 34 --nSkipPlot 10 --nSkipInitT 0 --xAxisVar 4 9 15 33 16 17 -''' - -import argparse, sys, time, numpy as np, os, matplotlib.pyplot as plt - -colors = ['#1f78b4', '#33a02c', '#ff7f00', '#e31a1c', '#a6cee3', '#b2df8a', '#fdbf6f', '#fb9a99'] -initialized = False - -def nameAxis(colID, NS, NA, IREW, NCOL): - assert(colID < NCOL) - if colID<=0: return 'time steps' - if colID==1: return 'agent status' #0 for init, 2 term, 3 trunc, 2 intermediate - if colID==2: return 'time in episode' - if colID<3+NS: return 'state component %d' % (colID-3) - if colID=2.0).flatten() - initials = np.argwhere(DATA[:,1]< 1.0).flatten() - print('Number of finished episodes %d, number of begun episodes %d' \ - % (len(terminals), len(initials))) - print("Plot column %d out of %d. Log contains %d time steps from %d episodes." \ - % (ICOL, NCOL, NROW, len(terminals) ) ) - - # do not plot actions and policy values for terminal states: - xAndyNotPol = ( xAxisVar < 3+NS or xAxisVar == IREW) and \ - ( ICOL <= 3+NS or ICOL == IREW ) - - for ind in range(0, len(terminals), parsed.nSkipPlot): - init, term = initials[ind], terminals[ind] - if parsed.nSkipInitT>0 and init0 and term>parsed.nLastPlotT: break - span = range(init, term + xAndyNotPol, 10) - - print("Plotting episode starting from step %d to step %d." % (init,term) ) - if xAxisVar >= 0: - ax.plot(DATA[span, xAxisVar], DATA[span, ICOL], '.', color=color, ms=1) - else: - ax.plot(span, DATA[span, ICOL], '-', color=color) - -if __name__ == '__main__': - parser = argparse.ArgumentParser(description = "Smarties state/action tuples plotting tool.") - parser.add_argument('folders', nargs='+', - help="Directories containing the observations file to plot.") - parser.add_argument('--plotCol', type=int, default=31, - help="Variable to plot. If unset it will be asked interactively.") - parser.add_argument('--nSkipPlot', type=int, default=10, - help="Determines how many episode's trajectories are skipped for one that is visualized in the figure.") - parser.add_argument('--nSkipInitT', type=int, default=0, - help="Allows skipping the first #arg time steps from the figure.") - parser.add_argument('--nLastPlotT', type=int, default=-1, - help="Allows plotting only the first #arg time steps contained in the file.") - parser.add_argument('--workerRank', type=int, default=0, - help="Will plot the trajectories obtained by this MPI rank. " - "Defaults to 0 in most cases, when the main learner rank obtains all data. " - "If run had MPI ranks collecting episodes it will default to 1.") - parser.add_argument('--agentID', type=int, default=0, - help="Whose agent's trajectories will be plotted. Defaults to 0 and only affects multi-agent environments.") - parser.add_argument('--xAxisVar', type=int, default=[-1], nargs='+', - help="Allows plotting variables on the x-axis other than the time step counter.") - parsed = parser.parse_args() - - sizes = np.fromfile(parsed.folders[0]+'/problem_size.log', sep=' ') - NS, NA, NP = int(sizes[0]), int(sizes[1]), int(sizes[2]) - NL, IREW, NCOL = (NA*NA+NA)//2, 3+NS+NA, 4+NS+NA+NP - - parsed.xAxisVar = [3, 8, 17, 30, 14, 15] - nFigs = len(parsed.xAxisVar) - fig, axes = plt.subplots(1, nFigs, sharey=True, figsize=[12, 3], frameon=False, squeeze=True) - - if parsed.plotCol < 0: - print('States begin at col 3, actions at col ' + str(3+NS) + \ - ', rewards is col ' + str(IREW) + ', policy at col ' + \ - str(1+IREW) + ' last at ' + str(NCOL-1) + '.') - ICOL = int( input("Column to print? ") ) - else: ICOL = parsed.plotCol - - for ix in range(len(parsed.xAxisVar)): - xAxisVar = parsed.xAxisVar[ix] - - colorid = 0 - for dirn in parsed.folders: - color, colorid = colors[colorid], colorid + 1 - plotFile(axes[ix], xAxisVar, parsed, dirn, ICOL, NCOL, NS, NA, IREW, color) - - #axes[ix].set_xlabel(nameAxis(xAxisVar, NS, NA, IREW, NCOL)) - - axes[0].set_xlabel(r'$\lambda_1^{\nabla u} \, \cdot \, K / \epsilon$') - axes[1].set_xlabel(r'$\lambda_1^{\Delta u} \, \cdot \, \eta \cdot K / \epsilon$') - axes[2].set_xlabel(r'$E(k = 4 \pi / L) \, / \, u_\eta^2$') - axes[3].set_xlabel(r'$E(k = 30 \pi / L) \, / \, u_\eta^2$') - axes[4].set_xlabel(r'$\epsilon_{visc} \, / \, \epsilon$') - axes[5].set_xlabel(r'$\epsilon_{tot} \, / \, \epsilon$') - axes[0].set_ylabel(r'$C_s^2$') - - #axes[0].set_ylabel(nameAxis(ICOL, NS, NA, IREW, NCOL)) - axes[0].set_yscale("log") - axes[0].set_ylim([0.018, 0.058]) - - #axes[0].set_xlim([1, 38]) - axes[0].set_xlim([0.1, 7.5]) - axes[1].set_xlim([-6.5, 6.5]) - axes[2].set_xlim([4.5, 25]) - axes[3].set_xlim([0.005, 1]) - axes[4].set_xlim([0.1, 0.60]) - axes[5].set_xlim([0.75, 1.25]) - - #plt.legend() - fig.tight_layout() - #plt.savefig('prova.png', dpi=100) - plt.show() diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE060 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE060 deleted file mode 100644 index 932c295d..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE060 +++ /dev/null @@ -1,15 +0,0 @@ -3.820292979338368866e+01, 3.986049010518073743e+01, 1.421382921099935359e+01, 6.964357344786543891e+00, -1.931229476009230561e+00, 3.838545283765600225e+00, -1.637334958342768543e+00, 8.396685375302482157e+00, -3.020581967181072525e+00, -2.716469082074326913e+00, 8.234798859065691090e+00, 3.413566413579607772e+00, 1.056315102783520743e+01, -5.857494485020033892e+00, 1.332433619500639210e+00 -3.986049010518073032e+01, 7.590979232885369754e+01, 1.018850251976768284e+01, 8.669155632812811874e+00, -3.555153925643717461e+00, 1.065743580584754291e+01, 8.863573964360024204e-01, 3.848480584682051120e+00, -9.296542206524746277e+00, 3.598083379439730667e+00, 1.428347850599742763e+01, 4.267965560700185179e+00, 1.603828870130528728e+01, -1.237333534445471805e+01, -4.078604085491043918e+00 -1.421382921099935892e+01, 1.018850251976768639e+01, 7.406140365001701298e+01, -1.640053324854175099e+00, -5.682969478969198462e+00, -9.715527107130487394e+00, 7.095789730437048526e+00, 6.834446392119721381e+00, 8.638064382968694943e+00, 8.923793070831104401e+00, 7.709241861011959962e+00, -5.111789022133221394e+00, 1.446797287155380651e+01, -1.474701033384383564e+01, -1.853364307676887890e+01 -6.964357344786545667e+00, 8.669155632812808321e+00, -1.640053324854172434e+00, 9.515716852638115597e+01, -3.519519285735618297e+01, -9.079205759444290535e+00, -7.386515062894134509e+00, -5.079851451477635393e+00, -1.386788658752779457e-01, 7.464428358622519077e+00, 3.804401955970570182e+00, 1.069967288159602425e+01, -6.861184353160189708e+00, -5.546566187232235379e+00, -3.864704924885439485e+00 --1.931229476009232116e+00, -3.555153925643720569e+00, -5.682969478969199351e+00, -3.519519285735615455e+01, 1.672805877579114338e+02, -5.759355745053124309e+01, -2.709613203939976245e+01, 7.942163323711446843e+00, -1.141859743120995851e+01, -6.594748221512407582e-01, 1.167446072044486982e+01, 9.129888030001122701e+00, -9.936576431569495327e+00, 1.051932973981464770e+01, -3.699314513287563955e+01 -3.838545283765606442e+00, 1.065743580584756067e+01, -9.715527107130483842e+00, -9.079205759444276325e+00, -5.759355745053122178e+01, 3.007002603990083571e+02, -1.015499974791488285e+02, -7.227146026817415247e+01, -6.003613649929888219e+00, -2.225453146327214782e+01, 4.239407313739443905e-01, 1.149999140141099474e+01, -5.462330004494081237e+00, 3.702833111950244671e+00, -1.145366619869250790e+01 --1.637334958342768987e+00, 8.863573964360275115e-01, 7.095789730437076059e+00, -7.386515062894121186e+00, -2.709613203939981219e+01, -1.015499974791488427e+02, 4.085934282075372721e+02, -1.176216477915538832e+02, -9.896721765824351280e+01, -1.403861321709292831e+01, -1.609576164355762273e+01, -1.999009054114725004e+01, -2.137335800850908996e+01, 2.511676149343579212e+01, 1.182093475581238806e+01 -8.396685375302478604e+00, 3.848480584682028915e+00, 6.834446392119726710e+00, -5.079851451477715329e+00, 7.942163323711514344e+00, -7.227146026817430879e+01, -1.176216477915536842e+02, 5.393284318466642162e+02, -1.527936638105320526e+02, -1.330996629198321273e+02, -6.164568640564473156e+01, 7.387597010556528510e+00, 1.011012287645670149e+01, 5.274043084819695970e+00, -1.548328622516227071e+01 --3.020581967181044547e+00, -9.296542206524756935e+00, 8.638064382968604349e+00, -1.386788658753506376e-01, -1.141859743120978621e+01, -6.003613649929850915e+00, -9.896721765824358386e+01, -1.527936638105317684e+02, 7.784532917179487868e+02, -2.382255664095727639e+02, -1.417813142321052737e+02, -9.159018432338282878e+01, 1.011263335907018224e+01, -4.773955356451607202e+01, 1.820958162732162222e+01 --2.716469082074383312e+00, 3.598083379439720009e+00, 8.923793070831143481e+00, 7.464428358622582138e+00, -6.594748221509966202e-01, -2.225453146327205189e+01, -1.403861321709304377e+01, -1.330996629198331505e+02, -2.382255664095735028e+02, 1.106330777901700685e+03, -3.059984965106345385e+02, -2.248344435765955893e+02, -8.867603230306848161e+01, -3.169020760734500897e+00, -4.277381012679552441e+01 -8.234798859065740828e+00, 1.428347850599749513e+01, 7.709241861011974173e+00, 3.804401955970647009e+00, 1.167446072044451633e+01, 4.239407313743338568e-01, -1.609576164355802774e+01, -6.164568640564434077e+01, -1.417813142321029147e+02, -3.059984965106380059e+02, 1.189506027054987499e+03, -2.622875035901302567e+02, -2.089959199728507429e+02, -1.120805140853844364e+02, -6.777036548522902137e+01 -3.413566413579536274e+00, 4.267965560700073269e+00, -5.111789022133270244e+00, 1.069967288159596208e+01, 9.129888030000982369e+00, 1.149999140141052401e+01, -1.999009054114613448e+01, 7.387597010556983257e+00, -9.159018432338268667e+01, -2.248344435765987441e+02, -2.622875035901304273e+02, 1.444162308771039534e+03, -4.221207268103037222e+02, -3.017799968486974080e+02, -1.358410170012836602e+02 -1.056315102783525539e+01, 1.603828870130521977e+01, 1.446797287155382428e+01, -6.861184353160080462e+00, -9.936576431569484669e+00, -5.462330004494233116e+00, -2.137335800851120027e+01, 1.011012287645722196e+01, 1.011263335907261940e+01, -8.867603230306619366e+01, -2.089959199728535566e+02, -4.221207268103038928e+02, 1.729833299527650070e+03, -5.103328026009994574e+02, -4.697500911238208232e+02 --5.857494485019945074e+00, -1.237333534445438055e+01, -1.474701033384361892e+01, -5.546566187232167877e+00, 1.051932973981456776e+01, 3.702833111949690448e+00, 2.511676149343781717e+01, 5.274043084820161376e+00, -4.773955356451893550e+01, -3.169020760738415099e+00, -1.120805140853771462e+02, -3.017799968486950775e+02, -5.103328026009960467e+02, 1.904798044609661929e+03, -9.747937331701785979e+02 -1.332433619500513533e+00, -4.078604085491279285e+00, -1.853364307676906364e+01, -3.864704924885620674e+00, -3.699314513287551165e+01, -1.145366619869167479e+01, 1.182093475581160824e+01, -1.548328622516327080e+01, 1.820958162732068431e+01, -4.277381012678933558e+01, -6.777036548523403781e+01, -1.358410170012874971e+02, -4.697500911238240064e+02, -9.747937331701712083e+02, 1.629491314495184270e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE065 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE065 deleted file mode 100644 index d1f52525..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE065 +++ /dev/null @@ -1,15 +0,0 @@ -3.032798897160203921e+01, 2.844064871576669873e+01, 1.144300968560681930e+01, 4.639888121148239009e+00, 7.990098234856230164e+00, 4.708687203060916149e-01, 4.277736553584352563e+00, -2.149995648336547216e+00, -4.731604573958634319e+00, 1.258371010444298754e+01, -4.964258014951370979e-01, 1.048595464012648826e+01, 5.114397025207389369e+00, -5.576178498908149095e+00, -7.910029910703391565e+00 -2.844064871576669873e+01, 5.716063298238412216e+01, 8.665312015673055868e+00, 2.690813447290822502e+00, 9.929144804302136862e+00, 6.009280342273867426e+00, -6.979503168176445449e+00, 5.010089047233727833e+00, -2.631969176672327659e+00, 1.815315604315895470e+01, -6.004777262969027696e+00, -2.890415678184202086e+00, 8.092355924171025450e+00, -4.916986213878900891e+00, 1.784875107206784550e+00 -1.144300968560682286e+01, 8.665312015673057644e+00, 6.073126048608084204e+01, -1.456211896032709951e+01, -7.197701741606726600e+00, 2.560524924911674827e+00, 3.247252208426681941e-01, -8.190737494049114886e+00, -3.608279887326346191e+00, 1.688830659790179922e+01, 4.774786889096333198e+00, 1.582577487752002554e+01, 1.661261578896712665e+00, -1.157555911694416473e+01, -9.674463865349252956e+00 -4.639888121148237232e+00, 2.690813447290827831e+00, -1.456211896032710662e+01, 9.620999058982316399e+01, -3.053191963978717993e+01, -6.612553433864709618e+00, 1.779466714810593819e+00, 3.322118209495923846e+00, 6.697286712141138132e+00, -8.356380781203979424e+00, 1.435930884587873102e+01, 7.563065209277706202e+00, -1.596830108011000426e+01, -1.474520491439650982e+01, -3.784721818635808255e+00 -7.990098234856235493e+00, 9.929144804302133309e+00, -7.197701741606724823e+00, -3.053191963978719414e+01, 1.939336697659207687e+02, -7.142228376862057360e+01, -2.496220493634345416e+01, -2.694970074249781189e-01, -3.021264019042114057e+01, 2.046484848595925499e+01, -1.219198877111048018e+00, 4.282698497270215121e+00, -6.922881958623094967e+00, -2.224340313753175646e+00, -2.569577853564575687e+00 -4.708687203060921145e-01, 6.009280342273866538e+00, 2.560524924911669942e+00, -6.612553433864666985e+00, -7.142228376862057360e+01, 3.276179444832663421e+02, -7.787757090233824897e+01, -7.474328074147790346e+01, -9.000211065368214136e+00, 3.351269550451094315e+00, -1.665439643375173517e+01, -3.337561031128591083e+01, -1.165398696028250303e+00, -7.636969328249996192e-01, 8.354179442553178347e+00 -4.277736553584357893e+00, -6.979503168176412586e+00, 3.247252208426778530e-01, 1.779466714810581385e+00, -2.496220493634353588e+01, -7.787757090233809265e+01, 3.942167800869580674e+02, -1.101274432329945512e+02, -6.207796150485064857e+01, -6.342081895676279402e+01, -1.140783123606813554e+01, 1.544211427656868629e+01, -2.017443873296632972e+01, 4.400722094898521952e+00, -1.025379803845600080e+01 --2.149995648336569420e+00, 5.010089047233724280e+00, -8.190737494049136203e+00, 3.322118209495925623e+00, -2.694970074249788405e-01, -7.474328074147787504e+01, -1.101274432329944233e+02, 5.512724309345009033e+02, -1.592497174781132401e+02, -1.188981780250690861e+02, -6.379759702688120626e+01, -2.401177399854289973e+01, 8.765825492460466606e+00, 1.255585606202962090e+01, -5.475763929656482176e+00 --4.731604573958590798e+00, -2.631969176672300126e+00, -3.608279887326312885e+00, 6.697286712141177212e+00, -3.021264019042108018e+01, -9.000211065368091568e+00, -6.207796150485062725e+01, -1.592497174781135243e+02, 7.696876794692198018e+02, -2.562131902585502985e+02, -1.064217132211471721e+02, -3.973998820228808881e+01, -5.363717459036323021e+01, -9.621574150562718364e-01, -3.458197581237302387e+01 -1.258371010444302307e+01, 1.815315604315894049e+01, 1.688830659790184541e+01, -8.356380781203986530e+00, 2.046484848595915196e+01, 3.351269550450818535e+00, -6.342081895676300007e+01, -1.188981780250693419e+02, -2.562131902585501848e+02, 1.088979848681499789e+03, -2.356712977681306711e+02, -1.879704731150992814e+02, -1.116734638649019615e+02, -9.243035725321206542e+01, -1.519724827728118566e+00 --4.964258014950948539e-01, -6.004777262968888252e+00, 4.774786889096317211e+00, 1.435930884587878431e+01, -1.219198877110852841e+00, -1.665439643375213663e+01, -1.140783123606800764e+01, -6.379759702688116363e+01, -1.064217132211485080e+02, -2.356712977681282553e+02, 1.115655590806406281e+03, -3.294240405084655094e+02, -2.333089260469628243e+02, -9.747013218170404514e+01, -2.124499016520145034e+01 -1.048595464012637812e+01, -2.890415678184373061e+00, 1.582577487751995626e+01, 7.563065209277649359e+00, 4.282698497269994853e+00, -3.337561031128579003e+01, 1.544211427656928493e+01, -2.401177399854203287e+01, -3.973998820228829487e+01, -1.879704731151026920e+02, -3.294240405084634631e+02, 1.374575198955103133e+03, -3.040878353700943535e+02, -2.936241319795683467e+02, -1.514661247055088040e+02 -5.114397025207397363e+00, 8.092355924171023673e+00, 1.661261578896686242e+00, -1.596830108011010729e+01, -6.922881958622946641e+00, -1.165398696028013159e+00, -2.017443873296777213e+01, 8.765825492463692470e+00, -5.363717459036469393e+01, -1.116734638649044058e+02, -2.333089260469628812e+02, -3.040878353700932735e+02, 1.750344509791277915e+03, -4.646146134337527087e+02, -5.527625839550548790e+02 --5.576178498908124226e+00, -4.916986213878849377e+00, -1.157555911694409545e+01, -1.474520491439632330e+01, -2.224340313753577103e+00, -7.636969328234681775e-01, 4.400722094899397696e+00, 1.255585606202789961e+01, -9.621574150575920026e-01, -9.243035725320815743e+01, -9.747013218170164350e+01, -2.936241319795712457e+02, -4.646146134337547551e+02, 1.817947769457128743e+03, -9.009833206735498834e+02 --7.910029910703402223e+00, 1.784875107206772560e+00, -9.674463865349254732e+00, -3.784721818635920609e+00, -2.569577853564539716e+00, 8.354179442552013057e+00, -1.025379803845610560e+01, -5.475763929657982310e+00, -3.458197581236925799e+01, -1.519724827729165506e+00, -2.124499016520503858e+01, -1.514661247055071556e+02, -5.527625839550531737e+02, -9.009833206735499971e+02, 1.581068854816900057e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE070 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE070 deleted file mode 100644 index b082bf69..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE070 +++ /dev/null @@ -1,15 +0,0 @@ -2.614373206834440566e+01, 2.564985376259756578e+01, 1.537068185699154554e+01, 3.691849186265818261e+00, 5.644521789287690439e+00, -5.932531699106341705e+00, 5.863142441619556777e+00, -3.302512036647665017e+00, 5.168674553404223104e+00, 8.229199879824188102e+00, -1.164185386412321943e+00, -8.065870900158808032e-01, 6.851453267026809922e-03, 4.712387158045735269e+00, -1.328108536494539971e+00 -2.564985376259756222e+01, 6.097751221015125367e+01, 8.723774805860887938e+00, 3.792005697657992336e+00, 1.192647606678294947e+00, -2.910821560654917484e+00, 1.567803372735548173e+01, -2.335684677479933580e+00, 4.012162009452532985e+00, 6.952720289017157995e+00, 2.423276150432505993e+00, -3.988384172998878263e+00, -4.637330239619524619e+00, -6.936707467541188832e-01, 3.334842210087933356e+00 -1.537068185699154377e+01, 8.723774805860891490e+00, 6.351685676964046223e+01, -9.525610524219622732e+00, 2.541368398937278617e+00, -1.066996681584741147e+01, 7.383725186168014210e-01, 1.242056711934787838e+00, -2.729115366594259129e+00, 4.814107912257449051e+00, 4.748676498923370737e+00, -3.558406727815517367e-01, 3.849753265988842710e+00, 2.457445602814803731e+00, -6.655619329794351557e+00 -3.691849186265821814e+00, 3.792005697657995889e+00, -9.525610524219624509e+00, 9.965519767610319946e+01, -3.929779601308769799e+01, -2.039750976815491867e+01, 2.990546234354837463e+00, 5.085533309784254996e+00, 2.151963155644963877e+00, 6.825867158198207996e+00, -4.082159751329552222e+00, 2.586649841974880903e+00, -2.216974723413955850e+00, -5.281962559549166158e+00, -4.639259665872005556e+00 -5.644521789287692215e+00, 1.192647606678299388e+00, 2.541368398937279949e+00, -3.929779601308773351e+01, 1.837249225692541472e+02, -5.985853815254936450e+01, -3.914584333679356121e+01, -7.614356919659751810e+00, -1.502180433800276127e+01, 2.269563988966719492e+01, 2.293891721372532277e+00, -2.002389748934974634e+01, 1.563043007188171352e+01, 7.481676201625641731e+00, -1.262577558403773992e+01 --5.932531699106345258e+00, -2.910821560654936135e+00, -1.066996681584741324e+01, -2.039750976815489025e+01, -5.985853815254941424e+01, 3.182026218278771239e+02, -8.315270110606007847e+01, -7.498083647660889994e+01, -2.112085626317140452e+01, -9.054969149304578080e-01, -2.481384266904863622e+01, -1.695580279726993655e+00, -2.901551555670360116e+01, -1.103224154920840050e+01, 4.141939313498065900e+01 -5.863142441619560330e+00, 1.567803372735549061e+01, 7.383725186168021981e-01, 2.990546234354854338e+00, -3.914584333679366068e+01, -8.315270110605993636e+01, 3.987536998050893544e+02, -1.082749079228580911e+02, -4.893879792910458093e+01, -5.506091554714556224e+01, 8.445491091062862665e+00, 2.279938498060019469e+00, -1.115478627339019724e+01, -2.499518767949820752e+00, -2.226675590846978992e+01 --3.302512036647654803e+00, -2.335684677479917148e+00, 1.242056711934785174e+00, 5.085533309784258549e+00, -7.614356919659665657e+00, -7.498083647660895679e+01, -1.082749079228577500e+02, 5.988527856824561013e+02, -1.752026892849862634e+02, -1.060317477758869416e+02, -8.660655555798783212e+00, -5.373551748730056943e+01, -3.882066642461347072e+01, 2.837899413970226448e+01, -2.135777396927299776e+01 -5.168674553404208005e+00, 4.012162009452492129e+00, -2.729115366594270675e+00, 2.151963155644900372e+00, -1.502180433800281811e+01, -2.112085626317135478e+01, -4.893879792910460225e+01, -1.752026892849860360e+02, 7.836415119682018258e+02, -2.297664971284973490e+02, -1.502150063482135067e+02, -5.372212933994386930e+01, -4.920918693279129030e+01, -1.037194027344220082e+01, -9.132829561218455794e+00 -8.229199879824211195e+00, 6.952720289017170430e+00, 4.814107912257428623e+00, 6.825867158198206219e+00, 2.269563988966717005e+01, -9.054969149299870734e-01, -5.506091554714623015e+01, -1.060317477758870695e+02, -2.297664971284965532e+02, 1.064927595189297790e+03, -2.738308910874026196e+02, -1.244268398462905623e+02, -8.661751261771433974e+01, -7.761188334309684933e+01, -8.070530326848754044e+01 --1.164185386412373902e+00, 2.423276150432494891e+00, 4.748676498923353861e+00, -4.082159751329509589e+00, 2.293891721372317782e+00, -2.481384266904891689e+01, 8.445491091063223266e+00, -8.660655555797404759e+00, -1.502150063482127678e+02, -2.738308910874062008e+02, 1.116662541219932791e+03, -2.771240601489209325e+02, -1.941843709045839717e+02, -1.354137449671796389e+02, -3.295191504688823159e+01 --8.065870900159028967e-01, -3.988384172998931554e+00, -3.558406727815515147e-01, 2.586649841974642428e+00, -2.002389748934936975e+01, -1.695580279727053608e+00, 2.279938498059283170e+00, -5.373551748730219657e+01, -5.372212933994111950e+01, -1.244268398462929213e+02, -2.771240601489206483e+02, 1.382619375382528688e+03, -3.862560764225918888e+02, -2.570729939405728715e+02, -2.043554944696272457e+02 -6.851453267078084879e-03, -4.637330239619472216e+00, 3.849753265988892448e+00, -2.216974723414005144e+00, 1.563043007188147904e+01, -2.901551555670379301e+01, -1.115478627338821482e+01, -3.882066642461327177e+01, -4.920918693279394063e+01, -8.661751261771051702e+01, -1.941843709045845685e+02, -3.862560764225902403e+02, 1.719864494870406133e+03, -5.286223863472529274e+02, -4.159401205020865859e+02 -4.712387158045730828e+00, -6.936707467541310956e-01, 2.457445602814774421e+00, -5.281962559549103098e+00, 7.481676201625949929e+00, -1.103224154920769351e+01, -2.499518767951926179e+00, 2.837899413970385609e+01, -1.037194027344146718e+01, -7.761188334309593984e+01, -1.354137449671836180e+02, -2.570729939405751452e+02, -5.286223863472529274e+02, 1.791871335442120426e+03, -8.265089322363570545e+02 --1.328108536494477798e+00, 3.334842210087926251e+00, -6.655619329794332906e+00, -4.639259665871874105e+00, -1.262577558403792644e+01, 4.141939313498021846e+01, -2.226675590846885910e+01, -2.135777396927425897e+01, -9.132829561220235703e+00, -8.070530326848633251e+01, -3.295191504688546047e+01, -2.043554944696274731e+02, -4.159401205020837438e+02, -8.265089322363609199e+02, 1.494945297813010484e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE076 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE076 deleted file mode 100644 index 052ae2c4..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE076 +++ /dev/null @@ -1,15 +0,0 @@ -2.440538140203686268e+01, 2.732547009087777212e+01, 7.854209393252522098e+00, 1.618115490437602499e+00, 6.006966469415403687e+00, 9.267395720636127932e-01, 5.035164462551615649e+00, 2.062852914473720101e-01, -6.442078388021014845e+00, 5.643393099219295550e+00, -3.289053387961466957e+00, 2.866931852934206049e+00, -2.390691324197938616e+00, 8.228329470356959163e+00, 1.885557230307284948e+00 -2.732547009087777568e+01, 6.416530422562576064e+01, 4.287708552895266756e+00, -3.832601813381644629e+00, 7.075999215924928087e+00, 4.901243717866463179e+00, 3.667726437518084914e+00, -8.475362827425552581e+00, 2.323889003917934681e-01, 1.650836348440249779e+01, 1.372368616463144120e+00, 7.988520492310720478e+00, -5.750345343470813830e+00, 2.421163944838089943e+00, 2.067192495828118037e+00 -7.854209393252522986e+00, 4.287708552895267644e+00, 6.093278343491416393e+01, -1.797591212774207392e+01, -6.936380476061365208e+00, -3.352799210803386054e-01, -7.550856016646777746e+00, -2.245709471652107769e+00, -5.750881353821341690e+00, -5.881243897171149371e+00, 6.944804584785496893e+00, -3.151065561801168258e+00, 8.728691592807372501e+00, 8.392976027714802001e+00, 2.738024212605810526e+00 -1.618115490437605164e+00, -3.832601813381643296e+00, -1.797591212774207747e+01, 1.067771326705255603e+02, -3.269963967210080824e+01, -1.390934146717287412e+01, -1.242308340700840930e+01, -4.568866400774042269e+00, -1.724882729454048658e+01, -5.993705444087105150e+00, 4.660316770568592837e+00, -1.102891392348752575e+01, 1.694190084356546322e+01, -6.022165547050478906e+00, 1.338699675617450424e+01 -6.006966469415401910e+00, 7.075999215924925423e+00, -6.936380476061370537e+00, -3.269963967210079403e+01, 1.928565981246953527e+02, -7.225816481683537518e+01, -2.334907083900968683e+00, -1.921538771424084402e+01, -1.416190138213668526e+01, -4.469614464520479835e+00, -1.903500660972638414e+01, 1.403298641359442733e+01, 6.189815601512501431e+00, -4.657062565138482491e+00, 4.859696681457499778e+00 -9.267395720635991374e-01, 4.901243717866452521e+00, -3.352799210803247276e-01, -1.390934146717285280e+01, -7.225816481683538939e+01, 3.049798136999057192e+02, -8.349556760794909849e+01, -5.408393121049741126e+01, -3.239025459907663418e+01, 1.310815264198432395e+01, -4.183811044140895774e+00, -3.925446816305959175e+01, -1.962092887449029277e+01, 2.204754065467217572e+01, 3.936944688550800819e+00 -5.035164462551620090e+00, 3.667726437518120886e+00, -7.550856016646792845e+00, -1.242308340700841462e+01, -2.334907083900982450e+00, -8.349556760794915533e+01, 3.630723935292601823e+02, -8.497310687473630253e+01, -6.675610753984877022e+01, -4.457988931357737528e+01, -8.939268388620748240e+00, 3.638405595953533300e+00, 7.671216833600146501e+00, -5.869293561073018139e+01, 2.800323106409107154e+01 -2.062852914473650434e-01, -8.475362827425582779e+00, -2.245709471652078904e+00, -4.568866400774038716e+00, -1.921538771424076231e+01, -5.408393121049747521e+01, -8.497310687473621726e+01, 5.098240040680414040e+02, -1.726539835978730366e+02, -8.005499736018943224e+01, -4.960495435201360692e+01, -1.440676995734437860e+01, -1.178960677155573178e+00, -1.806990845965185244e+01, 7.035326313075758620e+00 --6.442078388020992641e+00, 2.323889003918342688e-01, -5.750881353821332809e+00, -1.724882729454055053e+01, -1.416190138213671723e+01, -3.239025459907667681e+01, -6.675610753984844337e+01, -1.726539835978731219e+02, 8.216306860396180127e+02, -2.025596806122138105e+02, -9.259345485637172146e+01, -7.679067646520825008e+01, -4.951048151741586167e+01, -2.787919326141846454e+01, -4.231850587581112677e+01 -5.643393099219295550e+00, 1.650836348440242674e+01, -5.881243897171162693e+00, -5.993705444087117584e+00, -4.469614464520600627e+00, 1.310815264198493502e+01, -4.457988931357808582e+01, -8.005499736018850854e+01, -2.025596806122136968e+02, 1.048389650812777290e+03, -2.837129645117036603e+02, -1.583367557398345582e+02, -1.172961604984135846e+02, -5.292633796957615289e+01, -4.880919966258515075e+01 --3.289053387961479835e+00, 1.372368616463144342e+00, 6.944804584785451596e+00, 4.660316770568705635e+00, -1.903500660972626690e+01, -4.183811044141943825e+00, -8.939268388620495998e+00, -4.960495435201401193e+01, -9.259345485637130935e+01, -2.837129645117008749e+02, 1.216259637042993745e+03, -2.479746479470709914e+02, -2.293909505925220742e+02, -1.084952015570123791e+02, -1.559062252874927310e+02 -2.866931852934179847e+00, 7.988520492310693832e+00, -3.151065561801183357e+00, -1.102891392348754884e+01, 1.403298641359410226e+01, -3.925446816305872488e+01, 3.638405595952477256e+00, -1.440676995734285626e+01, -7.679067646520819324e+01, -1.583367557398347572e+02, -2.479746479470715030e+02, 1.439314040980518257e+03, -3.869415311101204225e+02, -2.477008188032386045e+02, -2.435562739968320614e+02 --2.390691324197886658e+00, -5.750345343470746329e+00, 8.728691592807491517e+00, 1.694190084356547032e+01, 6.189815601512850485e+00, -1.962092887449085410e+01, 7.671216833600234430e+00, -1.178960677158683135e+00, -4.951048151741707670e+01, -1.172961604984126751e+02, -2.293909505925238079e+02, -3.869415311101159318e+02, 1.758531732742295162e+03, -5.272403724006722996e+02, -4.421615692722820654e+02 -8.228329470356905873e+00, 2.421163944838072624e+00, 8.392976027714770026e+00, -6.022165547050418510e+00, -4.657062565138732957e+00, 2.204754065467235691e+01, -5.869293561072983323e+01, -1.806990845965223613e+01, -2.787919326142019116e+01, -5.292633796957854742e+01, -1.084952015570054726e+02, -2.477008188032350233e+02, -5.272403724006825314e+02, 1.794323807045215972e+03, -8.297832555889468722e+02 -1.885557230307339349e+00, 2.067192495828170884e+00, 2.738024212605787877e+00, 1.338699675617436213e+01, 4.859696681457577938e+00, 3.936944688550803928e+00, 2.800323106409178919e+01, 7.035326313077478133e+00, -4.231850587580875356e+01, -4.880919966258546339e+01, -1.559062252874953458e+02, -2.435562739968394794e+02, -4.421615692722722883e+02, -8.297832555889503965e+02, 1.622992900516078407e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE082 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE082 deleted file mode 100644 index fa199c33..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE082 +++ /dev/null @@ -1,15 +0,0 @@ -2.161344499561034738e+01, 2.213411836449086323e+01, 8.205588652288652085e+00, 7.353719645958368689e-01, 6.045268919158274246e-01, 1.042801934433289723e+00, -1.594593801687255397e+00, 4.023976607564941355e-01, 4.272960662360206219e-01, -2.811344449923307565e+00, 5.018186247966626823e+00, -1.781587334201973905e+00, 7.276138778985462352e+00, 5.324554491157879710e+00, 5.607765152381982254e+00 -2.213411836449085612e+01, 5.054683900949580533e+01, -1.911121973151921560e+00, -4.268088463463682314e-01, 2.755856079450095919e+00, -6.125537363169807348e-01, -8.456276357053027937e+00, 3.963273468256661047e+00, 6.473347488741982403e+00, -9.768990542558549706e+00, -8.335074088495380451e+00, 7.175639787617198451e+00, 8.406963071953711619e+00, 3.137380650304292473e+00, 1.388128071740126934e+01 -8.205588652288653861e+00, -1.911121973151924891e+00, 6.409841509290313866e+01, -2.529122451965037044e+01, -1.759096368257326048e+01, -2.896911823348561899e-01, 5.344723698560955860e+00, -9.038215051248270626e-01, 9.474909239279187823e-01, 8.035457521671089509e+00, 6.252180705011440409e+00, 1.326715898287978135e+01, 6.427413120853345596e+00, 3.330497119143827511e+00, -1.930548660855820486e+01 -7.353719645958385343e-01, -4.268088463463661220e-01, -2.529122451965038820e+01, 1.079519716246580856e+02, -2.067128294316006176e+01, -3.233320542532742792e+01, -1.635020401036661397e+01, -3.823005466632803273e+00, -8.291804120491292451e+00, -8.133620034002046140e+00, -2.809316671179304059e+00, 1.036124188944728886e+01, -1.172447611928517297e+01, 9.503499436844196069e+00, 1.516122450563007362e+01 -6.045268919158360843e-01, 2.755856079450104357e+00, -1.759096368257323206e+01, -2.067128294316010084e+01, 1.817109591374901072e+02, -6.296416236142326284e+01, -3.845576761427915358e+01, -3.217229438915803996e+01, 1.007984588367902390e+01, -1.854218275743729549e+01, 1.235561807786431032e+01, -1.909341258421019205e+01, -1.902819488272724513e+01, 2.228601357839469088e+01, 2.569809659434589832e+01 -1.042801934433285282e+00, -6.125537363169905047e-01, -2.896911823348606307e-01, -3.233320542532742792e+01, -6.296416236142327705e+01, 3.149269865096137551e+02, -7.085527086215445536e+01, -6.386164752909299125e+01, -4.709393868609520695e+01, -5.664354981942621947e+01, 8.062764829680396872e+00, -1.258615056230873108e+01, 4.059856262881595512e+01, -8.320177521879363880e+00, 1.420123919509608612e+01 --1.594593801687263168e+00, -8.456276357053019055e+00, 5.344723698560942537e+00, -1.635020401036661042e+01, -3.845576761427916068e+01, -7.085527086215442694e+01, 3.966333491687088326e+02, -1.102185226811622556e+02, -8.575792810071723693e+01, -7.527706194763124969e+00, -4.211861457661218822e+01, 4.757719274425261879e+00, -2.882374120353952662e+01, -2.148996626103756924e+01, 4.068349297670238940e+01 -4.023976607564933583e-01, 3.963273468256672150e+00, -9.038215051248617016e-01, -3.823005466632797944e+00, -3.217229438915791206e+01, -6.386164752909297704e+01, -1.102185226811624403e+02, 5.702254082533871724e+02, -1.493782297388121378e+02, -1.087606374653564671e+02, -3.732064564395528095e+01, -1.447853754256864356e+01, -1.731723315248779471e+01, 3.201472611739056617e+00, -1.590495693614509065e+01 -4.272960662360184014e-01, 6.473347488741922895e+00, 9.474909239279335482e-01, -8.291804120491258701e+00, 1.007984588367907541e+01, -4.709393868609520695e+01, -8.575792810071673955e+01, -1.493782297388132463e+02, 8.154699013895905182e+02, -2.269464117473542331e+02, -1.344270020805964805e+02, -5.375641938080887883e+01, -3.167243353581999799e+01, -1.914712502530078808e+01, -4.441143373435964037e+01 --2.811344449923259159e+00, -9.768990542558460888e+00, 8.035457521671107273e+00, -8.133620034002108312e+00, -1.854218275743758682e+01, -5.664354981942606315e+01, -7.527706194763354119e+00, -1.087606374653553303e+02, -2.269464117473546025e+02, 1.040088666421164135e+03, -2.424603675879767195e+02, -2.056673237947002519e+02, -4.273807223567871461e+01, -5.172563930032964663e+01, -6.723048590698944338e+01 -5.018186247966564650e+00, -8.335074088495394662e+00, 6.252180705011431527e+00, -2.809316671179168612e+00, 1.235561807786447908e+01, 8.062764829679833767e+00, -4.211861457661139241e+01, -3.732064564395579964e+01, -1.344270020805981574e+02, -2.424603675879753553e+02, 1.224875625744511581e+03, -2.315562721599717690e+02, -2.805906403127000317e+02, -1.237016987042723457e+02, -1.039330934092262737e+02 --1.781587334201997219e+00, 7.175639787617118515e+00, 1.326715898287978490e+01, 1.036124188944732261e+01, -1.909341258421042298e+01, -1.258615056230889628e+01, 4.757719274424951017e+00, -1.447853754256718162e+01, -5.375641938080921278e+01, -2.056673237946988024e+02, -2.315562721599761176e+02, 1.372958665249806472e+03, -3.873592675432985288e+02, -2.264476739161912917e+02, -2.245549165646474421e+02 -7.276138778985465017e+00, 8.406963071953668987e+00, 6.427413120853248785e+00, -1.172447611928512856e+01, -1.902819488272734105e+01, 4.059856262881613986e+01, -2.882374120353945202e+01, -1.731723315248715878e+01, -3.167243353581775622e+01, -4.273807223568591951e+01, -2.805906403126910504e+02, -3.873592675433022805e+02, 1.803990782625813608e+03, -5.594318893272056812e+02, -4.614310489547852967e+02 -5.324554491157939218e+00, 3.137380650304361307e+00, 3.330497119143959406e+00, 9.503499436844188963e+00, 2.228601357839438890e+01, -8.320177521879667637e+00, -2.148996626103733831e+01, 3.201472611738125362e+00, -1.914712502530189653e+01, -5.172563930032398360e+01, -1.237016987042750316e+02, -2.264476739161945034e+02, -5.594318893272017021e+02, 1.821643718428576676e+03, -8.572733174756746166e+02 -5.607765152381970708e+00, 1.388128071740134395e+01, -1.930548660855823684e+01, 1.516122450562991553e+01, 2.569809659434642413e+01, 1.420123919509670607e+01, 4.068349297670197728e+01, -1.590495693614596817e+01, -4.441143373435959063e+01, -6.723048590699040972e+01, -1.039330934092282064e+02, -2.245549165646427525e+02, -4.614310489547880820e+02, -8.572733174756733661e+02, 1.628092307137570515e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE088 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE088 deleted file mode 100644 index 8f15979f..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE088 +++ /dev/null @@ -1,15 +0,0 @@ -2.018366083690206381e+01, 2.263211339545813061e+01, 9.416916466098983918e+00, -2.385032243846333166e+00, 8.971481890931929382e-01, -1.302711762890854441e+00, 2.276772656468941669e+00, -2.651312098470150147e+00, 3.918713756559188077e+00, 1.425340427433402368e+01, -2.009723317515881291e+00, -7.727986924413693615e+00, 2.447923120709376121e+00, 8.141851012523114051e+00, 7.756273475494619429e-01 -2.263211339545813416e+01, 5.737104995020313680e+01, 1.113938178721964789e+01, -5.237970555220243796e+00, -4.665150831061293246e+00, -5.059045755940647204e+00, 3.307706277531075045e+00, -3.876192050222874830e+00, -1.248553588762121436e+01, 2.077461530633018683e+01, -1.081775218478885359e+00, -1.100414602388900143e+01, 1.375745757674023517e+00, 1.477883498046133326e+01, 1.245270432277338202e+01 -9.416916466098983918e+00, 1.113938178721964434e+01, 6.527183689355261720e+01, -1.910135657738799608e+01, -1.574728769263598238e+01, -1.473014008618489523e+00, -9.987495589328940326e+00, -5.573162400646113568e+00, 4.351095702647006291e+00, 1.210059368639272570e+01, -1.377900446246883848e-02, 1.425643004566754524e+00, -5.428191290801525071e-01, 3.807357537736874686e+00, 3.512977183386878366e-01 --2.385032243846332278e+00, -5.237970555220244684e+00, -1.910135657738800319e+01, 9.305429302125865831e+01, -2.719962720022534697e+01, -2.545513488999350571e+01, -5.067497805140730449e+00, 6.525484477454578602e+00, -1.508502171323627294e+01, -8.627184109988945693e+00, 6.036852052029086479e+00, 2.586459253477482623e+00, 3.117687188143997190e+01, 3.534591689805412162e+00, -1.534486974364798861e+01 -8.971481890931912728e-01, -4.665150831061295023e+00, -1.574728769263598238e+01, -2.719962720022536828e+01, 1.733814228226096361e+02, -5.616615599960436356e+01, -3.062464777785572423e+01, -2.630581002337270036e+01, -1.238396000846394784e+01, -2.809868208492382724e+00, 1.035753914053406888e+01, 2.619576767960975161e+00, -9.463509169958056466e-01, 8.832555249363598371e-01, 5.777701181224665916e+00 --1.302711762890850666e+00, -5.059045755940648093e+00, -1.473014008618485526e+00, -2.545513488999348795e+01, -5.616615599960440619e+01, 3.203772735393268363e+02, -8.766195392243349715e+01, -5.500153889414063002e+01, -4.825038137428381901e+01, -1.974002920212868517e+01, -4.113482111513036443e+01, -1.102241388918349507e+01, 2.742760222103436263e+01, -4.253435015130098584e+00, 3.164718409873805882e+01 -2.276772656468927014e+00, 3.307706277531072825e+00, -9.987495589328942103e+00, -5.067497805140739331e+00, -3.062464777785569581e+01, -8.766195392243355400e+01, 3.987607300613595953e+02, -7.679843288070519236e+01, -8.189794082487524918e+01, -4.847124104242461584e+01, -1.444317506382828142e+01, -1.835934875150649503e+01, -2.009165077689754497e+01, -7.081721395462088786e+00, 2.424061928697203427e+01 --2.651312098470153700e+00, -3.876192050222861507e+00, -5.573162400646109127e+00, 6.525484477454574161e+00, -2.630581002337263641e+01, -5.500153889414077213e+01, -7.679843288070507867e+01, 5.651476146875210134e+02, -1.608967620327429700e+02, -1.058650479530400901e+02, -4.303085233317963798e+01, -3.456121506664627674e+01, -7.520083996774730828e+00, 2.364667658223099167e+01, -4.436994113030177544e+01 -3.918713756559212502e+00, -1.248553588762121258e+01, 4.351095702646991192e+00, -1.508502171323626584e+01, -1.238396000846394962e+01, -4.825038137428386875e+01, -8.189794082487509286e+01, -1.608967620327431973e+02, 8.499013696330982839e+02, -1.843909223123562526e+02, -1.027316711631745250e+02, -6.413792590776992597e+01, -8.570142848523128976e+01, -2.813991155323944682e+01, -3.277934973148847320e+01 -1.425340427433401658e+01, 2.077461530633017261e+01, 1.210059368639271682e+01, -8.627184109988927929e+00, -2.809868208492477315e+00, -1.974002920212857859e+01, -4.847124104242487874e+01, -1.058650479530395074e+02, -1.843909223123561105e+02, 1.040501954033109314e+03, -2.134813050016950058e+02, -1.331926827616640594e+02, -1.446149073851088929e+02, -9.883739790586197671e+01, -3.441065220388568946e+01 --2.009723317515892393e+00, -1.081775218478876033e+00, -1.377900446243793611e-02, 6.036852052029089144e+00, 1.035753914053422520e+01, -4.113482111513011574e+01, -1.444317506382905769e+01, -4.303085233317938929e+01, -1.027316711631756192e+02, -2.134813050016937552e+02, 1.143904362310143370e+03, -2.719465913576336220e+02, -1.240217197810326155e+02, -1.669227982460491546e+02, -1.473295452266440861e+02 --7.727986924413698056e+00, -1.100414602388906182e+01, 1.425643004566736538e+00, 2.586459253477505271e+00, 2.619576767960790420e+00, -1.102241388918356968e+01, -1.835934875150705636e+01, -3.456121506664618437e+01, -6.413792590776775171e+01, -1.331926827616653952e+02, -2.719465913576319167e+02, 1.358820211750721228e+03, -2.704141067405296326e+02, -3.160043605657351122e+02, -2.293049568037969550e+02 -2.447923120709405431e+00, 1.375745757674066372e+00, -5.428191290801647195e-01, 3.117687188143993637e+01, -9.463509169957705636e-01, 2.742760222103421697e+01, -2.009165077689685575e+01, -7.520083996774674873e+00, -8.570142848523137502e+01, -1.446149073851092339e+02, -1.240217197810348466e+02, -2.704141067405302579e+02, 1.692294321162529286e+03, -5.248964643218437232e+02, -5.317320785595519510e+02 -8.141851012523130038e+00, 1.477883498046132793e+01, 3.807357537736856923e+00, 3.534591689805388626e+00, 8.832555249364432148e-01, -4.253435015130669683e+00, -7.081721395460507829e+00, 2.364667658223035218e+01, -2.813991155323977722e+01, -9.883739790586380991e+01, -1.669227982460456303e+02, -3.160043605657369881e+02, -5.248964643218456558e+02, 1.793911604931914781e+03, -7.264277127425258413e+02 -7.756273475494122049e-01, 1.245270432277340689e+01, 3.512977183387256397e-01, -1.534486974364799750e+01, 5.777701181224599303e+00, 3.164718409873873028e+01, 2.424061928697094004e+01, -4.436994113030173992e+01, -3.277934973148926900e+01, -3.441065220388303914e+01, -1.473295452266469852e+02, -2.293049568037929760e+02, -5.317320785595525194e+02, -7.264277127425276603e+02, 1.611878804668803468e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE095 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE095 deleted file mode 100644 index 578d3845..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE095 +++ /dev/null @@ -1,15 +0,0 @@ -2.485150825994013246e+01, 2.870960096191423006e+01, 7.914182917774671644e+00, 7.285429628955700565e+00, -1.690984845211794374e+00, 1.089465934989261919e+00, 8.571912591734152542e+00, 1.390580664053945981e+00, -7.969621384427284516e-01, -4.378642391838146075e+00, 9.694033590732622940e+00, -3.835505235594230289e+00, 5.341335765015563508e-01, 7.507906565190864967e+00, 6.188203298856235435e+00 -2.870960096191422295e+01, 6.368514413614404646e+01, 2.112386614619319758e+00, 5.680132790269037280e+00, -4.557419122809512224e+00, 9.136642526420507560e-01, 1.487301209981114880e+01, 2.528355222124279766e+00, -1.940386007792726630e+00, 2.785660225979384119e+00, 5.829615444928855084e+00, -1.322838479210018114e+01, -8.431587464078100780e+00, 2.069666748675684431e+01, 8.445034563529253191e+00 -7.914182917774674308e+00, 2.112386614619320646e+00, 6.492732249435167091e+01, -1.696922713187188592e+01, -4.059956749068061477e+00, -2.169658328243373546e+01, 1.819166591452195281e+00, -3.014691468086926118e+00, -9.903515219199116260e+00, -7.727393797140317488e+00, 1.395141063423487005e+01, 1.329862361089431788e+00, 5.868227799481525508e+00, -2.903244798520391967e+00, 2.310332916674012083e+01 -7.285429628955699677e+00, 5.680132790269037280e+00, -1.696922713187188947e+01, 1.092257634985920731e+02, -3.870238562198289145e+01, -2.164601494177043506e+01, -7.786378701628647647e+00, -2.399319309166192227e+01, -2.848575364807237609e+00, -7.692041541898410273e+00, -4.067742682036788793e+00, -6.478562200068974652e-01, 1.284175401730012211e+00, 2.056728013449841086e+01, 1.386590214964950896e+01 --1.690984845211797039e+00, -4.557419122809514889e+00, -4.059956749068056148e+00, -3.870238562198291277e+01, 1.701871695266830500e+02, -6.619760122923086954e+01, -3.947226318129906986e+01, -1.199820364879531454e+01, -5.762575108770337629e+00, -6.649895457557770229e+00, 5.052388313053431806e-02, 1.703938792692367343e+01, -5.855937796877716650e+00, -1.416467268083067843e+01, 1.693904934012972774e+01 -1.089465934989270357e+00, 9.136642526420658550e-01, -2.169658328243373546e+01, -2.164601494177039243e+01, -6.619760122923088375e+01, 3.209429507977719709e+02, -6.158275856935833303e+01, -5.466622349382583224e+01, -4.005695508485958811e+01, -5.520168042307778933e+01, -5.460571943258931249e+00, -1.479721126979253221e+01, -3.663163326948334353e-01, 1.316028909543411274e+01, 2.006691575365248070e+01 -8.571912591734168529e+00, 1.487301209981117545e+01, 1.819166591452194615e+00, -7.786378701628600574e+00, -3.947226318129909828e+01, -6.158275856935834014e+01, 3.989525124672098855e+02, -1.027997257085233827e+02, -4.207481079778528965e+01, -7.761946679594038301e+01, -7.412926244085632277e+01, -1.325669891555087787e+01, 1.787844551686472627e+01, 1.268010499225812993e+01, 1.030602580429310677e+01 -1.390580664053932214e+00, 2.528355222124236246e+00, -3.014691468086916348e+00, -2.399319309166197911e+01, -1.199820364879531631e+01, -5.466622349382574697e+01, -1.027997257085233827e+02, 5.834587432093468351e+02, -1.684485068230695219e+02, -6.855566301383940697e+01, -4.482158061960781481e+01, -6.006125233116016915e+01, -2.749272708219089978e+01, 4.057954765493906102e+00, 1.606418456939531003e+00 --7.969621384427603150e-01, -1.940386007792755052e+00, -9.903515219199100272e+00, -2.848575364807238053e+00, -5.762575108770420229e+00, -4.005695508485941048e+01, -4.207481079778531807e+01, -1.684485068230696356e+02, 8.001485958473447226e+02, -1.404529054362857892e+02, -9.731207320336238809e+01, -5.698348148510532241e+01, -1.033751817320366087e+02, -6.091185291718279160e+01, -1.845507573312198701e+01 --4.378642391838146075e+00, 2.785660225979341043e+00, -7.727393797140305942e+00, -7.692041541898506196e+00, -6.649895457557613909e+00, -5.520168042307801670e+01, -7.761946679594045406e+01, -6.855566301383875327e+01, -1.404529054362861586e+02, 1.018402232629334435e+03, -1.732805032892867132e+02, -1.475111711626135502e+02, -9.072292638626313988e+01, -9.831454295030719948e+01, -9.880618013824292234e+01 -9.694033590732628269e+00, 5.829615444928889723e+00, 1.395141063423489491e+01, -4.067742682036691093e+00, 5.052388313066020348e-02, -5.460571943258901051e+00, -7.412926244085601013e+01, -4.482158061960851114e+01, -9.731207320336233124e+01, -1.732805032892869121e+02, 1.122528751607514778e+03, -1.919065222164316822e+02, -1.934681741681162919e+02, -1.416339579985918533e+02, -1.529729321032367011e+02 --3.835505235594232953e+00, -1.322838479210023799e+01, 1.329862361089354517e+00, -6.478562200070517862e-01, 1.703938792692368054e+01, -1.479721126979201351e+01, -1.325669891555145163e+01, -6.006125233116031126e+01, -5.698348148510383027e+01, -1.475111711626148008e+02, -1.919065222164299485e+02, 1.352739821462932696e+03, -3.443636719352624027e+02, -2.900781119862979835e+02, -2.193317326942885188e+02 -5.341335765015559067e-01, -8.431587464078054595e+00, 5.868227799481594786e+00, 1.284175401730027533e+00, -5.855937796877794810e+00, -3.663163326953935428e-01, 1.787844551686555761e+01, -2.749272708219157124e+01, -1.033751817320383566e+02, -9.072292638626073824e+01, -1.934681741681148708e+02, -3.443636719352639375e+02, 1.642979287000252498e+03, -4.435536730235053255e+02, -4.479437900430444301e+02 -7.507906565190879178e+00, 2.069666748675689760e+01, -2.903244798520411063e+00, 2.056728013449835757e+01, -1.416467268083082054e+01, 1.316028909543405767e+01, 1.268010499225818677e+01, 4.057954765494846683e+00, -6.091185291718143446e+01, -9.831454295030827950e+01, -1.416339579985912280e+02, -2.900781119862969035e+02, -4.435536730235092477e+02, 1.842937915830962766e+03, -8.651079466001106084e+02 -6.188203298856262080e+00, 8.445034563529228322e+00, 2.310332916674012438e+01, 1.386590214964962975e+01, 1.693904934012975261e+01, 2.006691575365259439e+01, 1.030602580429266091e+01, 1.606418456939507466e+00, -1.845507573312270466e+01, -9.880618013824270918e+01, -1.529729321032404528e+02, -2.193317326942867282e+02, -4.479437900430403943e+02, -8.651079466001122000e+02, 1.648478171875156704e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE103 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE103 deleted file mode 100644 index 9d1278ca..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE103 +++ /dev/null @@ -1,15 +0,0 @@ -2.268355585465629787e+01, 2.238701736721675317e+01, 8.377261630560528971e+00, 3.948065983650622446e+00, -4.075364807308263781e-01, -1.062888922731620722e+00, 1.156609440274743772e+00, -1.254485182908323671e-01, -4.420884418149841899e+00, 5.594637030297334945e+00, -8.040132089416163197e-01, -3.288643408327600604e-01, 5.655457601386801869e+00, -3.063872765846267221e-01, 1.405799768254107285e+01 -2.238701736721674962e+01, 5.211463104938871282e+01, -2.289766577106565837e+00, 2.090034805951013652e+00, -4.720663755184664190e+00, 8.678720760222711661e+00, -4.659484566320522880e+00, -2.521698146053207967e+00, -1.047760915607025112e+01, 5.372092850130040453e+00, -8.873937499961366271e+00, 1.871379554148449031e-01, 7.155436931546678148e-01, 5.299018371140913786e+00, 2.669425608502609037e+01 -8.377261630560525418e+00, -2.289766577106565837e+00, 6.778353240689585846e+01, -1.936699492414432910e+01, -1.194491088773253651e+01, -8.940242235376249624e+00, -3.650646353695200741e+00, -8.584086426631264644e+00, -1.643152225325244231e+01, 6.273182551817632069e-01, 8.363295613805883655e-02, -8.691925466663498412e+00, 2.252517998068118743e+01, -3.081553073890990202e+00, 2.035008096191011262e+01 -3.948065983650622002e+00, 2.090034805951012320e+00, -1.936699492414433621e+01, 9.806191125933763431e+01, -2.644988319664173559e+01, -1.986150456848378809e+01, -1.547504103676851805e+01, 2.861281434179123728e+00, -6.885415720198468925e+00, -4.323946870331605297e+00, -1.021793912728989895e+01, 1.584739385876141604e+00, 9.712706592841717779e+00, 5.235818487865752324e+00, 6.540967636392110984e-01 --4.075364807308211601e-01, -4.720663755184655308e+00, -1.194491088773253473e+01, -2.644988319664175336e+01, 1.847699510353791936e+02, -5.675429565637545437e+01, -3.301756063487171389e+01, -1.999517118876450539e+01, -8.002970149713426906e+00, -2.225892241328243770e+01, 2.977780308142833121e+00, 1.184008376556179698e+01, -3.912301252716988476e+00, 3.569832216209296583e+00, -5.487844372432349793e+00 --1.062888922731625829e+00, 8.678720760222702779e+00, -8.940242235376244295e+00, -1.986150456848378454e+01, -5.675429565637547569e+01, 3.012068211138794709e+02, -9.576736113851166010e+01, -3.273899301959586694e+01, -6.948567820709544662e+01, -3.746418085183569247e+01, -2.037280514327948211e+01, 4.331626772857283925e+01, -2.962229459323968861e+00, 1.062135308055536242e+01, 1.355918749418324332e+01 -1.156609440274734446e+00, -4.659484566320529098e+00, -3.650646353695228719e+00, -1.547504103676850740e+01, -3.301756063487172099e+01, -9.576736113851163168e+01, 4.112150895594743361e+02, -1.233717696431834412e+02, -2.687613745177627678e+01, -5.233675718771641527e+01, -1.588788911806439152e+01, -3.850782569667753563e+01, 2.375436503269083843e+00, 5.061051466675783317e+00, 1.240620579576333427e+01 --1.254485182908158525e-01, -2.521698146053173772e+00, -8.584086426631268196e+00, 2.861281434179116623e+00, -1.999517118876451960e+01, -3.273899301959590247e+01, -1.233717696431835122e+02, 5.493885891939228259e+02, -1.545432156174416605e+02, -7.563522904571122751e+01, -9.196247277410019194e+01, 1.250506484782657246e+00, -3.508860420805376634e+01, -2.426914981326686416e+01, 2.936454224239434296e+01 --4.420884418149846340e+00, -1.047760915607026355e+01, -1.643152225325240323e+01, -6.885415720198462708e+00, -8.002970149713323877e+00, -6.948567820709556031e+01, -2.687613745177613112e+01, -1.545432156174421152e+02, 7.966600064723667174e+02, -1.362268981853360685e+02, -6.657218278285075996e+01, -1.258206871215304972e+02, -1.229063286533226602e+02, -4.287970271644441311e+01, 1.000004234992822560e+01 -5.594637030297362479e+00, 5.372092850130045782e+00, 6.273182551818213826e-01, -4.323946870331551118e+00, -2.225892241328240928e+01, -3.746418085183604774e+01, -5.233675718771627317e+01, -7.563522904571092909e+01, -1.362268981853357275e+02, 1.079489606665697238e+03, -1.888486240895913397e+02, -1.705788302889088754e+02, -1.335268759606607887e+02, -1.253236534882944824e+02, -8.008402752871995744e+01 --8.040132089415773509e-01, -8.873937499961424891e+00, 8.363295613805131479e-02, -1.021793912728982612e+01, 2.977780308142732313e+00, -2.037280514327961711e+01, -1.588788911806395632e+01, -9.196247277410077459e+01, -6.657218278285152735e+01, -1.888486240895901176e+02, 1.131456805099863004e+03, -2.157854300827703753e+02, -2.137592083147835353e+02, -1.351031036864600878e+02, -1.400776151115821904e+02 --3.288643408327442952e-01, 1.871379554149019409e-01, -8.691925466663493083e+00, 1.584739385876058781e+00, 1.184008376556170283e+01, 4.331626772857330110e+01, -3.850782569667858013e+01, 1.250506484783470817e+00, -1.258206871215295450e+02, -1.705788302889085344e+02, -2.157854300827712848e+02, 1.353393578538347583e+03, -3.227205723844132308e+02, -2.703040212151902892e+02, -2.291871856902020284e+02 -5.655457601386753019e+00, 7.155436931546786949e-01, 2.252517998068117322e+01, 9.712706592841653830e+00, -3.912301252717071076e+00, -2.962229459323850733e+00, 2.375436503268994581e+00, -3.508860420805227420e+01, -1.229063286533240955e+02, -1.335268759606614708e+02, -2.137592083147841606e+02, -3.227205723844111844e+02, 1.714987842067890597e+03, -4.193672001803018361e+02, -4.633085725033207609e+02 --3.063872765846246682e-01, 5.299018371140816974e+00, -3.081553073891119876e+00, 5.235818487865813609e+00, 3.569832216209315678e+00, 1.062135308055538907e+01, 5.061051466675724697e+00, -2.426914981326790155e+01, -4.287970271644373099e+01, -1.253236534882920381e+02, -1.351031036864606563e+02, -2.703040212151877881e+02, -4.193672001803026319e+02, 1.768585673405471653e+03, -7.925803221955461595e+02 -1.405799768254105508e+01, 2.669425608502615788e+01, 2.035008096191022631e+01, 6.540967636392177598e-01, -5.487844372432241435e+00, 1.355918749418302660e+01, 1.240620579576384763e+01, 2.936454224239395572e+01, 1.000004234992802843e+01, -8.008402752872262909e+01, -1.400776151115800587e+02, -2.291871856902063200e+02, -4.633085725033189988e+02, -7.925803221955433173e+02, 1.560899994071005494e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE111 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE111 deleted file mode 100644 index bb9a85d7..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE111 +++ /dev/null @@ -1,15 +0,0 @@ -2.381724288052899041e+01, 2.743803457229782339e+01, 1.122676103317329321e+01, 9.554522422160330875e-01, 1.083901360741502673e+00, -1.565214775877658004e+00, 3.515416183617270374e+00, 4.568493805205487313e+00, 3.577546549195723902e+00, -1.637396428962747841e+00, -1.975618127524167322e+00, -2.842128442214902684e+00, 5.434468161217687943e+00, 1.111313076172503678e+01, 9.041815775503035724e+00 -2.743803457229783405e+01, 5.849805996909071837e+01, 1.007143774593857266e+01, -4.850915452375366144e+00, 1.030691645271458290e+00, -2.316866962096949756e+00, 4.486009123811747656e+00, 8.741964146209349806e+00, 8.842016478463904150e+00, -2.981169291886970996e+00, -1.658242187204767149e+01, -5.394845163372013808e+00, 4.580706044204937655e+00, 1.008279841415712141e+01, 2.314587139360085644e+01 -1.122676103317328966e+01, 1.007143774593857088e+01, 6.184192456284289818e+01, -1.808103181722595565e+01, -1.310717645831306655e+01, -1.499630374128245514e+01, 9.962463514510917495e-01, 4.195414214884881865e+00, 6.977794678734538181e+00, -1.267198406937545130e+01, 4.544059281888696233e+00, -7.068323378275285229e+00, 1.104450535898978103e+01, 8.746304757994490586e+00, 1.560222115284246236e+01 -9.554522422160329764e-01, -4.850915452375365255e+00, -1.808103181722596275e+01, 9.729894855022895683e+01, -3.011392715289269617e+01, -6.875992461372476328e+00, -8.201484375078464950e+00, -1.323897527076225344e+01, -1.085431445411015083e+01, 4.289763446391654966e+00, -4.019639240057432339e+00, -2.447171848463454147e+00, -1.853540030418175277e+00, 6.099069504484681659e+00, 9.192287386135195248e+00 -1.083901360741503783e+00, 1.030691645271460066e+00, -1.310717645831306655e+01, -3.011392715289270328e+01, 1.754317044922563014e+02, -5.839578014701971398e+01, -1.627380880565095822e+01, -1.224671232516408992e+01, -3.444063645470836832e+01, -7.196499588387933244e+00, -1.858409742370903928e+01, 2.101313269997592048e+00, 5.923916633114251207e-01, -5.243912180390592148e+00, 2.648084715457014937e+01 --1.565214775877647124e+00, -2.316866962096949312e+00, -1.499630374128245336e+01, -6.875992461372487874e+00, -5.839578014701967135e+01, 2.996927073444043685e+02, -7.978916004668383266e+01, -5.696114641291930525e+01, -3.794829848076109613e+01, -4.030435034661726235e+01, -1.247036183848238977e+01, 3.440815965194659931e+00, -1.222513354491964499e+01, 2.342967147114041637e+01, 1.860478459858763500e+01 -3.515416183617270374e+00, 4.486009123811749433e+00, 9.962463514510934148e-01, -8.201484375078473832e+00, -1.627380880565097598e+01, -7.978916004668384687e+01, 3.773936145674941258e+02, -1.008660258556987657e+02, -7.456556384639269197e+01, -5.681940026346629224e+01, -4.722699223022478776e+01, -1.925396816255560140e+00, 1.204278910479267051e+00, 3.372410462601142456e+01, -2.766075552354852807e+00 -4.568493805205489977e+00, 8.741964146209351583e+00, 4.195414214884886306e+00, -1.323897527076224279e+01, -1.224671232516406683e+01, -5.696114641291929814e+01, -1.008660258556987230e+02, 5.511260230504577748e+02, -1.275972276549901068e+02, -9.292844693286350832e+01, -3.783751739342424258e+01, -5.183056943851522647e+01, -1.755132980245520358e+01, -3.121776418064404268e+01, 3.074718704230311062e+01 -3.577546549195699921e+00, 8.842016478463897045e+00, 6.977794678734518641e+00, -1.085431445411014373e+01, -3.444063645470836832e+01, -3.794829848076089718e+01, -7.456556384639276303e+01, -1.275972276549900215e+02, 7.791522407923270066e+02, -1.757317285903208699e+02, -7.388498290478776198e+01, -9.169091747574560713e+01, -7.026922020435226557e+01, -2.535062845734798742e+01, -2.724455163323433027e+01 --1.637396428962739181e+00, -2.981169291886986539e+00, -1.267198406937542998e+01, 4.289763446391648749e+00, -7.196499588387923474e+00, -4.030435034661746130e+01, -5.681940026346626382e+01, -9.292844693286312463e+01, -1.757317285903209552e+02, 1.000333635755088608e+03, -1.399794938597104306e+02, -9.480944772143070054e+01, -1.063164251998639998e+02, -1.164727085530416275e+02, -1.396793113508500710e+02 --1.975618127524165102e+00, -1.658242187204762530e+01, 4.544059281888689128e+00, -4.019639240057466978e+00, -1.858409742370908901e+01, -1.247036183848235957e+01, -4.722699223022460302e+01, -3.783751739342431364e+01, -7.388498290478695196e+01, -1.399794938597103169e+02, 1.103019150018105620e+03, -2.073365650248939289e+02, -2.202185585561133507e+02, -1.518819397631696404e+02, -1.259449129229288076e+02 --2.842128442214901796e+00, -5.394845163372089303e+00, -7.068323378275241708e+00, -2.447171848463462140e+00, 2.101313269997539646e+00, 3.440815965194772730e+00, -1.925396816255495303e+00, -5.183056943851517673e+01, -9.169091747574589135e+01, -9.480944772143139687e+01, -2.073365650248929057e+02, 1.332434399548116289e+03, -2.866350064367831010e+02, -2.891459863155612879e+02, -2.629968431878390902e+02 -5.434468161217688831e+00, 4.580706044204887029e+00, 1.104450535898977392e+01, -1.853540030418137308e+00, 5.923916633114367780e-01, -1.222513354491961479e+01, 1.204278910478990383e+00, -1.755132980245570806e+01, -7.026922020435182503e+01, -1.063164251998635592e+02, -2.202185585561131518e+02, -2.866350064367810546e+02, 1.718068599891945723e+03, -5.180313923940416316e+02, -4.755901368290622031e+02 -1.111313076172505454e+01, 1.008279841415713740e+01, 8.746304757994497692e+00, 6.099069504484624815e+00, -5.243912180390354116e+00, 2.342967147113986215e+01, 3.372410462601135350e+01, -3.121776418064296976e+01, -2.535062845734787373e+01, -1.164727085530420112e+02, -1.518819397631702941e+02, -2.891459863155630501e+02, -5.180313923940384484e+02, 1.867829920489919004e+03, -8.066931278321570744e+02 -9.041815775503007302e+00, 2.314587139360087065e+01, 1.560222115284238065e+01, 9.192287386135214788e+00, 2.648084715457011384e+01, 1.860478459858810751e+01, -2.766075552354761324e+00, 3.074718704230239297e+01, -2.724455163323532858e+01, -1.396793113508494457e+02, -1.259449129229284665e+02, -2.629968431878390334e+02, -4.755901368290632831e+02, -8.066931278321559375e+02, 1.698753508316631496e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE120 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE120 deleted file mode 100644 index 153bdbc8..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE120 +++ /dev/null @@ -1,15 +0,0 @@ -2.468303974330711270e+01, 3.171627481960122097e+01, 6.094505090931059854e+00, 4.688117094635334325e+00, 1.305160413770551919e+00, 2.604931257587280058e+00, -3.801393568168546899e+00, -3.277722438707816544e+00, -8.158923635148880749e+00, 8.506427122898911009e+00, -3.380774303127630720e+00, 9.369335058715403619e+00, 7.807656192783687388e+00, 1.324675388510464380e+01, 6.041475970342192525e+00 -3.171627481960122807e+01, 7.526036759829351297e+01, 1.831616728327322585e+00, 5.466457263537900069e+00, 6.362884459069962695e+00, -9.506467728860664712e-01, -1.219464604928298357e+01, -6.781681839091026731e+00, -7.435987782741338314e+00, 1.163356081373418505e+01, -9.919692277441527040e+00, 1.276869702148908203e+01, 8.171585020036966185e+00, 2.225735029492157580e+01, 2.009133349771732924e+01 -6.094505090931063407e+00, 1.831616728327325694e+00, 7.110593170301926591e+01, -1.954570697926929412e+01, -1.355462122713644035e+01, -7.419203735572669878e+00, -8.662751584222907475e-01, -9.730061604589494095e+00, -1.676081194682633679e+01, -3.892635613830097707e+00, -1.202609312981095080e+01, 7.524384022291514817e+00, -2.019876169917361963e+00, 4.149312497276369527e+00, 2.617079121210846537e+01 -4.688117094635336102e+00, 5.466457263537898292e+00, -1.954570697926930123e+01, 9.409008128050301423e+01, -2.818121790017103834e+01, -1.619434531293996216e+01, -1.054357361498396450e+01, -3.023861902966710247e+01, -8.358913268519302164e+00, 9.729990564843189915e+00, -1.764380982960841893e+00, 2.727704734479370896e-01, 3.415785478642214912e+01, 8.625530309816760166e+00, -1.296775587053700107e+01 -1.305160413770551697e+00, 6.362884459069964471e+00, -1.355462122713644746e+01, -2.818121790017104900e+01, 2.009213932158813805e+02, -8.331778370347902296e+01, -4.878458893341515790e+01, -4.309576416391548292e+01, 1.193690827052645531e+01, -1.224437868078139147e+00, -1.559638823578806921e+01, 4.072594495795662795e+00, -2.301671397726153145e+01, 3.612610643007265310e+01, 2.886657403235098585e+01 -2.604931257587286719e+00, -9.506467728860581445e-01, -7.419203735572646785e+00, -1.619434531293996926e+01, -8.331778370347899454e+01, 3.272737978518561590e+02, -5.974233126587024145e+01, -1.651374642363613177e+01, -7.617910167093533857e+01, -2.105766806222522547e+01, 6.822860900645885351e+00, -2.719212010735386542e+01, -6.284802395803293251e+00, -1.537269870630326274e+01, 1.446619206092938548e+01 --3.801393568168553116e+00, -1.219464604928299067e+01, -8.662751584222913026e-01, -1.054357361498397694e+01, -4.878458893341513658e+01, -5.974233126587029830e+01, 3.833174364830910008e+02, -9.146258018176274618e+01, -5.549544449065593454e+01, -7.789909203704090146e+01, -1.843234228756933035e+01, -2.723306165855383654e+01, 1.900670870732036732e+01, -1.088756268853749987e+01, -2.407834511998829807e+00 --3.277722438707819652e+00, -6.781681839091051600e+00, -9.730061604589513635e+00, -3.023861902966708115e+01, -4.309576416391551135e+01, -1.651374642363607137e+01, -9.146258018176270355e+01, 6.192922887945874209e+02, -1.125755708032883291e+02, -9.872926030794972974e+01, -6.096998898600566008e+01, -1.009685914955982611e+01, -5.885003565585344631e+01, -5.867336321736026150e+01, -4.475709382011577198e+00 --8.158923635148887854e+00, -7.435987782741332985e+00, -1.676081194682634035e+01, -8.358913268519287953e+00, 1.193690827052646597e+01, -7.617910167093529594e+01, -5.549544449065606244e+01, -1.125755708032883859e+02, 7.820502737562211450e+02, -1.721086679101329935e+02, -1.319005848751703240e+02, -4.699695811126446898e+01, -5.557109163391080386e+01, -6.747004787378148016e+00, -6.639903032663556814e+01 -8.506427122898944759e+00, 1.163356081373419926e+01, -3.892635613830068841e+00, 9.729990564843159717e+00, -1.224437868078156910e+00, -2.105766806222516507e+01, -7.789909203704097251e+01, -9.872926030794941710e+01, -1.721086679101331356e+02, 1.060877402926230388e+03, -2.207882568054737931e+02, -1.660448606776617453e+02, -1.156008353032997036e+02, -3.391455259803192490e+01, -9.457440315867793856e+01 --3.380774303127610736e+00, -9.919692277441484407e+00, -1.202609312981092060e+01, -1.764380982960830568e+00, -1.559638823578814915e+01, 6.822860900645957294e+00, -1.843234228756909232e+01, -6.096998898600590167e+01, -1.319005848751706935e+02, -2.207882568054735373e+02, 1.186674393448370893e+03, -1.948053474859273422e+02, -2.389979696240899898e+02, -1.898884147909013222e+02, -9.811738135771351210e+01 -9.369335058715373421e+00, 1.276869702148898966e+01, 7.524384022291479290e+00, 2.727704734479610149e-01, 4.072594495795556213e+00, -2.719212010735358476e+01, -2.723306165855357719e+01, -1.009685914956009434e+01, -4.699695811126461109e+01, -1.660448606776614042e+02, -1.948053474859274843e+02, 1.409891728131372247e+03, -2.917353177015526740e+02, -3.061264188066668339e+02, -2.904833813961973306e+02 -7.807656192783686500e+00, 8.171585020036969738e+00, -2.019876169917357078e+00, 3.415785478642211359e+01, -2.301671397726127211e+01, -6.284802395803414932e+00, 1.900670870732047391e+01, -5.885003565585412844e+01, -5.557109163391088202e+01, -1.156008353032998883e+02, -2.389979696240895635e+02, -2.917353177015516508e+02, 1.739829932734284057e+03, -4.995606903062969195e+02, -4.588217368483135488e+02 -1.324675388510458518e+01, 2.225735029492144434e+01, 4.149312497276344658e+00, 8.625530309816834773e+00, 3.612610643007242572e+01, -1.537269870630332314e+01, -1.088756268853755138e+01, -5.867336321736022597e+01, -6.747004787377607116e+00, -3.391455259803228017e+01, -1.898884147909002138e+02, -3.061264188066680276e+02, -4.995606903062953279e+02, 1.867744237578029697e+03, -7.749163702771601265e+02 -6.041475970342242263e+00, 2.009133349771743227e+01, 2.617079121210848314e+01, -1.296775587053707746e+01, 2.886657403235113861e+01, 1.446619206092910837e+01, -2.407834511999098481e+00, -4.475709382010605530e+00, -6.639903032663561078e+01, -9.457440315867795277e+01, -9.811738135771467739e+01, -2.904833813961967621e+02, -4.588217368483144583e+02, -7.749163702771589897e+02, 1.684342157191033948e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE130 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE130 deleted file mode 100644 index c36bed80..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE130 +++ /dev/null @@ -1,15 +0,0 @@ -2.639346176840456693e+01, 2.860193751802609441e+01, 1.412246898380802484e+01, 3.279337537706607186e+00, -8.128357704635899239e+00, 1.494630022073526021e+00, 4.065519833023469864e+00, 1.717069852853078116e+00, 8.624973801507027638e-01, -4.360509755547634647e+00, 3.046845244535956176e+00, -5.225700477379329634e+00, 9.033742711448386586e+00, 5.784550655130392016e+00, 1.627991355051878841e+01 -2.860193751802609796e+01, 6.541230341238193091e+01, 9.489261519964694358e+00, 3.509516674814619819e+00, -1.647150130609274044e+01, -5.434132051928669549e-01, 4.165383216067545469e+00, -1.498127709270741459e+00, 5.684412589353040612e-01, -9.426315649361929894e-02, 1.236292325923621593e+00, -5.766737886826544646e+00, 1.033013507584557900e+01, 6.955526495993287206e+00, 2.808161523107542479e+01 -1.412246898380802484e+01, 9.489261519964694358e+00, 7.148494877489929422e+01, -1.846276110934082126e+01, -1.799889045598009574e+01, -5.671229746638357661e+00, -4.707820219732589351e+00, -3.764752049045085425e+00, 5.340486288646789426e+00, -8.283235628788713001e+00, 1.850778978109572037e+00, -1.243073849819461563e+00, -6.638225962097960009e-01, -2.751487431959378060e+00, 1.791415715434850853e+01 -3.279337537706602745e+00, 3.509516674814615822e+00, -1.846276110934082482e+01, 1.159723694213731022e+02, -3.573101577789465466e+01, -2.588849189049193811e+01, -1.279239097917855794e+01, -1.028330931597036368e+01, -1.001921018586816636e+01, -1.351326252022484375e+01, -9.621344796157362822e+00, 3.129942700861704008e+00, -2.424169397136727522e+00, 1.752442064946663436e+01, 1.811061363961634996e+01 --8.128357704635901015e+00, -1.647150130609275109e+01, -1.799889045598009218e+01, -3.573101577789466177e+01, 1.953290717238344882e+02, -5.132392613025398731e+01, -1.683564277360657258e+01, -1.036513186078537352e+01, -3.788063754304577913e+01, -2.195776670768809424e+01, -1.776248708846425117e+01, -1.211602841532734232e+00, 1.340961661071276367e+01, 2.270657430028996870e+01, -9.877827881803071364e+00 -1.494630022073531794e+00, -5.434132051928639573e-01, -5.671229746638356772e+00, -2.588849189049193811e+01, -5.132392613025395889e+01, 3.169637791344966899e+02, -6.852166063697251275e+01, -7.475288095271464783e+01, -3.842376179397818703e+01, -2.368402458570043478e+01, -4.140817074057438418e+01, -2.998950854797283849e+00, -4.959008626820289756e+00, 5.761513235625876916e+00, 2.365061957094695799e+01 -4.065519833023459206e+00, 4.165383216067529482e+00, -4.707820219732596456e+00, -1.279239097917856682e+01, -1.683564277360658679e+01, -6.852166063697251275e+01, 3.699041639494029141e+02, -8.200316539183627640e+01, -7.486003281849764335e+01, -5.358124390725315322e+01, -4.166843411136559183e+01, -3.616212697343891946e+00, 1.060815861685928319e+01, 6.912619595170489184e+00, 1.047628902833643316e+01 -1.717069852853061906e+00, -1.498127709270748564e+00, -3.764752049045094306e+00, -1.028330931597033526e+01, -1.036513186078542326e+01, -7.475288095271464783e+01, -8.200316539183624798e+01, 5.625717417995131200e+02, -1.257273696752039882e+02, -7.503534458304183374e+01, -8.619316135148324065e+01, -5.845478602726933559e+01, -1.936197806865324722e+01, -4.244365145203378376e+00, 3.251656984377003567e+01 -8.624973801507043181e-01, 5.684412589353265988e-01, 5.340486288646797419e+00, -1.001921018586818235e+01, -3.788063754304589992e+01, -3.842376179397788860e+01, -7.486003281849767177e+01, -1.257273696752043435e+02, 7.341589671776999921e+02, -1.200260787272495264e+02, -4.039681806394013108e+01, -9.556138579947845813e+01, -1.027037201896415013e+02, -6.802394683233347905e+01, -2.002339903928253406e+01 --4.360509755547608890e+00, -9.426315649359705284e-02, -8.283235628788709448e+00, -1.351326252022480823e+01, -2.195776670768806582e+01, -2.368402458570038505e+01, -5.358124390725302533e+01, -7.503534458304172006e+01, -1.200260787272499243e+02, 1.003541121533879277e+03, -1.810839563539746564e+02, -1.074584012303151184e+02, -1.148132681354756670e+02, -1.226079340506399973e+02, -1.408105935664819128e+02 -3.046845244535969055e+00, 1.236292325923687985e+00, 1.850778978109584916e+00, -9.621344796157405455e+00, -1.776248708846425828e+01, -4.140817074057444813e+01, -4.166843411136572684e+01, -8.619316135148334013e+01, -4.039681806393986818e+01, -1.810839563539738037e+02, 1.212365468729226905e+03, -2.239525953186406468e+02, -1.899578862897486715e+02, -1.815082002178309040e+02, -1.837330218926087184e+02 --5.225700477379292330e+00, -5.766737886826566850e+00, -1.243073849819467114e+00, 3.129942700861624072e+00, -1.211602841532648966e+00, -2.998950854797623577e+00, -3.616212697344469262e+00, -5.845478602726870321e+01, -9.556138579947781864e+01, -1.074584012303147773e+02, -2.239525953186404763e+02, 1.377432250665650145e+03, -3.529396292862713267e+02, -2.704057583687272768e+02, -2.588809570348841476e+02 -9.033742711448368823e+00, 1.033013507584555768e+01, -6.638225962097997757e-01, -2.424169397136729298e+00, 1.340961661071285427e+01, -4.959008626820161858e+00, 1.060815861685920325e+01, -1.936197806865353854e+01, -1.027037201896409897e+02, -1.148132681354765907e+02, -1.899578862897495242e+02, -3.529396292862707014e+02, 1.683861373611435283e+03, -4.426810649580587551e+02, -4.263947567861477523e+02 -5.784550655130344943e+00, 6.955526495993201941e+00, -2.751487431959364294e+00, 1.752442064946663436e+01, 2.270657430028995094e+01, 5.761513235625495888e+00, 6.912619595170854225e+00, -4.244365145202821488e+00, -6.802394683233362116e+01, -1.226079340506409210e+02, -1.815082002178282039e+02, -2.704057583687284705e+02, -4.426810649580606309e+02, 1.736848079853928766e+03, -6.675195690502592925e+02 -1.627991355051879907e+01, 2.808161523107544966e+01, 1.791415715434849076e+01, 1.811061363961641035e+01, -9.877827881803115773e+00, 2.365061957094730971e+01, 1.047628902833667297e+01, 3.251656984376939619e+01, -2.002339903928334408e+01, -1.408105935664813728e+02, -1.837330218926099121e+02, -2.588809570348826696e+02, -4.263947567861467860e+02, -6.675195690502600883e+02, 1.606872761389375682e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE140 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE140 deleted file mode 100644 index ab882fcf..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE140 +++ /dev/null @@ -1,15 +0,0 @@ -3.082060313187881206e+01, 3.523329101313611034e+01, 9.115305726485567916e+00, 6.976307814095451754e+00, 2.242437327876014297e-01, -1.734902275246930525e+00, -8.671568960382909808e+00, 7.542608187322477065e+00, -7.485478063944768223e-01, -4.083010565428534910e+00, 6.989638701030346901e+00, 3.094536556183334675e+00, 6.058747296878641109e+00, 7.460166620832347384e+00, 1.674687486710223183e+01 -3.523329101313611034e+01, 7.655438485554476813e+01, 4.619529837851848342e+00, 5.876810800485167796e+00, 4.549011461511785370e+00, 4.348150302210441964e+00, -1.999592657108840754e+01, 2.763240224657606880e+00, -1.791635658318023516e+00, -6.997977408373358799e+00, 5.747945584880334025e+00, -7.955049317374585982e+00, 1.532613797327838867e+01, 7.947268645907774598e+00, 3.863954596921527695e+01 -9.115305726485560811e+00, 4.619529837851841236e+00, 7.070973515760380224e+01, -2.020567397866552994e+01, -7.164237187495365866e+00, 1.973696944705642053e+00, -4.594960766158599164e+00, 8.331902917765448002e-01, -1.233668048839165721e+01, -3.834557893935524486e+00, -1.892749104857263021e+01, -9.649032536810019378e-01, 4.563218486439276411e+00, 1.058176999421464259e+01, 2.061497038925165270e+01 -6.976307814095455306e+00, 5.876810800485168684e+00, -2.020567397866552284e+01, 1.083848276044317913e+02, -2.210291643007494145e+01, -1.456565938094449919e+01, -2.285833676366179290e+01, -1.080566969999962490e+00, -2.761330606248883868e+01, 5.643654760843990204e+00, -3.882179038237489443e+00, 4.249093896207913446e+00, 7.860220664020199699e+00, -7.902921986409821020e-01, 3.034565703306530082e+00 -2.242437327875974329e-01, 4.549011461511776488e+00, -7.164237187495362313e+00, -2.210291643007492723e+01, 1.865588330454517916e+02, -6.733284517771058120e+01, -2.995192677725659181e+01, -2.812487846943611203e+01, -4.588695819505155704e+00, -3.425283444216037765e+01, -2.055635763646359138e+01, -1.284155395881355410e+01, -9.519848524382568122e-01, 1.561435149377932419e+01, 3.043435872051012581e+01 --1.734902275246927195e+00, 4.348150302210441964e+00, 1.973696944705633616e+00, -1.456565938094450097e+01, -6.733284517771056699e+01, 2.920308599286208278e+02, -6.198437878507544951e+01, -4.567674868876027006e+01, -4.781699178073446888e+01, -3.816968687486819789e+01, 9.510586121524619685e+00, -2.220181599892876179e+01, 2.350075239591416221e+01, -2.016411527575451501e+01, 1.638435896237673006e+01 --8.671568960382899149e+00, -1.999592657108839333e+01, -4.594960766158589394e+00, -2.285833676366179290e+01, -2.995192677725662023e+01, -6.198437878507537846e+01, 4.140658411769308032e+02, -7.381973598590285235e+01, -5.898793652943565036e+01, -6.315113591307066088e+01, -4.724758502792035841e+01, -5.209913399285645141e+01, -2.592549011307449902e+01, 8.219552754655483184e+00, 2.288073675265643203e+01 -7.542608187322471736e+00, 2.763240224657600663e+00, 8.331902917765450223e-01, -1.080566969999967597e+00, -2.812487846943605518e+01, -4.567674868876033401e+01, -7.381973598590288077e+01, 5.544701144358497231e+02, -1.529120140255191416e+02, -6.575258659620770629e+01, -3.840148383702592128e+01, -2.085328752586737977e+01, -4.858083735260097313e+01, -4.736284916263862499e+01, 2.622038131531728666e+01 --7.485478063944452920e-01, -1.791635658318009527e+00, -1.233668048839167319e+01, -2.761330606248883512e+01, -4.588695819505145934e+00, -4.781699178073457546e+01, -5.898793652943556509e+01, -1.529120140255189142e+02, 7.830810711129256561e+02, -1.668876981868904181e+02, -8.968251547792641531e+01, -7.656123319688607864e+01, -8.858383242751061459e+01, -7.039042644302440976e+00, -3.163354309343420567e+01 --4.083010565428551786e+00, -6.997977408373358799e+00, -3.834557893935534700e+00, 5.643654760844024842e+00, -3.425283444216039186e+01, -3.816968687486811973e+01, -6.315113591307061114e+01, -6.575258659620783419e+01, -1.668876981868899918e+02, 1.040968123641026750e+03, -1.797991968534984437e+02, -1.301467425677386700e+02, -1.290389019823880119e+02, -7.324967860240009543e+01, -1.367007279793014334e+02 -6.989638701030345125e+00, 5.747945584880327807e+00, -1.892749104857264797e+01, -3.882179038237475233e+00, -2.055635763646361269e+01, 9.510586121524525538e+00, -4.724758502792020920e+01, -3.840148383702591417e+01, -8.968251547792634426e+01, -1.797991968534979890e+02, 1.162985202936888527e+03, -1.973114004535356401e+02, -1.705105178254541158e+02, -1.503327832805710784e+02, -2.134931925443599994e+02 -3.094536556183336007e+00, -7.955049317374571771e+00, -9.649032536810029370e-01, 4.249093896207920551e+00, -1.284155395881348660e+01, -2.220181599892887547e+01, -5.209913399285697722e+01, -2.085328752586735845e+01, -7.656123319688578022e+01, -1.301467425677386416e+02, -1.973114004535348727e+02, 1.301701197811290967e+03, -2.878020815851845100e+02, -2.565910101377281194e+02, -2.176289440590431639e+02 -6.058747296878693511e+00, 1.532613797327852190e+01, 4.563218486439334143e+00, 7.860220664020180159e+00, -9.519848524383421884e-01, 2.350075239591432563e+01, -2.592549011307437823e+01, -4.858083735260067471e+01, -8.858383242751138198e+01, -1.290389019823892056e+02, -1.705105178254535474e+02, -2.878020815851835437e+02, 1.694359775036356950e+03, -4.384908803848714456e+02, -4.999451255761150605e+02 -7.460166620832385576e+00, 7.947268645907828777e+00, 1.058176999421463016e+01, -7.902921986409087163e-01, 1.561435149377903819e+01, -2.016411527575437646e+01, 8.219552754655936155e+00, -4.736284916263952027e+01, -7.039042644302885066e+00, -7.324967860239857487e+01, -1.503327832805712490e+02, -2.565910101377281762e+02, -4.384908803848701950e+02, 1.736357750495330265e+03, -7.535782792149478837e+02 -1.674687486710214657e+01, 3.863954596921507800e+01, 2.061497038925164915e+01, 3.034565703306493223e+00, 3.043435872051037450e+01, 1.638435896237665901e+01, 2.288073675265609808e+01, 2.622038131531770233e+01, -3.163354309343390014e+01, -1.367007279793018597e+02, -2.134931925443606531e+02, -2.176289440590435333e+02, -4.999451255761159700e+02, -7.535782792149462921e+02, 1.740535607993770782e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE151 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE151 deleted file mode 100644 index 78c2ce29..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE151 +++ /dev/null @@ -1,15 +0,0 @@ -2.045238006923461427e+01, 2.200568429498791190e+01, 1.024517743836610428e+01, -2.102506252378057994e+00, -4.444235054887257341e+00, 5.984658853609736706e-01, -1.657539239705102974e+00, 3.941091945312412914e+00, -4.420303694321093602e+00, 9.251264570593611958e-02, 1.568802573197372041e+00, 4.205159662600919113e+00, 2.014944328651076255e-01, 3.270532268178826474e+00, 2.157636011945857391e+01 -2.200568429498791190e+01, 5.416214178939333834e+01, 3.598546230814529068e+00, -1.785211486722809715e+00, -2.788910274563662473e+00, -5.202320895802228229e+00, -1.052226245229915591e+01, -3.795714547878750178e-01, -1.326792109600699376e+01, -3.843221827193021856e+00, 3.268144899430275530e+00, 9.694781523231462472e+00, 7.204277558490478350e-01, 2.756950863448295763e+00, 3.712988341467443831e+01 -1.024517743836609895e+01, 3.598546230814528624e+00, 7.537417157378737897e+01, -2.056330112957137501e+01, -2.055490856825600332e+01, -3.257901071279595051e+00, 1.365403885762883540e+01, -1.237398285340325721e+01, -7.853983494805879317e+00, -9.148866089504023691e+00, -4.416418357292285712e+00, 1.718774711086515916e-01, 4.681941226583849591e+00, 3.086446944437078344e+00, 1.758758839033108146e+01 --2.102506252378056661e+00, -1.785211486722809049e+00, -2.056330112957137501e+01, 9.780850682036253829e+01, -2.272800523297895126e+01, -2.239616476019106273e+01, -3.354958931071199402e+01, 1.970112014158503566e+00, -1.693020241259895897e+01, -4.819392403441810302e+00, -7.232378617914045904e+00, -4.741597380012156471e+00, 1.989946623338136600e-01, -3.833545260139748834e+00, 3.169757586899053337e+01 --4.444235054887254677e+00, -2.788910274563661584e+00, -2.055490856825602108e+01, -2.272800523297894060e+01, 1.785828118974242500e+02, -5.811378262074292422e+01, -3.144703934605295359e+01, -1.391953807630893181e+01, -2.679092836883872764e+01, -4.153918490519646411e+01, 5.432530111311876020e+00, 1.616015430886289650e+01, -2.426144315694730125e+01, 1.167877525999168675e+01, 1.875492836482250070e+01 -5.984658853609781115e-01, -5.202320895802227341e+00, -3.257901071279587502e+00, -2.239616476019103786e+01, -5.811378262074293843e+01, 3.160907942676798825e+02, -7.182094823311570053e+01, -4.913364730944851289e+01, -3.227416328049430660e+01, -2.645117989695012284e+01, -6.968142147593487934e+00, -1.582235574480429641e+01, 5.617697218193718811e+00, -5.951473906943548720e+00, -9.644676983608420073e+00 --1.657539239705108081e+00, -1.052226245229915769e+01, 1.365403885762884961e+01, -3.354958931071197270e+01, -3.144703934605292872e+01, -7.182094823311577159e+01, 4.468339788348953903e+02, -8.308858355974618348e+01, -5.396214327591411575e+01, -6.909411940740399416e+01, -5.553457910982723433e+01, -5.147138052539367692e+01, -2.083426819914393935e+00, 3.083946564532181078e+00, -3.218353062644014440e+00 -3.941091945312428457e+00, -3.795714547878639156e-01, -1.237398285340320570e+01, 1.970112014158496239e+00, -1.391953807630899220e+01, -4.913364730944844183e+01, -8.308858355974609822e+01, 5.441597063762218340e+02, -1.166329693028240939e+02, -8.484714379514257132e+01, -9.820056809417367560e+01, -2.925883249127729613e+01, -2.052993333493497730e+01, -1.309453003326541953e+01, 1.592259204957775509e+00 --4.420303694321114030e+00, -1.326792109600701153e+01, -7.853983494805869547e+00, -1.693020241259897318e+01, -2.679092836883865303e+01, -3.227416328049442740e+01, -5.396214327591410154e+01, -1.166329693028240797e+02, 7.976172388422426138e+02, -1.779146269419159410e+02, -1.071768765257021130e+02, -1.037264821442100668e+02, -3.646287664359587666e+01, -3.716983178532564835e+01, -4.398828831234388304e+01 -9.251264570591841152e-02, -3.843221827193057827e+00, -9.148866089504043231e+00, -4.819392403441882244e+00, -4.153918490519644990e+01, -2.645117989694995941e+01, -6.909411940740388047e+01, -8.484714379514259974e+01, -1.779146269419157704e+02, 1.095552184888528018e+03, -1.228830224835900253e+02, -1.402757181677113181e+02, -1.437473230335051539e+02, -8.616118162152591253e+01, -1.405565868299247541e+02 -1.568802573197407346e+00, 3.268144899430321715e+00, -4.416418357292282160e+00, -7.232378617914042351e+00, 5.432530111311714371e+00, -6.968142147593415103e+00, -5.553457910982736223e+01, -9.820056809417361876e+01, -1.071768765257022267e+02, -1.228830224835892295e+02, 1.189737221492322533e+03, -1.982621110115243823e+02, -2.080355919152646607e+02, -1.449964282641815316e+02, -1.992665307042296092e+02 -4.205159662600944870e+00, 9.694781523231519316e+00, 1.718774711086227536e-01, -4.741597380012160912e+00, 1.616015430886297466e+01, -1.582235574480414009e+01, -5.147138052539388298e+01, -2.925883249127714336e+01, -1.037264821442100526e+02, -1.402757181677118581e+02, -1.982621110115233023e+02, 1.342044124024118219e+03, -2.484722884921610557e+02, -3.312508528125870839e+02, -2.038246424368705618e+02 -2.014944328651258887e-01, 7.204277558491348765e-01, 4.681941226583881566e+00, 1.989946623338084419e-01, -2.426144315694716980e+01, 5.617697218193522524e+00, -2.083426819914217187e+00, -2.052993333493487427e+01, -3.646287664359604719e+01, -1.437473230335052676e+02, -2.080355919152661386e+02, -2.484722884921585262e+02, 1.637090948505748202e+03, -4.705932523119717530e+02, -4.813190976274480022e+02 -3.270532268178789614e+00, 2.756950863448234923e+00, 3.086446944437074347e+00, -3.833545260139848754e+00, 1.167877525999180577e+01, -5.951473906943316905e+00, 3.083946564531919954e+00, -1.309453003326487597e+01, -3.716983178532633048e+01, -8.616118162152655202e+01, -1.449964282641811906e+02, -3.312508528125864018e+02, -4.705932523119688540e+02, 1.800323506727286485e+03, -7.309261190844162002e+02 -2.157636011945855969e+01, 3.712988341467439568e+01, 1.758758839033105303e+01, 3.169757586899065060e+01, 1.875492836482236569e+01, -9.644676983608645671e+00, -3.218353062643774187e+00, 1.592259204956987473e+00, -4.398828831234315828e+01, -1.405565868299238446e+02, -1.992665307042290124e+02, -2.038246424368732335e+02, -4.813190976274499917e+02, -7.309261190844131306e+02, 1.780171214041730082e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE163 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE163 deleted file mode 100644 index 5d1986a3..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE163 +++ /dev/null @@ -1,15 +0,0 @@ -2.070693699676125021e+01, 2.266026885293181792e+01, 2.723972089767496829e+00, 7.507623267410883372e+00, -4.762554025792208878e-01, -1.113308597364307317e+01, -3.723613950845361842e+00, -4.297049107391680778e+00, 1.165015080774732592e+00, 8.230760077952567144e+00, 2.156445067711633135e-01, 1.199311143142481439e+00, 4.000432267730614555e+00, 5.435261753054526856e+00, 1.398804986148056173e+01 -2.266026885293182502e+01, 6.019261498977787994e+01, -3.310722502858864491e+00, 8.996786596866801489e+00, 1.199545149999187155e+00, -9.974809898805768071e+00, 6.762066296857436321e-01, -1.492116270429623093e+01, -1.421534998742371414e+01, 6.696927818947574274e+00, 2.241673874126507204e+00, 5.820639936374800705e+00, 7.468439644416809742e+00, 7.758397188657593091e+00, 3.150527907549001227e+01 -2.723972089767497273e+00, -3.310722502858864491e+00, 6.870994228532126158e+01, -1.445174753517756017e+01, -1.508553216913084682e+01, -1.882579460669314031e+01, -8.374122174613027880e+00, -3.438952395339950896e-01, -8.486398104782361784e+00, -1.352717015124667732e+01, -1.062199803544405619e+01, -1.044367355504928874e+01, 1.737452037456389320e+00, 1.837245143894551802e+01, 2.380318928250305177e+01 -7.507623267410885148e+00, 8.996786596866806818e+00, -1.445174753517756017e+01, 1.067026380649884061e+02, -2.144702427623690610e+01, -2.352599075643139770e+01, -2.328634954494318166e+01, -4.907716720261737109e+00, -1.281818940865816892e+01, 1.171832612874108115e+00, 1.471087416460157371e+01, 1.689648844234906022e+01, -7.353796696810548372e-01, -1.794515313028942316e+01, 4.022868908710534597e-01 --4.762554025792252732e-01, 1.199545149999179827e+00, -1.508553216913085393e+01, -2.144702427623694163e+01, 1.961008239287906179e+02, -5.143558935201255622e+01, -4.832287850316772193e+01, -2.602212799012636069e+01, -4.624518862958121979e+00, -4.986850057546885928e+00, -3.069756700409122629e+01, 8.261073520031237294e+00, -1.113798397730174727e+01, 1.658695914539472227e+01, 3.495741522761961040e+00 --1.113308597364306785e+01, -9.974809898805752084e+00, -1.882579460669314741e+01, -2.352599075643134441e+01, -5.143558935201255622e+01, 3.373171065718428849e+02, -6.022481367683295872e+01, -7.324602585123751908e+01, -2.049384381101166142e+01, -4.400202896661552643e+01, -5.983378191041659022e+00, -4.040895767775948855e+01, -2.166125090847002710e+01, 2.109550025530398543e+01, 2.257620994159590566e+01 --3.723613950845361842e+00, 6.762066296857293102e-01, -8.374122174613004788e+00, -2.328634954494317810e+01, -4.832287850316778588e+01, -6.022481367683295161e+01, 4.025764953268561612e+02, -1.036817704215554130e+02, -6.285266785280635560e+01, -3.222605058915719667e+01, -5.007529399342629262e+01, -5.718203659485227064e+01, 1.598170488003146872e+01, 3.671407650721481009e+00, -2.346921651190117686e+01 --4.297049107391680778e+00, -1.492116270429622382e+01, -3.438952395340014734e-01, -4.907716720261788623e+00, -2.602212799012632516e+01, -7.324602585123747645e+01, -1.036817704215554556e+02, 5.805270310950119210e+02, -1.244593980515944196e+02, -8.867673568933990680e+01, -4.364202339866267977e+01, -3.990666104612419218e+01, -5.743432069266838624e+01, -6.447308291175286854e+01, 5.563786680335128665e+01 -1.165015080774734146e+00, -1.421534998742370348e+01, -8.486398104782374219e+00, -1.281818940865810141e+01, -4.624518862958247212e+00, -2.049384381101157970e+01, -6.285266785280636981e+01, -1.244593980515944480e+02, 7.869907118901262493e+02, -1.524719384963139817e+02, -9.085098983172164822e+01, -6.383671690719531711e+01, -8.219404999241784537e+01, -7.740434627685202429e+01, -7.557358045335156760e+01 -8.230760077952570697e+00, 6.696927818947577826e+00, -1.352717015124667554e+01, 1.171832612874088797e+00, -4.986850057546859283e+00, -4.400202896661549801e+01, -3.222605058915711140e+01, -8.867673568933989259e+01, -1.524719384963140101e+02, 1.029815988964726785e+03, -2.254606841230100258e+02, -1.318274206103058361e+02, -6.802836272464972467e+01, -1.237027780599168096e+02, -1.261703550202322788e+02 -2.156445067711820207e-01, 2.241673874126497434e+00, -1.062199803544407928e+01, 1.471087416460159325e+01, -3.069756700409104155e+01, -5.983378191041664351e+00, -5.007529399342678289e+01, -4.364202339866255898e+01, -9.085098983172191822e+01, -2.254606841230094574e+02, 1.148097835371654128e+03, -1.922733562208383091e+02, -1.065978028173350509e+02, -1.962217434657499098e+02, -1.599876911424758816e+02 -1.199311143142465452e+00, 5.820639936374811363e+00, -1.044367355504924966e+01, 1.689648844234901759e+01, 8.261073520031354533e+00, -4.040895767775982250e+01, -5.718203659485173063e+01, -3.990666104612432719e+01, -6.383671690719521052e+01, -1.318274206103063477e+02, -1.922733562208388491e+02, 1.346992739306203021e+03, -3.353867684587323765e+02, -2.914292049495714991e+02, -1.691945953145673514e+02 -4.000432267730604785e+00, 7.468439644416764445e+00, 1.737452037456426623e+00, -7.353796696810863676e-01, -1.113798397730185563e+01, -2.166125090846997026e+01, 1.598170488003149892e+01, -5.743432069266832229e+01, -8.219404999241771748e+01, -6.802836272464909939e+01, -1.065978028173356478e+02, -3.353867684587323765e+02, 1.658032289280038867e+03, -4.891509713104820776e+02, -4.509462905180130292e+02 -5.435261753054482448e+00, 7.758397188657498944e+00, 1.837245143894538302e+01, -1.794515313028935921e+01, 1.658695914539472582e+01, 2.109550025530445438e+01, 3.671407650721123073e+00, -6.447308291175333750e+01, -7.740434627685128532e+01, -1.237027780599166960e+02, -1.962217434657488297e+02, -2.914292049495724655e+02, -4.891509713104821913e+02, 1.968766833934020951e+03, -7.487676671774647730e+02 -1.398804986148058660e+01, 3.150527907549008688e+01, 2.380318928250313704e+01, 4.022868908710138247e-01, 3.495741522761925957e+00, 2.257620994159560723e+01, -2.346921651190100633e+01, 5.563786680335169876e+01, -7.557358045335232077e+01, -1.261703550202330035e+02, -1.599876911424755406e+02, -1.691945953145671240e+02, -4.509462905180128018e+02, -7.487676671774645456e+02, 1.712756165750838591e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE176 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE176 deleted file mode 100644 index f9c1b355..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE176 +++ /dev/null @@ -1,15 +0,0 @@ -2.617192224273816947e+01, 2.432388200028045944e+01, 1.239709180510994102e+01, 1.846939494551964600e+00, 7.839058496105509199e+00, -6.301476961869577842e+00, 4.429480984788187747e-01, 3.537202550224664011e-01, -8.883074461877114913e+00, -8.972799855194455887e+00, -5.144795334670176246e+00, 1.043045882003427671e+01, 1.484051123807198813e+01, 1.287400854275263917e+01, 1.485694872062336280e+01 -2.432388200028045944e+01, 5.133281497914385483e+01, 4.018252844825937586e+00, -5.791805494407374688e+00, 5.872040574630794652e+00, -7.849070718416055747e+00, -5.996118754152393926e+00, -3.200962989320926155e+00, -1.416027451427461692e+01, -8.818806847989987929e+00, -8.976685594987893424e+00, 1.074890887982226495e+01, 1.474690010266104423e+01, 2.767265068325387034e+01, 2.265892822795685646e+01 -1.239709180510993747e+01, 4.018252844825944692e+00, 7.321798887485226714e+01, -1.212726561965978078e+01, -1.170505461104295009e+01, -9.106427329328441900e+00, -4.879237874339007242e+00, -2.518401562663624560e+01, -2.104417062061289201e+00, -1.290136209543158508e+01, -1.207639378844463485e+00, -1.059440040075554812e+01, 1.621032714071749936e+01, 1.432589501466884840e+01, 2.324573860956324722e+01 -1.846939494551964822e+00, -5.791805494407375576e+00, -1.212726561965978611e+01, 9.922836241516279188e+01, -3.956010394089300775e+01, -2.725064208943534627e+00, -4.812020402685933007e+00, 1.470181459316017181e+00, -2.833949007994095837e+01, -1.004136237579222168e+01, -1.616413202381353997e+01, -5.046305707632749993e+00, 1.915548930960986951e+01, 3.841187977719211943e+00, 1.126238311718719842e+01 -7.839058496105501206e+00, 5.872040574630789322e+00, -1.170505461104294653e+01, -3.956010394089301485e+01, 2.062839584873836714e+02, -6.638397470539082690e+01, -2.875049804465983172e+01, -1.039296611673577431e+01, -9.388008031452157454e+00, -3.632034680892310519e+01, -3.823775010766348625e+00, 3.276699523132314340e+01, -9.698888260116993010e+00, -3.088121382054515962e+01, 1.310333700348644648e+01 --6.301476961869581395e+00, -7.849070718416066406e+00, -9.106427329328441900e+00, -2.725064208943513311e+00, -6.638397470539085532e+01, 3.041959096293213065e+02, -7.306276321358399173e+01, -4.453057310382216372e+01, -4.787730746560148987e+01, -4.119642353887753927e+01, -7.948398564113294817e+00, 3.131438419748039603e+00, -2.227336002073578314e+01, 1.288380867113856176e+01, 6.631486072165745371e-01 -4.429480984788195519e-01, -5.996118754152386821e+00, -4.879237874339008130e+00, -4.812020402685921461e+00, -2.875049804465983172e+01, -7.306276321358394910e+01, 4.217502682732025505e+02, -1.028023601010952603e+02, -8.209094447561230368e+01, -3.870695792892261267e+01, -3.140056377724665637e+01, -3.712507657078144518e+01, -2.897706185494239506e+01, 5.944011021799774142e+00, 8.144890792493665543e+00 -3.537202550224770037e-01, -3.200962989320915053e+00, -2.518401562663622428e+01, 1.470181459316001416e+00, -1.039296611673567128e+01, -4.453057310382214951e+01, -1.028023601010951467e+02, 5.628674448439236357e+02, -1.529816852640210811e+02, -7.189174275721656215e+01, -4.397141467627693601e+01, -6.991261329028144189e+01, -4.857483459048435748e+01, -9.226885916450488168e+00, 1.654527742768354415e+01 --8.883074461877145112e+00, -1.416027451427467021e+01, -2.104417062061310073e+00, -2.833949007994092639e+01, -9.388008031452173441e+00, -4.787730746560140460e+01, -8.209094447561253105e+01, -1.529816852640209675e+02, 8.401442471854294354e+02, -1.732004368055121120e+02, -1.059835512645833546e+02, -5.303132048969339252e+01, -7.350079517910980087e+01, -9.603120624394686899e+01, -1.448959052275422010e+01 --8.972799855194427465e+00, -8.818806847989973718e+00, -1.290136209543157264e+01, -1.004136237579226965e+01, -3.632034680892313361e+01, -4.119642353887770270e+01, -3.870695792892237819e+01, -7.189174275721622109e+01, -1.732004368055119130e+02, 1.037499667549413516e+03, -1.722736629011995149e+02, -1.437257857661820140e+02, -1.109617220648474216e+02, -1.290845869975687776e+02, -8.317937361019076548e+01 --5.144795334670136278e+00, -8.976685594987849015e+00, -1.207639378844424627e+00, -1.616413202381351155e+01, -3.823775010766261140e+00, -7.948398564113584364e+00, -3.140056377724644676e+01, -4.397141467627685074e+01, -1.059835512645840652e+02, -1.722736629011986054e+02, 1.136803104683464426e+03, -1.998172515804406828e+02, -2.058923217761256126e+02, -1.323111336332691792e+02, -1.952273189418028494e+02 -1.043045882003417368e+01, 1.074890887982215837e+01, -1.059440040075560674e+01, -5.046305707632815718e+00, 3.276699523132305103e+01, 3.131438419748123536e+00, -3.712507657078151624e+01, -6.991261329028154137e+01, -5.303132048969273882e+01, -1.437257857661821561e+02, -1.998172515804400859e+02, 1.259178118310913305e+03, -2.368002821558284552e+02, -2.216740055987275468e+02, -2.592106888177368660e+02 -1.484051123807196504e+01, 1.474690010266102291e+01, 1.621032714071754555e+01, 1.915548930960981266e+01, -9.698888260117099591e+00, -2.227336002073587196e+01, -2.897706185494198294e+01, -4.857483459048460617e+01, -7.350079517910995719e+01, -1.109617220648469953e+02, -2.058923217761252431e+02, -2.368002821558297342e+02, 1.650100396628474755e+03, -4.735784116366538115e+02, -4.315068411022429586e+02 -1.287400854275270312e+01, 2.767265068325392718e+01, 1.432589501466877380e+01, 3.841187977719364710e+00, -3.088121382054518094e+01, 1.288380867113859907e+01, 5.944011021799243011e+00, -9.226885916450076053e+00, -9.603120624394688321e+01, -1.290845869975682945e+02, -1.323111336332702308e+02, -2.216740055987260121e+02, -4.735784116366537546e+02, 1.805033873771080835e+03, -7.024215734249748948e+02 -1.485694872062333971e+01, 2.265892822795689199e+01, 2.324573860956328986e+01, 1.126238311718718244e+01, 1.310333700348652108e+01, 6.631486072168988333e-01, 8.144890792493576726e+00, 1.654527742768322440e+01, -1.448959052275433201e+01, -8.317937361019180287e+01, -1.952273189418028210e+02, -2.592106888177361270e+02, -4.315068411022436976e+02, -7.024215734249737579e+02, 1.670458147095655249e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE190 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE190 deleted file mode 100644 index 32f3cfb7..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE190 +++ /dev/null @@ -1,15 +0,0 @@ -3.171647024217163846e+01, 3.217742910131507728e+01, 8.808918941860303775e+00, -8.830777758841871217e-01, 8.321110399601128194e+00, -4.054719693885420639e+00, 4.181299215574441619e-01, 3.698630152264323012e+00, 2.929597885084343378e+00, 6.236147310150481182e+00, -2.350783391308755910e+00, -2.681752694156708916e+00, 9.709534355578044895e+00, 3.558279723785449988e+00, 1.763698286062399845e+01 -3.217742910131507017e+01, 5.996271708914518683e+01, 3.507619047537930523e+00, -4.172860521686843072e+00, 1.265184662073938782e+01, -1.658996783146799991e+00, 5.132989211589392475e+00, 4.545000625600444266e+00, 2.047534150859977586e+00, 8.759395067662874013e-01, 8.797499730845166621e-02, 4.179932985391854317e+00, 6.673402595269007698e+00, -3.367687385418554058e+00, 1.027606811685356725e+01 -8.808918941860305551e+00, 3.507619047537930967e+00, 5.610427411842373147e+01, -8.437174319677682277e+00, -1.228795952558913163e+00, -1.560550115992192133e+01, -2.270097176414969553e+01, -1.065818903053769162e+01, -1.483945056447530852e+01, 6.665500324144005839e-01, -2.530724576125607528e-01, -4.827125537294830515e+00, 9.377163123989015858e+00, -1.209565019557883869e-01, 3.437303987140985839e+01 --8.830777758841868996e-01, -4.172860521686845736e+00, -8.437174319677687606e+00, 1.051607646237575864e+02, -4.059348085223444969e+01, 1.649426860992861732e+00, -1.682475276809266163e+01, 1.094035874185003188e+01, -1.723810480292185332e+01, -1.595777253897748160e+00, -1.125380069363343694e+01, 5.317182683444172220e+00, -5.788094543207611409e+00, -5.681497444023244192e+00, 1.931412866378082516e+00 -8.321110399601122865e+00, 1.265184662073938249e+01, -1.228795952558911830e+00, -4.059348085223444258e+01, 2.072327639090188711e+02, -6.003101755147614682e+01, -1.399921704920492971e+01, -3.942936340330042100e+01, -1.563524996875320028e+01, -1.049324300071289606e+01, -1.783589909135279328e+01, -2.225901532125552507e+01, 1.396416287073272855e+01, 4.005216261161421265e+00, 7.921685983111359519e+00 --4.054719693885416198e+00, -1.658996783146805098e+00, -1.560550115992190001e+01, 1.649426860992856847e+00, -6.003101755147612550e+01, 3.201491334811391312e+02, -6.048840846661872206e+01, -6.522934450558078368e+01, -6.929299429458450277e+01, -3.943352280099262686e+01, -3.047623846669670566e+00, -1.529000493963714646e+01, 9.294723417639582763e+00, 2.765052349256476205e+01, -4.514531612525020421e+01 -4.181299215574517114e-01, 5.132989211589395140e+00, -2.270097176414969553e+01, -1.682475276809266518e+01, -1.399921704920493148e+01, -6.048840846661880022e+01, 4.219537443518591431e+02, -8.358779882997814070e+01, -3.545350525546771081e+01, -6.471922190526301222e+01, -4.131823147434320731e+01, 1.121070394008048332e+01, -6.246703301053616997e+01, 1.325118075184982835e+01, -4.142350583824580212e+01 -3.698630152264338999e+00, 4.545000625600458477e+00, -1.065818903053769873e+01, 1.094035874185002299e+01, -3.942936340330042810e+01, -6.522934450558082631e+01, -8.358779882997819755e+01, 5.554675010297856943e+02, -1.041876181352581199e+02, -6.900700536687918429e+01, -4.899410674518387765e+01, -2.593955466651838648e+01, -1.768904358096191842e+01, -5.473339355504829484e+01, -3.121927858722879634e+01 -2.929597885084337161e+00, 2.047534150859979807e+00, -1.483945056447531918e+01, -1.723810480292186398e+01, -1.563524996875318251e+01, -6.929299429458440329e+01, -3.545350525546770371e+01, -1.041876181352581057e+02, 8.253983899934993360e+02, -1.654504662801935808e+02, -9.890197246714264168e+01, -7.947051596897848924e+01, -1.025298261463810263e+02, -4.026111138561131497e+01, -6.687051847811672189e+01 -6.236147310150485623e+00, 8.759395067662759660e-01, 6.665500324144040256e-01, -1.595777253897718406e+00, -1.049324300071292626e+01, -3.943352280099249896e+01, -6.471922190526315433e+01, -6.900700536687918429e+01, -1.654504662801937798e+02, 1.010972409406669954e+03, -1.496641764030073318e+02, -1.560144973845890490e+02, -1.103241129849074866e+02, -1.594822595799530802e+02, -4.475416072849709792e+01 --2.350783391308768788e+00, 8.797499730844833554e-02, -2.530724576125820136e-01, -1.125380069363341740e+01, -1.783589909135287144e+01, -3.047623846669437864e+00, -4.131823147434317178e+01, -4.899410674518398423e+01, -9.890197246714289747e+01, -1.496641764030073034e+02, 1.124187198403670209e+03, -2.034251865308536651e+02, -2.450865762286636311e+02, -1.173399250522563619e+02, -1.446393118570420029e+02 --2.681752694156741335e+00, 4.179932985391831224e+00, -4.827125537294843838e+00, 5.317182683444214852e+00, -2.225901532125566007e+01, -1.529000493963720864e+01, 1.121070394008051352e+01, -2.593955466651831898e+01, -7.947051596897816239e+01, -1.560144973845888217e+02, -2.034251865308534946e+02, 1.217140030333071536e+03, -2.665607994604139890e+02, -1.967437535185871411e+02, -2.532903825465961631e+02 -9.709534355578048448e+00, 6.673402595269025461e+00, 9.377163123988999871e+00, -5.788094543207682463e+00, 1.396416287073278362e+01, 9.294723417639549012e+00, -6.246703301053585022e+01, -1.768904358096243357e+01, -1.025298261463806000e+02, -1.103241129849075719e+02, -2.450865762286636311e+02, -2.665607994604129090e+02, 1.697602257526583116e+03, -4.881953097277824440e+02, -3.877552433569460391e+02 -3.558279723785435333e+00, -3.367687385418582924e+00, -1.209565019558097032e-01, -5.681497444023298371e+00, 4.005216261161556268e+00, 2.765052349256427888e+01, 1.325118075184980526e+01, -5.473339355504759851e+01, -4.026111138561071101e+01, -1.594822595799536202e+02, -1.173399250522573709e+02, -1.967437535185872832e+02, -4.881953097277826146e+02, 1.838464945280131133e+03, -7.328537538986474829e+02 -1.763698286062401976e+01, 1.027606811685359212e+01, 3.437303987140991524e+01, 1.931412866378105608e+00, 7.921685983111397711e+00, -4.514531612524991289e+01, -4.142350583824619292e+01, -3.121927858722903082e+01, -6.687051847811751770e+01, -4.475416072849694871e+01, -1.446393118570411502e+02, -2.532903825465965326e+02, -3.877552433569447885e+02, -7.328537538986483924e+02, 1.791393004403459599e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE205 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE205 deleted file mode 100644 index dda7d33c..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/invCovLogE_RE205 +++ /dev/null @@ -1,15 +0,0 @@ -2.862399539635812928e+01, 2.883226555478620412e+01, 1.145108900751565528e+01, 9.931664019187680381e+00, -5.566595429587428256e+00, -6.561473829772498156e+00, -2.069250720659818743e+00, -6.770667035406112255e+00, -8.415176266720829190e+00, -2.026061317564388453e+00, -8.866473487622251071e+00, 1.897238006875515381e+01, 4.886629866570669556e+00, 1.593058920385225363e+01, 2.463011667017894268e+01 -2.883226555478618991e+01, 6.481166933854835577e+01, 6.381600336146546759e+00, 1.216223843119393777e+01, -3.005137749732319286e+00, -1.385939003396918778e+01, -2.764780375358747655e+00, -1.664841289828700255e+01, -9.529915787532644345e+00, -1.515408546197766704e+01, 5.085971578258148273e-01, 2.257217592707094056e+01, 2.359011521787154564e+00, 1.541352301637886413e+01, 3.247689321774124238e+01 -1.145108900751565351e+01, 6.381600336146544983e+00, 7.020371400465828060e+01, -1.424332691417265018e+01, -1.281006508673238642e+01, -1.211417132633694926e+01, -1.609860771981856287e+00, -1.904769639486213195e-01, -3.321773731786279171e+01, -1.170116273619065872e+01, -1.456645262130103369e+01, 2.839211339056995520e+00, 9.314550920382984600e+00, 2.527946017264573442e+01, 2.462440205878773369e+01 -9.931664019187683934e+00, 1.216223843119394488e+01, -1.424332691417265728e+01, 1.193219991797624431e+02, -3.090524879627637844e+01, -3.176365423532707410e+01, -2.605592608266069021e+01, -2.121951887032150807e+01, -8.549166360909516982e+00, 3.323253037524708020e+00, -4.042653381779957300e+01, -4.484873314002784106e+00, 1.782873073099874617e+01, 4.483836873744890816e+00, 9.946383129574476456e+00 --5.566595429587435362e+00, -3.005137749732326835e+00, -1.281006508673239175e+01, -3.090524879627638910e+01, 1.989971865412219643e+02, -5.268413407720755259e+01, -2.959202787432139914e+01, -2.174902179217612996e+01, -1.302609183039441909e+01, 3.454926298458243838e+00, -7.806862960571467447e+00, -1.937922517997496641e+01, -2.158301037438660686e+01, -1.212867257166480917e+00, 1.503136188597554401e+01 --6.561473829772483946e+00, -1.385939003396917890e+01, -1.211417132633694393e+01, -3.176365423532708476e+01, -5.268413407720753838e+01, 3.429558233594852368e+02, -5.633986498482232008e+01, -5.200153723531311556e+01, -3.331789499983368330e+01, -5.411111963745167230e+01, 1.184160615699623720e-01, -1.788069357038672891e+01, 9.291238203978387844e+00, -2.999848008431554192e+01, 2.382003017406431500e+00 --2.069250720659820075e+00, -2.764780375358756537e+00, -1.609860771981888483e+00, -2.605592608266066179e+01, -2.959202787432141335e+01, -5.633986498482229877e+01, 4.302123376169398625e+02, -8.720563179469598936e+01, -6.199700783645415925e+01, -5.686252757729936747e+01, -1.577621122383646934e+01, -9.601106051635310834e+00, -5.728208185391009977e+01, 7.194389949852091348e+00, -1.932123442069317676e+01 --6.770667035406126466e+00, -1.664841289828700255e+01, -1.904769639486216526e-01, -2.121951887032160400e+01, -2.174902179217613707e+01, -5.200153723531300898e+01, -8.720563179469604620e+01, 5.926532661596444314e+02, -1.019410313632865694e+02, -9.587139689835994716e+01, -2.947383296408735731e+01, -4.149863267573623204e+01, -3.782056420933524521e+01, -5.008505718117838512e+01, -6.454978882552583741e+01 --8.415176266720816756e+00, -9.529915787532642568e+00, -3.321773731786274197e+01, -8.549166360909545404e+00, -1.302609183039445284e+01, -3.331789499983357672e+01, -6.199700783645413793e+01, -1.019410313632866831e+02, 7.659828142820309722e+02, -1.609555719159396006e+02, -7.769627535833522813e+01, -4.319014011600815905e+01, -5.375617075131571454e+01, -5.896003652984041565e+01, -1.043999549000808997e+02 --2.026061317564424868e+00, -1.515408546197769368e+01, -1.170116273619069602e+01, 3.323253037524772857e+00, 3.454926298458257605e+00, -5.411111963745172915e+01, -5.686252757729936747e+01, -9.587139689835963452e+01, -1.609555719159399700e+02, 9.895460714567634568e+02, -2.021316042146060568e+02, -1.710178131619634314e+02, -1.384374792054583452e+02, -7.086974405365252494e+01, -5.110153342599001292e+01 --8.866473487622263505e+00, 5.085971578257969528e-01, -1.456645262130097684e+01, -4.042653381779963695e+01, -7.806862960571486987e+00, 1.184160615698530011e-01, -1.577621122383663277e+01, -2.947383296408763442e+01, -7.769627535833508603e+01, -2.021316042146062557e+02, 1.229986967459256221e+03, -2.365979513519080797e+02, -1.872342897491018903e+02, -2.285636988171821429e+02, -1.433809604719114930e+02 -1.897238006875520711e+01, 2.257217592707095832e+01, 2.839211339057010175e+00, -4.484873314002799205e+00, -1.937922517997501259e+01, -1.788069357038648732e+01, -9.601106051635113658e+00, -4.149863267573662995e+01, -4.319014011600817327e+01, -1.710178131619637725e+02, -2.365979513519083355e+02, 1.274671210915520987e+03, -2.857274212456404712e+02, -1.834556789294778696e+02, -1.827801429010052914e+02 -4.886629866570705971e+00, 2.359011521787178989e+00, 9.314550920383050325e+00, 1.782873073099878525e+01, -2.158301037438659620e+01, 9.291238203978116061e+00, -5.728208185391019214e+01, -3.782056420933498941e+01, -5.375617075131496136e+01, -1.384374792054584304e+02, -1.872342897491030840e+02, -2.857274212456410964e+02, 1.559137336991052280e+03, -4.080460181973017484e+02, -3.779883779366594467e+02 -1.593058920385223942e+01, 1.541352301637885525e+01, 2.527946017264569534e+01, 4.483836873745020490e+00, -1.212867257166626800e+00, -2.999848008431539625e+01, 7.194389949852031840e+00, -5.008505718117805827e+01, -5.896003652983997512e+01, -7.086974405365249652e+01, -2.285636988171819439e+02, -1.834556789294780970e+02, -4.080460181973026579e+02, 1.785711810156223009e+03, -7.093129733986389738e+02 -2.463011667017890716e+01, 3.247689321774124238e+01, 2.462440205878769817e+01, 9.946383129574387638e+00, 1.503136188597567191e+01, 2.382003017406205458e+00, -1.932123442069293162e+01, -6.454978882552602215e+01, -1.043999549000818945e+02, -5.110153342598957948e+01, -1.433809604719106972e+02, -1.827801429010050356e+02, -3.779883779366597878e+02, -7.093129733986388601e+02, 1.679371464493681970e+03 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE060 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE060 deleted file mode 100644 index 79d789d7..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE060 +++ /dev/null @@ -1,12 +0,0 @@ -eps 2.155825e+01 -nu 4.638596e-02 -dt 1.163182e-04 8.612148e-06 -tKinEn 2.175686e+01 9.301554e-01 -epsVis 2.180062e+01 2.031032e+00 -epsTot 2.203187e+01 2.062336e+00 -lInteg 5.797366e-01 2.939629e-02 -tInteg 1.522996e-01 7.861056e-03 -avg_Du 1.962825e+01 8.704524e-01 -std_Du 9.146813e+00 5.489214e-01 -ReLamd 5.617596e+01 -logPdenom 1.882880e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE065 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE065 deleted file mode 100644 index 1b55f063..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE065 +++ /dev/null @@ -1,12 +0,0 @@ -eps 2.430841e+01 -nu 4.113802e-02 -dt 1.075618e-04 8.423281e-06 -tKinEn 2.392939e+01 1.156965e+00 -epsVis 2.462652e+01 2.393030e+00 -epsTot 2.494136e+01 2.433115e+00 -lInteg 5.702281e-01 2.969816e-02 -tInteg 1.428588e-01 7.597998e-03 -avg_Du 2.206889e+01 1.032542e+00 -std_Du 1.049463e+01 6.335417e-01 -ReLamd 6.178542e+01 -logPdenom 1.870402e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE070 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE070 deleted file mode 100644 index ec68461c..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE070 +++ /dev/null @@ -1,12 +0,0 @@ -eps 2.716650e+01 -nu 3.681005e-02 -dt 1.023644e-04 7.008453e-06 -tKinEn 2.595513e+01 1.261304e+00 -epsVis 2.743896e+01 2.702104e+00 -epsTot 2.786137e+01 2.760753e+00 -lInteg 5.602068e-01 3.250688e-02 -tInteg 1.347487e-01 7.735115e-03 -avg_Du 2.455943e+01 1.176943e+00 -std_Du 1.184907e+01 6.925070e-01 -ReLamd 6.701586e+01 -logPdenom 1.874761e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE076 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE076 deleted file mode 100644 index 65c66556..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE076 +++ /dev/null @@ -1,12 +0,0 @@ -eps 3.073314e+01 -nu 3.253816e-02 -dt 9.655562e-05 6.478503e-06 -tKinEn 2.833038e+01 1.349279e+00 -epsVis 3.072865e+01 3.248543e+00 -epsTot 3.130948e+01 3.335352e+00 -lInteg 5.523931e-01 3.165917e-02 -tInteg 1.271786e-01 7.278169e-03 -avg_Du 2.754309e+01 1.395417e+00 -std_Du 1.353261e+01 8.380709e-01 -ReLamd 7.314873e+01 -logPdenom 1.874838e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE082 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE082 deleted file mode 100644 index b75535b6..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE082 +++ /dev/null @@ -1,12 +0,0 @@ -eps 3.444351e+01 -nu 2.903305e-02 -dt 9.062775e-05 6.324871e-06 -tKinEn 3.098386e+01 1.484261e+00 -epsVis 3.425394e+01 3.498620e+00 -epsTot 3.504606e+01 3.612655e+00 -lInteg 5.495036e-01 3.615687e-02 -tInteg 1.209729e-01 7.938007e-03 -avg_Du 3.068580e+01 1.520145e+00 -std_Du 1.533066e+01 9.381148e-01 -ReLamd 7.999998e+01 -logPdenom 1.865944e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE088 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE088 deleted file mode 100644 index 45e93150..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE088 +++ /dev/null @@ -1,12 +0,0 @@ -eps 3.829222e+01 -nu 2.611496e-02 -dt 8.572582e-05 6.309646e-06 -tKinEn 3.318318e+01 1.651146e+00 -epsVis 3.806567e+01 3.806332e+00 -epsTot 3.913355e+01 3.963741e+00 -lInteg 5.364466e-01 3.220920e-02 -tInteg 1.141123e-01 6.656591e-03 -avg_Du 3.402637e+01 1.645284e+00 -std_Du 1.720811e+01 1.003986e+00 -ReLamd 8.567860e+01 -logPdenom 1.873464e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE095 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE095 deleted file mode 100644 index b821a9ff..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE095 +++ /dev/null @@ -1,12 +0,0 @@ -eps 4.295087e+01 -nu 2.328242e-02 -dt 8.143649e-05 6.012512e-06 -tKinEn 3.582870e+01 1.700181e+00 -epsVis 4.199021e+01 4.178414e+00 -epsTot 4.345431e+01 4.389756e+00 -lInteg 5.326710e-01 3.561019e-02 -tInteg 1.090338e-01 6.992027e-03 -avg_Du 3.776166e+01 1.831196e+00 -std_Du 1.931365e+01 1.116753e+00 -ReLamd 9.250930e+01 -logPdenom 1.882644e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE103 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE103 deleted file mode 100644 index 71a05558..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE103 +++ /dev/null @@ -1,12 +0,0 @@ -eps 4.848891e+01 -nu 2.062327e-02 -dt 7.648405e-05 5.470164e-06 -tKinEn 3.953834e+01 2.138542e+00 -epsVis 4.722088e+01 4.544552e+00 -epsTot 4.933280e+01 4.833845e+00 -lInteg 5.312641e-01 3.724887e-02 -tInteg 1.035308e-01 6.903836e-03 -avg_Du 4.241837e+01 2.017137e+00 -std_Du 2.202050e+01 1.200813e+00 -ReLamd 1.020876e+02 -logPdenom 1.883944e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE111 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE111 deleted file mode 100644 index 3c31d8da..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE111 +++ /dev/null @@ -1,12 +0,0 @@ -eps 5.424641e+01 -nu 1.843440e-02 -dt 7.186984e-05 5.211688e-06 -tKinEn 4.262484e+01 1.852083e+00 -epsVis 5.192183e+01 4.465611e+00 -epsTot 5.483099e+01 4.829527e+00 -lInteg 5.283971e-01 3.509367e-02 -tInteg 9.913692e-02 6.066463e-03 -avg_Du 4.694763e+01 1.987182e+00 -std_Du 2.463987e+01 1.222683e+00 -ReLamd 1.100569e+02 -logPdenom 1.886408e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE120 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE120 deleted file mode 100644 index 6498437d..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE120 +++ /dev/null @@ -1,12 +0,0 @@ -eps 6.097593e+01 -nu 1.639991e-02 -dt 6.822425e-05 4.612276e-06 -tKinEn 4.642729e+01 2.338314e+00 -epsVis 5.738434e+01 4.767465e+00 -epsTot 6.150467e+01 5.266057e+00 -lInteg 5.274328e-01 3.502178e-02 -tInteg 9.482239e-02 5.615392e-03 -avg_Du 5.223333e+01 2.139047e+00 -std_Du 2.764852e+01 1.312455e+00 -ReLamd 1.198747e+02 -logPdenom 1.922984e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE130 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE130 deleted file mode 100644 index 3b303378..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE130 +++ /dev/null @@ -1,12 +0,0 @@ -eps 6.875457e+01 -nu 1.454449e-02 -dt 6.434397e-05 4.653019e-06 -tKinEn 5.048878e+01 2.321525e+00 -epsVis 6.417122e+01 5.464035e+00 -epsTot 7.019163e+01 6.217443e+00 -lInteg 5.210753e-01 3.312946e-02 -tInteg 8.984866e-02 5.480429e-03 -avg_Du 5.850359e+01 2.423133e+00 -std_Du 3.132240e+01 1.610316e+00 -ReLamd 1.303615e+02 -logPdenom 1.919519e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE140 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE140 deleted file mode 100644 index fe804e3b..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE140 +++ /dev/null @@ -1,12 +0,0 @@ -eps 7.683845e+01 -nu 1.301432e-02 -dt 6.088716e-05 4.427862e-06 -tKinEn 5.470033e+01 2.474114e+00 -epsVis 6.957899e+01 5.625409e+00 -epsTot 7.783574e+01 6.601485e+00 -lInteg 5.245151e-01 3.261136e-02 -tInteg 8.687182e-02 4.870867e-03 -avg_Du 6.432913e+01 2.531947e+00 -std_Du 3.462679e+01 1.680688e+00 -ReLamd 1.412356e+02 -logPdenom 1.935314e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE151 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE151 deleted file mode 100644 index b3d2be8a..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE151 +++ /dev/null @@ -1,12 +0,0 @@ -eps 8.607004e+01 -nu 1.161845e-02 -dt 5.784561e-05 4.107566e-06 -tKinEn 5.883130e+01 2.990271e+00 -epsVis 7.578813e+01 6.554382e+00 -epsTot 8.728826e+01 7.985721e+00 -lInteg 5.197880e-01 3.736801e-02 -tInteg 8.302188e-02 5.526164e-03 -avg_Du 7.098364e+01 3.010071e+00 -std_Du 3.836567e+01 1.921504e+00 -ReLamd 1.519018e+02 -logPdenom 1.916410e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE163 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE163 deleted file mode 100644 index 41cf0ebd..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE163 +++ /dev/null @@ -1,12 +0,0 @@ -eps 9.653126e+01 -nu 1.035934e-02 -dt 5.511413e-05 3.617448e-06 -tKinEn 6.449435e+01 3.650833e+00 -epsVis 8.129117e+01 6.544693e+00 -epsTot 9.698393e+01 8.341845e+00 -lInteg 5.277889e-01 3.474978e-02 -tInteg 8.050975e-02 4.548564e-03 -avg_Du 7.785745e+01 3.075839e+00 -std_Du 4.210189e+01 1.897479e+00 -ReLamd 1.665237e+02 -logPdenom 1.933051e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE176 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE176 deleted file mode 100644 index 0888d029..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE176 +++ /dev/null @@ -1,12 +0,0 @@ -eps 1.083068e+02 -nu 9.233034e-03 -dt 5.240681e-05 3.802647e-06 -tKinEn 6.973053e+01 3.099126e+00 -epsVis 8.772415e+01 7.601111e+00 -epsTot 1.094087e+02 1.027230e+01 -lInteg 5.239845e-01 3.663587e-02 -tInteg 7.687565e-02 5.158439e-03 -avg_Du 8.559858e+01 3.584586e+00 -std_Du 4.642885e+01 2.359623e+00 -ReLamd 1.800434e+02 -logPdenom 1.919423e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE190 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE190 deleted file mode 100644 index fc8babef..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE190 +++ /dev/null @@ -1,12 +0,0 @@ -eps 1.214834e+02 -nu 8.231577e-03 -dt 4.995456e-05 3.509945e-06 -tKinEn 7.525150e+01 3.477685e+00 -epsVis 9.310456e+01 6.980208e+00 -epsTot 1.221056e+02 1.001207e+01 -lInteg 5.279564e-01 3.564899e-02 -tInteg 7.454816e-02 4.523035e-03 -avg_Du 9.345656e+01 3.474712e+00 -std_Du 5.059065e+01 2.117217e+00 -ReLamd 1.942985e+02 -logPdenom 1.939213e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE205 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE205 deleted file mode 100644 index db8f2949..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/scalars_RE205 +++ /dev/null @@ -1,12 +0,0 @@ -eps 1.361499e+02 -nu 7.344845e-03 -dt 4.806424e-05 3.375864e-06 -tKinEn 8.108556e+01 3.665798e+00 -epsVis 9.835364e+01 7.879271e+00 -epsTot 1.368083e+02 1.221796e+01 -lInteg 5.236341e-01 3.490220e-02 -tInteg 7.123823e-02 4.468544e-03 -avg_Du 1.017601e+02 3.983056e+00 -std_Du 5.489186e+01 2.544732e+00 -ReLamd 2.093620e+02 -logPdenom 1.948343e+00 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE060 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE060 deleted file mode 100644 index d58b1448..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE060 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.617659489947812945e+00 -2.000000000000000000e+00, 1.922569443028270042e+00 -3.000000000000000000e+00, 1.403444729614433228e+00 -4.000000000000000000e+00, 6.355862584814031546e-01 -5.000000000000000000e+00, 2.984942690255226738e-01 -6.000000000000000000e+00, -1.644087947894155577e-01 -7.000000000000000000e+00, -7.990065605370388901e-01 -8.000000000000000000e+00, -1.178116083986887386e+00 -9.000000000000000000e+00, -1.549652263308225031e+00 -1.000000000000000000e+01, -1.973360169275179432e+00 -1.100000000000000000e+01, -2.524245857637242185e+00 -1.200000000000000000e+01, -2.930702668137731504e+00 -1.300000000000000000e+01, -3.184853121438212753e+00 -1.400000000000000000e+01, -3.564620648208132625e+00 -1.500000000000000000e+01, -4.006975469032387771e+00 -1.600000000000000000e+01, -4.337948467478496717e+00 -1.700000000000000000e+01, -4.655242437603289041e+00 -1.800000000000000000e+01, -4.985872179713279451e+00 -1.900000000000000000e+01, -5.371471578328788965e+00 -2.000000000000000000e+01, -5.624126298469368734e+00 -2.100000000000000000e+01, -6.014298728017370088e+00 -2.200000000000000000e+01, -6.253817654280552141e+00 -2.300000000000000000e+01, -6.614639597619650146e+00 -2.400000000000000000e+01, -6.930862660993553526e+00 -2.500000000000000000e+01, -7.232134124680836607e+00 -2.600000000000000000e+01, -7.538936276179226681e+00 -2.700000000000000000e+01, -7.836116217855317423e+00 -2.800000000000000000e+01, -8.121572927849639356e+00 -2.900000000000000000e+01, -8.410198463293031779e+00 -3.000000000000000000e+01, -8.685975956301243528e+00 -3.100000000000000000e+01, -9.012814733306578674e+00 -3.200000000000000000e+01, -9.295878386592828946e+00 -3.300000000000000000e+01, -9.586280848021896617e+00 -3.400000000000000000e+01, -9.859973912002194751e+00 -3.500000000000000000e+01, -1.013758790762840256e+01 -3.600000000000000000e+01, -1.041235284158570806e+01 -3.700000000000000000e+01, -1.069885021450104645e+01 -3.800000000000000000e+01, -1.097409412464542022e+01 -3.900000000000000000e+01, -1.128221820216857374e+01 -4.000000000000000000e+01, -1.151664927358059920e+01 -4.100000000000000000e+01, -1.181043474713580821e+01 -4.200000000000000000e+01, -1.205810697066290871e+01 -4.300000000000000000e+01, -1.237641776271918914e+01 -4.400000000000000000e+01, -1.261807102707243189e+01 -4.500000000000000000e+01, -1.290713636293133781e+01 -4.600000000000000000e+01, -1.317686358357747167e+01 -4.700000000000000000e+01, -1.344255359706949804e+01 -4.800000000000000000e+01, -1.372708346635986487e+01 -4.900000000000000000e+01, -1.396138979807370895e+01 -5.000000000000000000e+01, -1.424879087286495150e+01 -5.100000000000000000e+01, -1.452122621188831708e+01 -5.200000000000000000e+01, -1.478292457879828881e+01 -5.300000000000000000e+01, -1.504227053410762771e+01 -5.400000000000000000e+01, -1.532512670553865775e+01 -5.500000000000000000e+01, -1.558426877020442269e+01 -5.600000000000000000e+01, -1.584796653375772024e+01 -5.700000000000000000e+01, -1.608745520360791303e+01 -5.800000000000000000e+01, -1.636800976524406082e+01 -5.900000000000000000e+01, -1.662608013173078092e+01 -6.000000000000000000e+01, -1.689757292717822779e+01 -6.100000000000000000e+01, -1.715658008649423394e+01 -6.200000000000000000e+01, -1.740903618748914283e+01 -6.300000000000000000e+01, -1.767556577573916599e+01 -6.400000000000000000e+01, -1.793060949771958335e+01 -6.500000000000000000e+01, -1.819446398398952169e+01 -6.600000000000000000e+01, -1.847054017764914491e+01 -6.700000000000000000e+01, -1.871267947282964883e+01 -6.800000000000000000e+01, -1.897865702135761978e+01 -6.900000000000000000e+01, -1.922991279352783067e+01 -7.000000000000000000e+01, -1.947751003278209581e+01 -7.100000000000000000e+01, -1.976525430291288998e+01 -7.200000000000000000e+01, -1.998833721586483136e+01 -7.300000000000000000e+01, -2.027455176371029921e+01 -7.400000000000000000e+01, -2.051167221374857164e+01 -7.500000000000000000e+01, -2.076884345240597440e+01 -7.600000000000000000e+01, -2.104416963818605169e+01 -7.700000000000000000e+01, -2.127914845773854324e+01 -7.800000000000000000e+01, -2.154909160843075355e+01 -7.900000000000000000e+01, -2.178356628627896541e+01 -8.000000000000000000e+01, -2.206117769113198079e+01 -8.100000000000000000e+01, -2.230296848354367256e+01 -8.200000000000000000e+01, -2.256085184750102712e+01 -8.300000000000000000e+01, -2.281707964449076442e+01 -8.400000000000000000e+01, -2.305752139194357397e+01 -8.500000000000000000e+01, -2.333436230530885069e+01 -8.600000000000000000e+01, -2.356150859718285062e+01 -8.700000000000000000e+01, -2.383104839775344175e+01 -8.800000000000000000e+01, -2.407014744637065462e+01 -8.900000000000000000e+01, -2.432556471819501098e+01 -9.000000000000000000e+01, -2.457680022139043885e+01 -9.100000000000000000e+01, -2.482555598324496771e+01 -9.200000000000000000e+01, -2.507504000339472583e+01 -9.300000000000000000e+01, -2.533295659939220457e+01 -9.400000000000000000e+01, -2.557383798926833762e+01 -9.500000000000000000e+01, -2.582243143065106494e+01 -9.600000000000000000e+01, -2.607129431243324191e+01 -9.700000000000000000e+01, -2.631131033489269555e+01 -9.800000000000000000e+01, -2.655106395728979507e+01 -9.900000000000000000e+01, -2.680898853953142691e+01 -1.000000000000000000e+02, -2.704990778728710055e+01 -1.010000000000000000e+02, -2.728975778950956155e+01 -1.020000000000000000e+02, -2.753051175342597290e+01 -1.030000000000000000e+02, -2.776398644942181093e+01 -1.040000000000000000e+02, -2.800033001553072864e+01 -1.050000000000000000e+02, -2.824398089255817723e+01 -1.060000000000000000e+02, -2.846443262566306487e+01 -1.070000000000000000e+02, -2.869678416853533776e+01 -1.080000000000000000e+02, -2.892178650212444779e+01 -1.090000000000000000e+02, -2.915493927312948585e+01 -1.100000000000000000e+02, -2.936185923322616276e+01 -1.110000000000000000e+02, -2.958967680831753455e+01 -1.120000000000000000e+02, -2.980401171384152192e+01 -1.130000000000000000e+02, -3.000716264832599123e+01 -1.140000000000000000e+02, -3.021118107828692700e+01 -1.150000000000000000e+02, -3.041050169944368164e+01 -1.160000000000000000e+02, -3.061016482938913796e+01 -1.170000000000000000e+02, -3.080233965117081851e+01 -1.180000000000000000e+02, -3.096204331886728767e+01 -1.190000000000000000e+02, -3.116681284101557736e+01 -1.200000000000000000e+02, -3.132623455190758222e+01 -1.210000000000000000e+02, -3.150441174254225984e+01 -1.220000000000000000e+02, -3.166031940376014475e+01 -1.230000000000000000e+02, -3.181054398300178221e+01 -1.240000000000000000e+02, -3.196268304957100881e+01 -1.250000000000000000e+02, -3.210382693048455138e+01 -1.260000000000000000e+02, -3.225500445703263352e+01 -1.270000000000000000e+02, -3.237951828078544025e+01 -1.280000000000000000e+02, -3.250838477432671425e+01 -1.290000000000000000e+02, -3.263647585142869190e+01 -1.300000000000000000e+02, -3.275437153480406494e+01 -1.310000000000000000e+02, -3.286552686336337814e+01 -1.320000000000000000e+02, -3.297996581111370062e+01 -1.330000000000000000e+02, -3.308760686322443689e+01 -1.340000000000000000e+02, -3.319580383911367960e+01 -1.350000000000000000e+02, -3.328410430041569157e+01 -1.360000000000000000e+02, -3.338015275464770326e+01 -1.370000000000000000e+02, -3.347977487904250893e+01 -1.380000000000000000e+02, -3.357424086409777431e+01 -1.390000000000000000e+02, -3.365607244336035819e+01 -1.400000000000000000e+02, -3.374433424210625532e+01 -1.410000000000000000e+02, -3.381974931506699988e+01 -1.420000000000000000e+02, -3.390611492582929998e+01 -1.430000000000000000e+02, -3.398389343693534670e+01 -1.440000000000000000e+02, -3.405746275883482355e+01 -1.450000000000000000e+02, -3.413411630404782926e+01 -1.460000000000000000e+02, -3.420268174076148426e+01 -1.470000000000000000e+02, -3.427933801573583139e+01 -1.480000000000000000e+02, -3.434171563129246607e+01 -1.490000000000000000e+02, -3.441681648718236630e+01 -1.500000000000000000e+02, -3.448423912178518691e+01 -1.510000000000000000e+02, -3.455491169931290329e+01 -1.520000000000000000e+02, -3.460474764186731989e+01 -1.530000000000000000e+02, -3.467238149089360633e+01 -1.540000000000000000e+02, -3.474529791629527153e+01 -1.550000000000000000e+02, -3.479206503156556352e+01 -1.560000000000000000e+02, -3.486151126624329066e+01 -1.570000000000000000e+02, -3.491636544175921131e+01 -1.580000000000000000e+02, -3.497629732675947878e+01 -1.590000000000000000e+02, -3.503334913131008221e+01 -1.600000000000000000e+02, -3.509211311545960399e+01 -1.610000000000000000e+02, -3.514047889948585635e+01 -1.620000000000000000e+02, -3.520645971300753274e+01 -1.630000000000000000e+02, -3.525238507675608446e+01 -1.640000000000000000e+02, -3.530544605633672717e+01 -1.650000000000000000e+02, -3.535871296809504827e+01 -1.660000000000000000e+02, -3.541497672721587975e+01 -1.670000000000000000e+02, -3.545959268471079895e+01 -1.680000000000000000e+02, -3.551690256750736552e+01 -1.690000000000000000e+02, -3.555797310497170116e+01 -1.700000000000000000e+02, -3.561232966976462677e+01 -1.710000000000000000e+02, -3.565879519984846979e+01 -1.720000000000000000e+02, -3.570418702006129053e+01 -1.730000000000000000e+02, -3.576377976792857538e+01 -1.740000000000000000e+02, -3.579581380446889938e+01 -1.750000000000000000e+02, -3.584464214884911115e+01 -1.760000000000000000e+02, -3.588728758328053914e+01 -1.770000000000000000e+02, -3.593721925319619004e+01 -1.780000000000000000e+02, -3.598000202313259877e+01 -1.790000000000000000e+02, -3.601672358909495131e+01 -1.800000000000000000e+02, -3.606403000237142464e+01 -1.810000000000000000e+02, -3.609974765990774159e+01 -1.820000000000000000e+02, -3.614245462146327981e+01 -1.830000000000000000e+02, -3.618407746620943044e+01 -1.840000000000000000e+02, -3.621699139443177984e+01 -1.850000000000000000e+02, -3.625844186791351120e+01 -1.860000000000000000e+02, -3.629221658116954075e+01 -1.870000000000000000e+02, -3.632203791545411775e+01 -1.880000000000000000e+02, -3.636327831120205900e+01 -1.890000000000000000e+02, -3.639827834563244124e+01 -1.900000000000000000e+02, -3.642290910028654594e+01 -1.910000000000000000e+02, -3.645192733436214638e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE065 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE065 deleted file mode 100644 index 60d34e00..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE065 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.708758504452529747e+00 -2.000000000000000000e+00, 1.967039708136023357e+00 -3.000000000000000000e+00, 1.465632316102247312e+00 -4.000000000000000000e+00, 7.307209650350797725e-01 -5.000000000000000000e+00, 4.563492600662612531e-01 -6.000000000000000000e+00, 1.924754712289337977e-02 -7.000000000000000000e+00, -5.761015546845494883e-01 -8.000000000000000000e+00, -9.173430723604536485e-01 -9.000000000000000000e+00, -1.257884358357493015e+00 -1.000000000000000000e+01, -1.643621507541806137e+00 -1.100000000000000000e+01, -2.162954693748280643e+00 -1.200000000000000000e+01, -2.542560183000610596e+00 -1.300000000000000000e+01, -2.768947000868179575e+00 -1.400000000000000000e+01, -3.119961994908119429e+00 -1.500000000000000000e+01, -3.534010129060112693e+00 -1.600000000000000000e+01, -3.840313220029882846e+00 -1.700000000000000000e+01, -4.128967506426233669e+00 -1.800000000000000000e+01, -4.435038392546657882e+00 -1.900000000000000000e+01, -4.794155457152172062e+00 -2.000000000000000000e+01, -5.021881627101139500e+00 -2.100000000000000000e+01, -5.386473166092883957e+00 -2.200000000000000000e+01, -5.599028188449753252e+00 -2.300000000000000000e+01, -5.934050182729265543e+00 -2.400000000000000000e+01, -6.223879793422083750e+00 -2.500000000000000000e+01, -6.499103162590531113e+00 -2.600000000000000000e+01, -6.779525083295021126e+00 -2.700000000000000000e+01, -7.050791544930686605e+00 -2.800000000000000000e+01, -7.309262567606761074e+00 -2.900000000000000000e+01, -7.572015004515510128e+00 -3.000000000000000000e+01, -7.820683329561861186e+00 -3.100000000000000000e+01, -8.120171842679674512e+00 -3.200000000000000000e+01, -8.377141113809731365e+00 -3.300000000000000000e+01, -8.640301661880812389e+00 -3.400000000000000000e+01, -8.888103867874727726e+00 -3.500000000000000000e+01, -9.137993906039282521e+00 -3.600000000000000000e+01, -9.385460685479802834e+00 -3.700000000000000000e+01, -9.644785686789481005e+00 -3.800000000000000000e+01, -9.892150217757446740e+00 -3.900000000000000000e+01, -1.017330360405150813e+01 -4.000000000000000000e+01, -1.037981827679497115e+01 -4.100000000000000000e+01, -1.064569925454697241e+01 -4.200000000000000000e+01, -1.086554723288353941e+01 -4.300000000000000000e+01, -1.115522850497963958e+01 -4.400000000000000000e+01, -1.136939641992691463e+01 -4.500000000000000000e+01, -1.163028480576116230e+01 -4.600000000000000000e+01, -1.187202157536040126e+01 -4.700000000000000000e+01, -1.210944943227906556e+01 -4.800000000000000000e+01, -1.236621934717230786e+01 -4.900000000000000000e+01, -1.257216508797609045e+01 -5.000000000000000000e+01, -1.283106637235529135e+01 -5.100000000000000000e+01, -1.307532506060635313e+01 -5.200000000000000000e+01, -1.330844851691068165e+01 -5.300000000000000000e+01, -1.353969503634986893e+01 -5.400000000000000000e+01, -1.379400641654040172e+01 -5.500000000000000000e+01, -1.402534584664375039e+01 -5.600000000000000000e+01, -1.426013600480886723e+01 -5.700000000000000000e+01, -1.447134134775541980e+01 -5.800000000000000000e+01, -1.472347383944017274e+01 -5.900000000000000000e+01, -1.495243379708020548e+01 -6.000000000000000000e+01, -1.519523061464041547e+01 -6.100000000000000000e+01, -1.542608670553542716e+01 -6.200000000000000000e+01, -1.564990133573642517e+01 -6.300000000000000000e+01, -1.588738913175459544e+01 -6.400000000000000000e+01, -1.611351938940016026e+01 -6.500000000000000000e+01, -1.634828484762362066e+01 -6.600000000000000000e+01, -1.659579578014271917e+01 -6.700000000000000000e+01, -1.680887133079194129e+01 -6.800000000000000000e+01, -1.704614905143261439e+01 -6.900000000000000000e+01, -1.726819570818829419e+01 -7.000000000000000000e+01, -1.748700807937273893e+01 -7.100000000000000000e+01, -1.774510044054582636e+01 -7.200000000000000000e+01, -1.793938010133296146e+01 -7.300000000000000000e+01, -1.819614472700718011e+01 -7.400000000000000000e+01, -1.840435876232620060e+01 -7.500000000000000000e+01, -1.863181597950384827e+01 -7.600000000000000000e+01, -1.887772213384914011e+01 -7.700000000000000000e+01, -1.908389607923698961e+01 -7.800000000000000000e+01, -1.932421670475319075e+01 -7.900000000000000000e+01, -1.952937768161812571e+01 -8.000000000000000000e+01, -1.977711097752323965e+01 -8.100000000000000000e+01, -1.998985006371183459e+01 -8.200000000000000000e+01, -2.021813049369501059e+01 -8.300000000000000000e+01, -2.044485199728626057e+01 -8.400000000000000000e+01, -2.065592557252735517e+01 -8.500000000000000000e+01, -2.090345440397748433e+01 -8.600000000000000000e+01, -2.110130391568037567e+01 -8.700000000000000000e+01, -2.134126330277266703e+01 -8.800000000000000000e+01, -2.155125599338582276e+01 -8.900000000000000000e+01, -2.177724540650757490e+01 -9.000000000000000000e+01, -2.199950297849052205e+01 -9.100000000000000000e+01, -2.221934049873127748e+01 -9.200000000000000000e+01, -2.244004316608763006e+01 -9.300000000000000000e+01, -2.266925842153056436e+01 -9.400000000000000000e+01, -2.288222046459737058e+01 -9.500000000000000000e+01, -2.310252180841517955e+01 -9.600000000000000000e+01, -2.332391580779554019e+01 -9.700000000000000000e+01, -2.353672217358993635e+01 -9.800000000000000000e+01, -2.374976572096774774e+01 -9.900000000000000000e+01, -2.398146474093793756e+01 -1.000000000000000000e+02, -2.419688359466884364e+01 -1.010000000000000000e+02, -2.441226711687673756e+01 -1.020000000000000000e+02, -2.462912353000804444e+01 -1.030000000000000000e+02, -2.484009494837066612e+01 -1.040000000000000000e+02, -2.505477122810511403e+01 -1.050000000000000000e+02, -2.527812264438435719e+01 -1.060000000000000000e+02, -2.547979171690011668e+01 -1.070000000000000000e+02, -2.569511466663936972e+01 -1.080000000000000000e+02, -2.590486062130262823e+01 -1.090000000000000000e+02, -2.612470530480647213e+01 -1.100000000000000000e+02, -2.632067507279830920e+01 -1.110000000000000000e+02, -2.653981043816039076e+01 -1.120000000000000000e+02, -2.674849038335415230e+01 -1.130000000000000000e+02, -2.694826982946615601e+01 -1.140000000000000000e+02, -2.715222119769761377e+01 -1.150000000000000000e+02, -2.735469467461538073e+01 -1.160000000000000000e+02, -2.756015807300181919e+01 -1.170000000000000000e+02, -2.776156224214343737e+01 -1.180000000000000000e+02, -2.793432916915671171e+01 -1.190000000000000000e+02, -2.815496163428302268e+01 -1.200000000000000000e+02, -2.833360978096118998e+01 -1.210000000000000000e+02, -2.853355242619033660e+01 -1.220000000000000000e+02, -2.871490116712404372e+01 -1.230000000000000000e+02, -2.889270723315428668e+01 -1.240000000000000000e+02, -2.907534171716350713e+01 -1.250000000000000000e+02, -2.924927073146740142e+01 -1.260000000000000000e+02, -2.943498394944161589e+01 -1.270000000000000000e+02, -2.959589232863219266e+01 -1.280000000000000000e+02, -2.976214824521577285e+01 -1.290000000000000000e+02, -2.992935844949212054e+01 -1.300000000000000000e+02, -3.008646298374110017e+01 -1.310000000000000000e+02, -3.023755589756702378e+01 -1.320000000000000000e+02, -3.039213778451135894e+01 -1.330000000000000000e+02, -3.053938893343521954e+01 -1.340000000000000000e+02, -3.068745311401184850e+01 -1.350000000000000000e+02, -3.081432027467743495e+01 -1.360000000000000000e+02, -3.094905687190762933e+01 -1.370000000000000000e+02, -3.108609282897567994e+01 -1.380000000000000000e+02, -3.121654733645917901e+01 -1.390000000000000000e+02, -3.133356563668489514e+01 -1.400000000000000000e+02, -3.145544528499043579e+01 -1.410000000000000000e+02, -3.156338321443286432e+01 -1.420000000000000000e+02, -3.168081279694307284e+01 -1.430000000000000000e+02, -3.178856616331491480e+01 -1.440000000000000000e+02, -3.189037668103493317e+01 -1.450000000000000000e+02, -3.199393798317880311e+01 -1.460000000000000000e+02, -3.208825846974978191e+01 -1.470000000000000000e+02, -3.218886566562140672e+01 -1.480000000000000000e+02, -3.227472723044721192e+01 -1.490000000000000000e+02, -3.237119837582580573e+01 -1.500000000000000000e+02, -3.245937240707535665e+01 -1.510000000000000000e+02, -3.254922990480268652e+01 -1.520000000000000000e+02, -3.261712431604079399e+01 -1.530000000000000000e+02, -3.270251103819271776e+01 -1.540000000000000000e+02, -3.279131419739231745e+01 -1.550000000000000000e+02, -3.285373940422144301e+01 -1.560000000000000000e+02, -3.293768018404479392e+01 -1.570000000000000000e+02, -3.300614914484300044e+01 -1.580000000000000000e+02, -3.307915416276804166e+01 -1.590000000000000000e+02, -3.314804928103229997e+01 -1.600000000000000000e+02, -3.321900611581535401e+01 -1.610000000000000000e+02, -3.327792390117485155e+01 -1.620000000000000000e+02, -3.335460080074818734e+01 -1.630000000000000000e+02, -3.341021341937511835e+01 -1.640000000000000000e+02, -3.347261819384371506e+01 -1.650000000000000000e+02, -3.353510267287097690e+01 -1.660000000000000000e+02, -3.359968007626259379e+01 -1.670000000000000000e+02, -3.365271919628017372e+01 -1.680000000000000000e+02, -3.371767530880028829e+01 -1.690000000000000000e+02, -3.376620313898649073e+01 -1.700000000000000000e+02, -3.382788862876165581e+01 -1.710000000000000000e+02, -3.388103682888321089e+01 -1.720000000000000000e+02, -3.393340863089382964e+01 -1.730000000000000000e+02, -3.399916871871580071e+01 -1.740000000000000000e+02, -3.403752651829292120e+01 -1.750000000000000000e+02, -3.409198210589826061e+01 -1.760000000000000000e+02, -3.414045120636919961e+01 -1.770000000000000000e+02, -3.419587583440141998e+01 -1.780000000000000000e+02, -3.424388556013990126e+01 -1.790000000000000000e+02, -3.428595757422655765e+01 -1.800000000000000000e+02, -3.433813102814023210e+01 -1.810000000000000000e+02, -3.437857667978565246e+01 -1.820000000000000000e+02, -3.442605174337018070e+01 -1.830000000000000000e+02, -3.447211656405138314e+01 -1.840000000000000000e+02, -3.450930241182082625e+01 -1.850000000000000000e+02, -3.455481707818573511e+01 -1.860000000000000000e+02, -3.459261405769362341e+01 -1.870000000000000000e+02, -3.462620085091292310e+01 -1.880000000000000000e+02, -3.467122278618165154e+01 -1.890000000000000000e+02, -3.470951404637153104e+01 -1.900000000000000000e+02, -3.473740860624062066e+01 -1.910000000000000000e+02, -3.476944699486951151e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE070 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE070 deleted file mode 100644 index c50c906f..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE070 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.749732464563362955e+00 -2.000000000000000000e+00, 2.046729769235966501e+00 -3.000000000000000000e+00, 1.499377967959514280e+00 -4.000000000000000000e+00, 8.053734429969252595e-01 -5.000000000000000000e+00, 5.547420463464058926e-01 -6.000000000000000000e+00, 1.613064704821150219e-01 -7.000000000000000000e+00, -3.970962840636848012e-01 -8.000000000000000000e+00, -7.071835634954359850e-01 -9.000000000000000000e+00, -1.014984139381700290e+00 -1.000000000000000000e+01, -1.370864160016626254e+00 -1.100000000000000000e+01, -1.863339311524950803e+00 -1.200000000000000000e+01, -2.218585395167941954e+00 -1.300000000000000000e+01, -2.420955896292069198e+00 -1.400000000000000000e+01, -2.747004641043379269e+00 -1.500000000000000000e+01, -3.139113492891667967e+00 -1.600000000000000000e+01, -3.422625419549935266e+00 -1.700000000000000000e+01, -3.689879881540993889e+00 -1.800000000000000000e+01, -3.973089669793443246e+00 -1.900000000000000000e+01, -4.309269925484291441e+00 -2.000000000000000000e+01, -4.516007836848984880e+00 -2.100000000000000000e+01, -4.857427019376147292e+00 -2.200000000000000000e+01, -5.049925254348234027e+00 -2.300000000000000000e+01, -5.362308288321795402e+00 -2.400000000000000000e+01, -5.630492213927804634e+00 -2.500000000000000000e+01, -5.884389314391061276e+00 -2.600000000000000000e+01, -6.143600023399508281e+00 -2.700000000000000000e+01, -6.393770747086535700e+00 -2.800000000000000000e+01, -6.631471296711122676e+00 -2.900000000000000000e+01, -6.871990670839075221e+00 -3.000000000000000000e+01, -7.099831424322176510e+00 -3.100000000000000000e+01, -7.377372032806547963e+00 -3.200000000000000000e+01, -7.612686008459745857e+00 -3.300000000000000000e+01, -7.854187744216734046e+00 -3.400000000000000000e+01, -8.079844823561179723e+00 -3.500000000000000000e+01, -8.308314426090808169e+00 -3.600000000000000000e+01, -8.533357582259791130e+00 -3.700000000000000000e+01, -8.770526723332707775e+00 -3.800000000000000000e+01, -8.995985062484658457e+00 -3.900000000000000000e+01, -9.254996484865221973e+00 -4.000000000000000000e+01, -9.439824953963009690e+00 -4.100000000000000000e+01, -9.682906170038229732e+00 -4.200000000000000000e+01, -9.880081555985928077e+00 -4.300000000000000000e+01, -1.014779880164518566e+01 -4.400000000000000000e+01, -1.033924259876827101e+01 -4.500000000000000000e+01, -1.057761188666684937e+01 -4.600000000000000000e+01, -1.079684616653977436e+01 -4.700000000000000000e+01, -1.101235782264983243e+01 -4.800000000000000000e+01, -1.124624283932790547e+01 -4.900000000000000000e+01, -1.142999962843583539e+01 -5.000000000000000000e+01, -1.166589250707286674e+01 -5.100000000000000000e+01, -1.188751947163985712e+01 -5.200000000000000000e+01, -1.209810148849426170e+01 -5.300000000000000000e+01, -1.230636935689984490e+01 -5.400000000000000000e+01, -1.253817830139679224e+01 -5.500000000000000000e+01, -1.274667886295083186e+01 -5.600000000000000000e+01, -1.295926407912889822e+01 -5.700000000000000000e+01, -1.314751966582487697e+01 -5.800000000000000000e+01, -1.337654367289119328e+01 -5.900000000000000000e+01, -1.358310657001482191e+01 -6.000000000000000000e+01, -1.380305578152977120e+01 -6.100000000000000000e+01, -1.401088494815739161e+01 -6.200000000000000000e+01, -1.421210080568582512e+01 -6.300000000000000000e+01, -1.442674496192229761e+01 -6.400000000000000000e+01, -1.463013785321521354e+01 -6.500000000000000000e+01, -1.484165117885590846e+01 -6.600000000000000000e+01, -1.506667620081741177e+01 -6.700000000000000000e+01, -1.525739763574319774e+01 -6.800000000000000000e+01, -1.547166260591151854e+01 -6.900000000000000000e+01, -1.567101143516909367e+01 -7.000000000000000000e+01, -1.586670490196560124e+01 -7.100000000000000000e+01, -1.610226020236751765e+01 -7.200000000000000000e+01, -1.627370522672518405e+01 -7.300000000000000000e+01, -1.650771664336533462e+01 -7.400000000000000000e+01, -1.669295791828550080e+01 -7.500000000000000000e+01, -1.689746485999981473e+01 -7.600000000000000000e+01, -1.712056162245943014e+01 -7.700000000000000000e+01, -1.730372517918889486e+01 -7.800000000000000000e+01, -1.752150137702555099e+01 -7.900000000000000000e+01, -1.770363162789011113e+01 -8.000000000000000000e+01, -1.792834909937010934e+01 -8.100000000000000000e+01, -1.811825292655824526e+01 -8.200000000000000000e+01, -1.832373265110902949e+01 -8.300000000000000000e+01, -1.852768040083072520e+01 -8.400000000000000000e+01, -1.871570182131940641e+01 -8.500000000000000000e+01, -1.894035271853085334e+01 -8.600000000000000000e+01, -1.911540704589275208e+01 -8.700000000000000000e+01, -1.933239956663870629e+01 -8.800000000000000000e+01, -1.951973828855302173e+01 -8.900000000000000000e+01, -1.972252094797801902e+01 -9.000000000000000000e+01, -1.992244542421591547e+01 -9.100000000000000000e+01, -2.011900465906525781e+01 -9.200000000000000000e+01, -2.031702120708511572e+01 -9.300000000000000000e+01, -2.052373107420780229e+01 -9.400000000000000000e+01, -2.071377706325305468e+01 -9.500000000000000000e+01, -2.091181289669323817e+01 -9.600000000000000000e+01, -2.111055055083558329e+01 -9.700000000000000000e+01, -2.130110060968909735e+01 -9.800000000000000000e+01, -2.149134866841811942e+01 -9.900000000000000000e+01, -2.170109329988097358e+01 -1.000000000000000000e+02, -2.189444039459787561e+01 -1.010000000000000000e+02, -2.208771302975386419e+01 -1.020000000000000000e+02, -2.228319214222395672e+01 -1.030000000000000000e+02, -2.247202856503514568e+01 -1.040000000000000000e+02, -2.266598580430155963e+01 -1.050000000000000000e+02, -2.286809098950248398e+01 -1.060000000000000000e+02, -2.304910263647807867e+01 -1.070000000000000000e+02, -2.324412969406449392e+01 -1.080000000000000000e+02, -2.343372012756423217e+01 -1.090000000000000000e+02, -2.363435739251013246e+01 -1.100000000000000000e+02, -2.381071501438075444e+01 -1.110000000000000000e+02, -2.401168374931313565e+01 -1.120000000000000000e+02, -2.420279233448029998e+01 -1.130000000000000000e+02, -2.438537505343808576e+01 -1.140000000000000000e+02, -2.457324218695068296e+01 -1.150000000000000000e+02, -2.476004824870209475e+01 -1.160000000000000000e+02, -2.495132600141248247e+01 -1.170000000000000000e+02, -2.513899631609487173e+01 -1.180000000000000000e+02, -2.529986734061037978e+01 -1.190000000000000000e+02, -2.550942125456808540e+01 -1.200000000000000000e+02, -2.567830557072526787e+01 -1.210000000000000000e+02, -2.587043254904455836e+01 -1.220000000000000000e+02, -2.604470352482774587e+01 -1.230000000000000000e+02, -2.621804016549416616e+01 -1.240000000000000000e+02, -2.639709262054536509e+01 -1.250000000000000000e+02, -2.656966437739758291e+01 -1.260000000000000000e+02, -2.675597985012210600e+01 -1.270000000000000000e+02, -2.691893136781921569e+01 -1.280000000000000000e+02, -2.708973757754128897e+01 -1.290000000000000000e+02, -2.726254880786136425e+01 -1.300000000000000000e+02, -2.742842785419430740e+01 -1.310000000000000000e+02, -2.758939642391675662e+01 -1.320000000000000000e+02, -2.775588348462791188e+01 -1.330000000000000000e+02, -2.791707890887420263e+01 -1.340000000000000000e+02, -2.808039330593997462e+01 -1.350000000000000000e+02, -2.822465467716704524e+01 -1.360000000000000000e+02, -2.837790390766886262e+01 -1.370000000000000000e+02, -2.853499462997029212e+01 -1.380000000000000000e+02, -2.868700781664140820e+01 -1.390000000000000000e+02, -2.882631020634725161e+01 -1.400000000000000000e+02, -2.897137744994859787e+01 -1.410000000000000000e+02, -2.910368062723304305e+01 -1.420000000000000000e+02, -2.924598006097698644e+01 -1.430000000000000000e+02, -2.937908874418812744e+01 -1.440000000000000000e+02, -2.950644231473885171e+01 -1.450000000000000000e+02, -2.963598452957625184e+01 -1.460000000000000000e+02, -2.975622307763701713e+01 -1.470000000000000000e+02, -2.988270944206244550e+01 -1.480000000000000000e+02, -2.999450479483608589e+01 -1.490000000000000000e+02, -3.011637270380100162e+01 -1.500000000000000000e+02, -3.022959283668889086e+01 -1.510000000000000000e+02, -3.034416846531968659e+01 -1.520000000000000000e+02, -3.043610171215333793e+01 -1.530000000000000000e+02, -3.054515244572154486e+01 -1.540000000000000000e+02, -3.065678543253302024e+01 -1.550000000000000000e+02, -3.074161546766207564e+01 -1.560000000000000000e+02, -3.084731617705379136e+01 -1.570000000000000000e+02, -3.093653282984729813e+01 -1.580000000000000000e+02, -3.102981406634300754e+01 -1.590000000000000000e+02, -3.111806911073955817e+01 -1.600000000000000000e+02, -3.120787278954855637e+01 -1.610000000000000000e+02, -3.128494309640696258e+01 -1.620000000000000000e+02, -3.137896199631215666e+01 -1.630000000000000000e+02, -3.145123657344741375e+01 -1.640000000000000000e+02, -3.152962605115983408e+01 -1.650000000000000000e+02, -3.160761272263481558e+01 -1.660000000000000000e+02, -3.168676286353779403e+01 -1.670000000000000000e+02, -3.175394813415509532e+01 -1.680000000000000000e+02, -3.183253266644963020e+01 -1.690000000000000000e+02, -3.189405208683353266e+01 -1.700000000000000000e+02, -3.196827317234725641e+01 -1.710000000000000000e+02, -3.203328874799701254e+01 -1.720000000000000000e+02, -3.209724801345922174e+01 -1.730000000000000000e+02, -3.217390892232869248e+01 -1.740000000000000000e+02, -3.222297242947459495e+01 -1.750000000000000000e+02, -3.228744533448109166e+01 -1.760000000000000000e+02, -3.234579252044139253e+01 -1.770000000000000000e+02, -3.241055954067319789e+01 -1.780000000000000000e+02, -3.246765249297100553e+01 -1.790000000000000000e+02, -3.251832946605910024e+01 -1.800000000000000000e+02, -3.257867865741733482e+01 -1.810000000000000000e+02, -3.262719413171102900e+01 -1.820000000000000000e+02, -3.268238777537387563e+01 -1.830000000000000000e+02, -3.273575234371035236e+01 -1.840000000000000000e+02, -3.278003580589845001e+01 -1.850000000000000000e+02, -3.283219171497889022e+01 -1.860000000000000000e+02, -3.287636350639254346e+01 -1.870000000000000000e+02, -3.291600476303895562e+01 -1.880000000000000000e+02, -3.296667749436065264e+01 -1.890000000000000000e+02, -3.301034800315139250e+01 -1.900000000000000000e+02, -3.304336667888015455e+01 -1.910000000000000000e+02, -3.308001095655780688e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE076 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE076 deleted file mode 100644 index b70d841c..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE076 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.832315107835547296e+00 -2.000000000000000000e+00, 2.108978720813470709e+00 -3.000000000000000000e+00, 1.533145504179953100e+00 -4.000000000000000000e+00, 8.767762830231771165e-01 -5.000000000000000000e+00, 6.509982676676367985e-01 -6.000000000000000000e+00, 2.964372213428035363e-01 -7.000000000000000000e+00, -2.257281538696536694e-01 -8.000000000000000000e+00, -5.069064908286010640e-01 -9.000000000000000000e+00, -7.857246892230956847e-01 -1.000000000000000000e+01, -1.110871630042832292e+00 -1.100000000000000000e+01, -1.574533622929285892e+00 -1.200000000000000000e+01, -1.906807495325625990e+00 -1.300000000000000000e+01, -2.083477381238060477e+00 -1.400000000000000000e+01, -2.385724642479308599e+00 -1.500000000000000000e+01, -2.752814119318120145e+00 -1.600000000000000000e+01, -3.014294991187948192e+00 -1.700000000000000000e+01, -3.258798465093327490e+00 -1.800000000000000000e+01, -3.519691945129281407e+00 -1.900000000000000000e+01, -3.835288444986385326e+00 -2.000000000000000000e+01, -4.020481720728841246e+00 -2.100000000000000000e+01, -4.340735276765350648e+00 -2.200000000000000000e+01, -4.511351471997438800e+00 -2.300000000000000000e+01, -4.803140181239547779e+00 -2.400000000000000000e+01, -5.050820717021835549e+00 -2.500000000000000000e+01, -5.284717010470896703e+00 -2.600000000000000000e+01, -5.522742967645653422e+00 -2.700000000000000000e+01, -5.753136624512439568e+00 -2.800000000000000000e+01, -5.970226758925364585e+00 -2.900000000000000000e+01, -6.190170852578531502e+00 -3.000000000000000000e+01, -6.397103941611408828e+00 -3.100000000000000000e+01, -6.653766644338976910e+00 -3.200000000000000000e+01, -6.869533092045179146e+00 -3.300000000000000000e+01, -7.090186627330475666e+00 -3.400000000000000000e+01, -7.295927107202573758e+00 -3.500000000000000000e+01, -7.503157651573055809e+00 -3.600000000000000000e+01, -7.708142835276613702e+00 -3.700000000000000000e+01, -7.924120040876075244e+00 -3.800000000000000000e+01, -8.128597696000348094e+00 -3.900000000000000000e+01, -8.367242128572655702e+00 -4.000000000000000000e+01, -8.531415253934463649e+00 -4.100000000000000000e+01, -8.753347349616710460e+00 -4.200000000000000000e+01, -8.929501764666271768e+00 -4.300000000000000000e+01, -9.176037831453047744e+00 -4.400000000000000000e+01, -9.346950655111369244e+00 -4.500000000000000000e+01, -9.563665279421451615e+00 -4.600000000000000000e+01, -9.762143728693764899e+00 -4.700000000000000000e+01, -9.956425425366397519e+00 -4.800000000000000000e+01, -1.016970786274497129e+01 -4.900000000000000000e+01, -1.033203191470501991e+01 -5.000000000000000000e+01, -1.054668647954459360e+01 -5.100000000000000000e+01, -1.074736085773619365e+01 -5.200000000000000000e+01, -1.093668583028265218e+01 -5.300000000000000000e+01, -1.112396523978905272e+01 -5.400000000000000000e+01, -1.133459398762941106e+01 -5.500000000000000000e+01, -1.152219404738345787e+01 -5.600000000000000000e+01, -1.171400774056366956e+01 -5.700000000000000000e+01, -1.188125300522855277e+01 -5.800000000000000000e+01, -1.208908899820112204e+01 -5.900000000000000000e+01, -1.227427772500664638e+01 -6.000000000000000000e+01, -1.247333626627463055e+01 -6.100000000000000000e+01, -1.266020773347151263e+01 -6.200000000000000000e+01, -1.284030836629119499e+01 -6.300000000000000000e+01, -1.303400795738048501e+01 -6.400000000000000000e+01, -1.321608333611372998e+01 -6.500000000000000000e+01, -1.340677820863732350e+01 -6.600000000000000000e+01, -1.361066120803963919e+01 -6.700000000000000000e+01, -1.378023394865170914e+01 -6.800000000000000000e+01, -1.397376876353230557e+01 -6.900000000000000000e+01, -1.415233373974725239e+01 -7.000000000000000000e+01, -1.432712548992850721e+01 -7.100000000000000000e+01, -1.454171929376964734e+01 -7.200000000000000000e+01, -1.469206032228793646e+01 -7.300000000000000000e+01, -1.490529613612607207e+01 -7.400000000000000000e+01, -1.506970559716302560e+01 -7.500000000000000000e+01, -1.525339111772519729e+01 -7.600000000000000000e+01, -1.545576387520149453e+01 -7.700000000000000000e+01, -1.561823650159152166e+01 -7.800000000000000000e+01, -1.581511664302504627e+01 -7.900000000000000000e+01, -1.597650470237610953e+01 -8.000000000000000000e+01, -1.618062282905185256e+01 -8.100000000000000000e+01, -1.634984697618122595e+01 -8.200000000000000000e+01, -1.653457565825540243e+01 -8.300000000000000000e+01, -1.671793754360628625e+01 -8.400000000000000000e+01, -1.688522001882471812e+01 -8.500000000000000000e+01, -1.708951483135703597e+01 -8.600000000000000000e+01, -1.724395703185654938e+01 -8.700000000000000000e+01, -1.744036034313465322e+01 -8.800000000000000000e+01, -1.760718455886426526e+01 -8.900000000000000000e+01, -1.778959433111662847e+01 -9.000000000000000000e+01, -1.796874284849606696e+01 -9.100000000000000000e+01, -1.814506958961746008e+01 -9.200000000000000000e+01, -1.832256140285774748e+01 -9.300000000000000000e+01, -1.850870629931372591e+01 -9.400000000000000000e+01, -1.867854461783602815e+01 -9.500000000000000000e+01, -1.885618720513085833e+01 -9.600000000000000000e+01, -1.903457866101585338e+01 -9.700000000000000000e+01, -1.920488246370337393e+01 -9.800000000000000000e+01, -1.937463918204242574e+01 -9.900000000000000000e+01, -1.956418740245877785e+01 -1.000000000000000000e+02, -1.973745834573224656e+01 -1.010000000000000000e+02, -1.991065920198003880e+01 -1.020000000000000000e+02, -2.008619538914249603e+01 -1.030000000000000000e+02, -2.025502014051243549e+01 -1.040000000000000000e+02, -2.042915280343802564e+01 -1.050000000000000000e+02, -2.061137970797440744e+01 -1.060000000000000000e+02, -2.077291799302067332e+01 -1.070000000000000000e+02, -2.094826234184690961e+01 -1.080000000000000000e+02, -2.111869926332816760e+01 -1.090000000000000000e+02, -2.129985238940837888e+01 -1.100000000000000000e+02, -2.145730666210148030e+01 -1.110000000000000000e+02, -2.163935354965353142e+01 -1.120000000000000000e+02, -2.181186279732026989e+01 -1.130000000000000000e+02, -2.197620946003697284e+01 -1.140000000000000000e+02, -2.214579060154382972e+01 -1.150000000000000000e+02, -2.231496342977004943e+01 -1.160000000000000000e+02, -2.248862216023857385e+01 -1.170000000000000000e+02, -2.265919241110178461e+01 -1.180000000000000000e+02, -2.280346256708694597e+01 -1.190000000000000000e+02, -2.299655927455404480e+01 -1.200000000000000000e+02, -2.314979657670405899e+01 -1.210000000000000000e+02, -2.332645362362464425e+01 -1.220000000000000000e+02, -2.348623282022112591e+01 -1.230000000000000000e+02, -2.364544686360094161e+01 -1.240000000000000000e+02, -2.381098427786823635e+01 -1.250000000000000000e+02, -2.397087662336501879e+01 -1.260000000000000000e+02, -2.414526336966640940e+01 -1.270000000000000000e+02, -2.429716617630477060e+01 -1.280000000000000000e+02, -2.445775442038191372e+01 -1.290000000000000000e+02, -2.462122249871132240e+01 -1.300000000000000000e+02, -2.477909535929416052e+01 -1.310000000000000000e+02, -2.493262104936236412e+01 -1.320000000000000000e+02, -2.509323470415440838e+01 -1.330000000000000000e+02, -2.524945992336992617e+01 -1.340000000000000000e+02, -2.540943203744435053e+01 -1.350000000000000000e+02, -2.555111404764920380e+01 -1.360000000000000000e+02, -2.570324265662806695e+01 -1.370000000000000000e+02, -2.586064390883431230e+01 -1.380000000000000000e+02, -2.601432974489310368e+01 -1.390000000000000000e+02, -2.615651518627936412e+01 -1.400000000000000000e+02, -2.630591580777029037e+01 -1.410000000000000000e+02, -2.644387556518745086e+01 -1.420000000000000000e+02, -2.659339457990749622e+01 -1.430000000000000000e+02, -2.673472371329522801e+01 -1.440000000000000000e+02, -2.687165113642796044e+01 -1.450000000000000000e+02, -2.701218744780550196e+01 -1.460000000000000000e+02, -2.714463680877761576e+01 -1.470000000000000000e+02, -2.728443698853524069e+01 -1.480000000000000000e+02, -2.741021579292482357e+01 -1.490000000000000000e+02, -2.754763344758514521e+01 -1.500000000000000000e+02, -2.767709602206697994e+01 -1.510000000000000000e+02, -2.780838523243148686e+01 -1.520000000000000000e+02, -2.791805254592153318e+01 -1.530000000000000000e+02, -2.804578472503719411e+01 -1.540000000000000000e+02, -2.817621875106031126e+01 -1.550000000000000000e+02, -2.828049565034494961e+01 -1.560000000000000000e+02, -2.840589758223152828e+01 -1.570000000000000000e+02, -2.851516747946795505e+01 -1.580000000000000000e+02, -2.862890472446662216e+01 -1.590000000000000000e+02, -2.873745004603504327e+01 -1.600000000000000000e+02, -2.884782161510977261e+01 -1.610000000000000000e+02, -2.894525710012954178e+01 -1.620000000000000000e+02, -2.905979219026038152e+01 -1.630000000000000000e+02, -2.915211536076161636e+01 -1.640000000000000000e+02, -2.925057842855328261e+01 -1.650000000000000000e+02, -2.934875569254974081e+01 -1.660000000000000000e+02, -2.944723143400304011e+01 -1.670000000000000000e+02, -2.953391489832204186e+01 -1.680000000000000000e+02, -2.963140985832762908e+01 -1.690000000000000000e+02, -2.971142977075256653e+01 -1.700000000000000000e+02, -2.980404088214586977e+01 -1.710000000000000000e+02, -2.988664902001627155e+01 -1.720000000000000000e+02, -2.996812578037669184e+01 -1.730000000000000000e+02, -3.006188470394476653e+01 -1.740000000000000000e+02, -3.012749236627107408e+01 -1.750000000000000000e+02, -3.020786566559429076e+01 -1.760000000000000000e+02, -3.028214382955072281e+01 -1.770000000000000000e+02, -3.036217048329707069e+01 -1.780000000000000000e+02, -3.043386827833191077e+01 -1.790000000000000000e+02, -3.049904768725258819e+01 -1.800000000000000000e+02, -3.057334825047422910e+01 -1.810000000000000000e+02, -3.063524275006718156e+01 -1.820000000000000000e+02, -3.070360121478910997e+01 -1.830000000000000000e+02, -3.076957883817963690e+01 -1.840000000000000000e+02, -3.082590587996452669e+01 -1.850000000000000000e+02, -3.088981359831560169e+01 -1.860000000000000000e+02, -3.094524681587643045e+01 -1.870000000000000000e+02, -3.099553281924808346e+01 -1.880000000000000000e+02, -3.105666630106064119e+01 -1.890000000000000000e+02, -3.110982978451527359e+01 -1.900000000000000000e+02, -3.115201030412319128e+01 -1.910000000000000000e+02, -3.119714248693959746e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE082 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE082 deleted file mode 100644 index 4fd3ebb2..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE082 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.940223571116672430e+00 -2.000000000000000000e+00, 2.149152948626596782e+00 -3.000000000000000000e+00, 1.596493044814116580e+00 -4.000000000000000000e+00, 9.271687135646928812e-01 -5.000000000000000000e+00, 7.292421671480427969e-01 -6.000000000000000000e+00, 4.020321310035127604e-01 -7.000000000000000000e+00, -8.698806480150091114e-02 -8.000000000000000000e+00, -3.420893642646458122e-01 -9.000000000000000000e+00, -5.936394169155332357e-01 -1.000000000000000000e+01, -8.913324679525864713e-01 -1.100000000000000000e+01, -1.329187857208376178e+00 -1.200000000000000000e+01, -1.641252604336757903e+00 -1.300000000000000000e+01, -1.796973390296051853e+00 -1.400000000000000000e+01, -2.076637996559310917e+00 -1.500000000000000000e+01, -2.422774588210709901e+00 -1.600000000000000000e+01, -2.665012162751384306e+00 -1.700000000000000000e+01, -2.891453115392515372e+00 -1.800000000000000000e+01, -3.134134795710288302e+00 -1.900000000000000000e+01, -3.430814444980328837e+00 -2.000000000000000000e+01, -3.598039499783667328e+00 -2.100000000000000000e+01, -3.900473671400906728e+00 -2.200000000000000000e+01, -4.053639841040007852e+00 -2.300000000000000000e+01, -4.327241446353241372e+00 -2.400000000000000000e+01, -4.557990107741765051e+00 -2.500000000000000000e+01, -4.773960209799349208e+00 -2.600000000000000000e+01, -4.995743593299255103e+00 -2.700000000000000000e+01, -5.208959593984518577e+00 -2.800000000000000000e+01, -5.409144254668047047e+00 -2.900000000000000000e+01, -5.612328937692017128e+00 -3.000000000000000000e+01, -5.801116206902328543e+00 -3.100000000000000000e+01, -6.041286799016154063e+00 -3.200000000000000000e+01, -6.239794853598116475e+00 -3.300000000000000000e+01, -6.444055776165865446e+00 -3.400000000000000000e+01, -6.633023119343208762e+00 -3.500000000000000000e+01, -6.823517603452500246e+00 -3.600000000000000000e+01, -7.011522806114223627e+00 -3.700000000000000000e+01, -7.210646396743755737e+00 -3.800000000000000000e+01, -7.398163376455983986e+00 -3.900000000000000000e+01, -7.619503459964612979e+00 -4.000000000000000000e+01, -7.766988440652199621e+00 -4.100000000000000000e+01, -7.971924415999169788e+00 -4.200000000000000000e+01, -8.131034335024249771e+00 -4.300000000000000000e+01, -8.360375197305510042e+00 -4.400000000000000000e+01, -8.514384202742011354e+00 -4.500000000000000000e+01, -8.714001061802630232e+00 -4.600000000000000000e+01, -8.895336029160608504e+00 -4.700000000000000000e+01, -9.072539708295611405e+00 -4.800000000000000000e+01, -9.268482202907282641e+00 -4.900000000000000000e+01, -9.413977077338403276e+00 -5.000000000000000000e+01, -9.611083761835333306e+00 -5.100000000000000000e+01, -9.794935384449244609e+00 -5.200000000000000000e+01, -9.967333144845449411e+00 -5.300000000000000000e+01, -1.013700286064591793e+01 -5.400000000000000000e+01, -1.033053254735647997e+01 -5.500000000000000000e+01, -1.050127156374404613e+01 -5.600000000000000000e+01, -1.067570940338485919e+01 -5.700000000000000000e+01, -1.082566524102591821e+01 -5.800000000000000000e+01, -1.101591514205765066e+01 -5.900000000000000000e+01, -1.118435319880328116e+01 -6.000000000000000000e+01, -1.136587951096482740e+01 -6.100000000000000000e+01, -1.153549899757934405e+01 -6.200000000000000000e+01, -1.169808779905508622e+01 -6.300000000000000000e+01, -1.187448625279232139e+01 -6.400000000000000000e+01, -1.203935194763696792e+01 -6.500000000000000000e+01, -1.221251395161230668e+01 -6.600000000000000000e+01, -1.239931689532309456e+01 -6.700000000000000000e+01, -1.255173917108687220e+01 -6.800000000000000000e+01, -1.272806973616451742e+01 -6.900000000000000000e+01, -1.288924136643190188e+01 -7.000000000000000000e+01, -1.304652136703537302e+01 -7.100000000000000000e+01, -1.324413407934561882e+01 -7.200000000000000000e+01, -1.337719603403542479e+01 -7.300000000000000000e+01, -1.357326275776041946e+01 -7.400000000000000000e+01, -1.372047956104533029e+01 -7.500000000000000000e+01, -1.388672779456691764e+01 -7.600000000000000000e+01, -1.407198383217999016e+01 -7.700000000000000000e+01, -1.421715953600912563e+01 -7.800000000000000000e+01, -1.439687186383461714e+01 -7.900000000000000000e+01, -1.454103795656478937e+01 -8.000000000000000000e+01, -1.472787885642395267e+01 -8.100000000000000000e+01, -1.488003210256712094e+01 -8.200000000000000000e+01, -1.504753209980255058e+01 -8.300000000000000000e+01, -1.521370977077973841e+01 -8.400000000000000000e+01, -1.536387358189401020e+01 -8.500000000000000000e+01, -1.555085112369681610e+01 -8.600000000000000000e+01, -1.568828527990157973e+01 -8.700000000000000000e+01, -1.586765986656184779e+01 -8.800000000000000000e+01, -1.601736149456330693e+01 -8.900000000000000000e+01, -1.618251859882915511e+01 -9.000000000000000000e+01, -1.634466132852449149e+01 -9.100000000000000000e+01, -1.650380477280955915e+01 -9.200000000000000000e+01, -1.666429623794973480e+01 -9.300000000000000000e+01, -1.683329848783132832e+01 -9.400000000000000000e+01, -1.698625246785395859e+01 -9.500000000000000000e+01, -1.714681646192117270e+01 -9.600000000000000000e+01, -1.730833020544245215e+01 -9.700000000000000000e+01, -1.746178297635067622e+01 -9.800000000000000000e+01, -1.761441137611042507e+01 -9.900000000000000000e+01, -1.778695194956558367e+01 -1.000000000000000000e+02, -1.794361742728112930e+01 -1.010000000000000000e+02, -1.809995985924057038e+01 -1.020000000000000000e+02, -1.825844515858518946e+01 -1.030000000000000000e+02, -1.841083153101375558e+01 -1.040000000000000000e+02, -1.856820782240786727e+01 -1.050000000000000000e+02, -1.873373981653294251e+01 -1.060000000000000000e+02, -1.887876931061957819e+01 -1.070000000000000000e+02, -1.903742598743283665e+01 -1.080000000000000000e+02, -1.919138866380199815e+01 -1.090000000000000000e+02, -1.935595136184219101e+01 -1.100000000000000000e+02, -1.949712341164645224e+01 -1.110000000000000000e+02, -1.966283323984998077e+01 -1.120000000000000000e+02, -1.981923339085251712e+01 -1.130000000000000000e+02, -1.996746874005058814e+01 -1.140000000000000000e+02, -2.012087078212280034e+01 -1.150000000000000000e+02, -2.027426389651587613e+01 -1.160000000000000000e+02, -2.043198530880700403e+01 -1.170000000000000000e+02, -2.058695313521368675e+01 -1.180000000000000000e+02, -2.071587386644518247e+01 -1.190000000000000000e+02, -2.089337536714591792e+01 -1.200000000000000000e+02, -2.103153481732690011e+01 -1.210000000000000000e+02, -2.119315544118207129e+01 -1.220000000000000000e+02, -2.133818995285955467e+01 -1.230000000000000000e+02, -2.148280966658488467e+01 -1.240000000000000000e+02, -2.163394893995370083e+01 -1.250000000000000000e+02, -2.177956678886705433e+01 -1.260000000000000000e+02, -2.194021495268878397e+01 -1.270000000000000000e+02, -2.207859982426493417e+01 -1.280000000000000000e+02, -2.222590782358285111e+01 -1.290000000000000000e+02, -2.237629893369307510e+01 -1.300000000000000000e+02, -2.252187392209653538e+01 -1.310000000000000000e+02, -2.266317627797412726e+01 -1.320000000000000000e+02, -2.281199150556662758e+01 -1.330000000000000000e+02, -2.295689955934109605e+01 -1.340000000000000000e+02, -2.310603235226340146e+01 -1.350000000000000000e+02, -2.323758589529876417e+01 -1.360000000000000000e+02, -2.337993253645131730e+01 -1.370000000000000000e+02, -2.352789161109854987e+01 -1.380000000000000000e+02, -2.367309791458457013e+01 -1.390000000000000000e+02, -2.380741727362919846e+01 -1.400000000000000000e+02, -2.394932259186010270e+01 -1.410000000000000000e+02, -2.408063203573959044e+01 -1.420000000000000000e+02, -2.422435743115842754e+01 -1.430000000000000000e+02, -2.436033933421045106e+01 -1.440000000000000000e+02, -2.449281548431616429e+01 -1.450000000000000000e+02, -2.462977388330290651e+01 -1.460000000000000000e+02, -2.475941456142577834e+01 -1.470000000000000000e+02, -2.489735953520500900e+01 -1.480000000000000000e+02, -2.502144735575712886e+01 -1.490000000000000000e+02, -2.515878931758070536e+01 -1.500000000000000000e+02, -2.528883635484814363e+01 -1.510000000000000000e+02, -2.542163654450209620e+01 -1.520000000000000000e+02, -2.553330161917559238e+01 -1.530000000000000000e+02, -2.566422026960233538e+01 -1.540000000000000000e+02, -2.579870488674019668e+01 -1.550000000000000000e+02, -2.590773919485714316e+01 -1.560000000000000000e+02, -2.603850159191887670e+01 -1.570000000000000000e+02, -2.615422748481952908e+01 -1.580000000000000000e+02, -2.627527507666047057e+01 -1.590000000000000000e+02, -2.639160875364989423e+01 -1.600000000000000000e+02, -2.651051307211282904e+01 -1.610000000000000000e+02, -2.661717702843543165e+01 -1.620000000000000000e+02, -2.674158502166192264e+01 -1.630000000000000000e+02, -2.684431089080489130e+01 -1.640000000000000000e+02, -2.695384267019942826e+01 -1.650000000000000000e+02, -2.706339040019964770e+01 -1.660000000000000000e+02, -2.717394743290801173e+01 -1.670000000000000000e+02, -2.727293859144099386e+01 -1.680000000000000000e+02, -2.738319554617631013e+01 -1.690000000000000000e+02, -2.747622143170207210e+01 -1.700000000000000000e+02, -2.758228935848215713e+01 -1.710000000000000000e+02, -2.767846027009394305e+01 -1.720000000000000000e+02, -2.777388683420322479e+01 -1.730000000000000000e+02, -2.788146866787013778e+01 -1.740000000000000000e+02, -2.796118300408440760e+01 -1.750000000000000000e+02, -2.805570891367795738e+01 -1.760000000000000000e+02, -2.814426639048535250e+01 -1.770000000000000000e+02, -2.823861096502231405e+01 -1.780000000000000000e+02, -2.832448346106766479e+01 -1.790000000000000000e+02, -2.840397712034132738e+01 -1.800000000000000000e+02, -2.849233832084436102e+01 -1.810000000000000000e+02, -2.856820066770931632e+01 -1.820000000000000000e+02, -2.865053317994143711e+01 -1.830000000000000000e+02, -2.873011058588834388e+01 -1.840000000000000000e+02, -2.880002841175561556e+01 -1.850000000000000000e+02, -2.887710954238736605e+01 -1.860000000000000000e+02, -2.894559593314252055e+01 -1.870000000000000000e+02, -2.900845494911517974e+01 -1.880000000000000000e+02, -2.908202941878382575e+01 -1.890000000000000000e+02, -2.914682411052324440e+01 -1.900000000000000000e+02, -2.920038283751694763e+01 -1.910000000000000000e+02, -2.925629563851850534e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE088 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE088 deleted file mode 100644 index 14fec591..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE088 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 1.930270015457600685e+00 -2.000000000000000000e+00, 2.257429937544843224e+00 -3.000000000000000000e+00, 1.626606525600598374e+00 -4.000000000000000000e+00, 9.706082827323792017e-01 -5.000000000000000000e+00, 7.948153302409977083e-01 -6.000000000000000000e+00, 4.932782633314952148e-01 -7.000000000000000000e+00, 2.630364729358136353e-02 -8.000000000000000000e+00, -2.005415341308719179e-01 -9.000000000000000000e+00, -4.278939027099513126e-01 -1.000000000000000000e+01, -7.000654767146802238e-01 -1.100000000000000000e+01, -1.120424861997309174e+00 -1.200000000000000000e+01, -1.412659119472625902e+00 -1.300000000000000000e+01, -1.548239155999075578e+00 -1.400000000000000000e+01, -1.809285549631769907e+00 -1.500000000000000000e+01, -2.137325942955282887e+00 -1.600000000000000000e+01, -2.362991469645829401e+00 -1.700000000000000000e+01, -2.572332724001630044e+00 -1.800000000000000000e+01, -2.798182634154116499e+00 -1.900000000000000000e+01, -3.079141588334856294e+00 -2.000000000000000000e+01, -3.231035665351029262e+00 -2.100000000000000000e+01, -3.518471455018865157e+00 -2.200000000000000000e+01, -3.656636410029000750e+00 -2.300000000000000000e+01, -3.914927360408367196e+00 -2.400000000000000000e+01, -4.131116201932676368e+00 -2.500000000000000000e+01, -4.333303171890936945e+00 -2.600000000000000000e+01, -4.540730664282088824e+00 -2.700000000000000000e+01, -4.739963525361751806e+00 -2.800000000000000000e+01, -4.926211338201038181e+00 -2.900000000000000000e+01, -5.115240895381710118e+00 -3.000000000000000000e+01, -5.290626613459185279e+00 -3.100000000000000000e+01, -5.516055470414299222e+00 -3.200000000000000000e+01, -5.701454392328042964e+00 -3.300000000000000000e+01, -5.891993020198890818e+00 -3.400000000000000000e+01, -6.067117734857411016e+00 -3.500000000000000000e+01, -6.244257216975642955e+00 -3.600000000000000000e+01, -6.418255330969111938e+00 -3.700000000000000000e+01, -6.603422676838289540e+00 -3.800000000000000000e+01, -6.777549619493424160e+00 -3.900000000000000000e+01, -6.985527669826463892e+00 -4.000000000000000000e+01, -7.119591738590041352e+00 -4.100000000000000000e+01, -7.310279011223743240e+00 -4.200000000000000000e+01, -7.455465905271980276e+00 -4.300000000000000000e+01, -7.671160577519535728e+00 -4.400000000000000000e+01, -7.811185250085681098e+00 -4.500000000000000000e+01, -7.997015364765855061e+00 -4.600000000000000000e+01, -8.164675486140163585e+00 -4.700000000000000000e+01, -8.328104995291848667e+00 -4.800000000000000000e+01, -8.510844302168763420e+00 -4.900000000000000000e+01, -8.642312068513845702e+00 -5.000000000000000000e+01, -8.825045006499474098e+00 -5.100000000000000000e+01, -8.995243694065669260e+00 -5.200000000000000000e+01, -9.153572015053569544e+00 -5.300000000000000000e+01, -9.309599248501349678e+00 -5.400000000000000000e+01, -9.489239217609730659e+00 -5.500000000000000000e+01, -9.646222497980676991e+00 -5.600000000000000000e+01, -9.807151738484016334e+00 -5.700000000000000000e+01, -9.942948475128682517e+00 -5.800000000000000000e+01, -1.011933796442750655e+01 -5.900000000000000000e+01, -1.027380884931739580e+01 -6.000000000000000000e+01, -1.044147479461508254e+01 -6.100000000000000000e+01, -1.059731245037559333e+01 -6.200000000000000000e+01, -1.074596214623346668e+01 -6.300000000000000000e+01, -1.090873982265036624e+01 -6.400000000000000000e+01, -1.105956128268740102e+01 -6.500000000000000000e+01, -1.121859027355611182e+01 -6.600000000000000000e+01, -1.139184315371316636e+01 -6.700000000000000000e+01, -1.153062864168841628e+01 -6.800000000000000000e+01, -1.169291899114164579e+01 -6.900000000000000000e+01, -1.184040050149194201e+01 -7.000000000000000000e+01, -1.198387003743496138e+01 -7.100000000000000000e+01, -1.216766535639860614e+01 -7.200000000000000000e+01, -1.228703884088806575e+01 -7.300000000000000000e+01, -1.246930223771911450e+01 -7.400000000000000000e+01, -1.260287411942289992e+01 -7.500000000000000000e+01, -1.275548878364852712e+01 -7.600000000000000000e+01, -1.292699688618449372e+01 -7.700000000000000000e+01, -1.305846915767250316e+01 -7.800000000000000000e+01, -1.322454618682573013e+01 -7.900000000000000000e+01, -1.335503296865521961e+01 -8.000000000000000000e+01, -1.352827280447336022e+01 -8.100000000000000000e+01, -1.366686389132370216e+01 -8.200000000000000000e+01, -1.382098049540148033e+01 -8.300000000000000000e+01, -1.397369942369799745e+01 -8.400000000000000000e+01, -1.411036916406806974e+01 -8.500000000000000000e+01, -1.428392057080442434e+01 -8.600000000000000000e+01, -1.440808925651467831e+01 -8.700000000000000000e+01, -1.457396035954983482e+01 -8.800000000000000000e+01, -1.471041297661467873e+01 -8.900000000000000000e+01, -1.486219902439080087e+01 -9.000000000000000000e+01, -1.501108003132774549e+01 -9.100000000000000000e+01, -1.515690280658902545e+01 -9.200000000000000000e+01, -1.530418743685170924e+01 -9.300000000000000000e+01, -1.546011505612333536e+01 -9.400000000000000000e+01, -1.559984736817237128e+01 -9.500000000000000000e+01, -1.574743431508541391e+01 -9.600000000000000000e+01, -1.589580322493656439e+01 -9.700000000000000000e+01, -1.603622865699435351e+01 -9.800000000000000000e+01, -1.617578305533579552e+01 -9.900000000000000000e+01, -1.633542282713266403e+01 -1.000000000000000000e+02, -1.647902607014358267e+01 -1.010000000000000000e+02, -1.662262871280618626e+01 -1.020000000000000000e+02, -1.676828974466678801e+01 -1.030000000000000000e+02, -1.690773633528517195e+01 -1.040000000000000000e+02, -1.705239676071872523e+01 -1.050000000000000000e+02, -1.720521366041658951e+01 -1.060000000000000000e+02, -1.733760425879853884e+01 -1.070000000000000000e+02, -1.748349767159714219e+01 -1.080000000000000000e+02, -1.762473064476509066e+01 -1.090000000000000000e+02, -1.777694367305094048e+01 -1.100000000000000000e+02, -1.790547544055207396e+01 -1.110000000000000000e+02, -1.805858402563503518e+01 -1.120000000000000000e+02, -1.820262193840907372e+01 -1.130000000000000000e+02, -1.833852889642275485e+01 -1.140000000000000000e+02, -1.847966619940147481e+01 -1.150000000000000000e+02, -1.862069846202536638e+01 -1.160000000000000000e+02, -1.876640706079786725e+01 -1.170000000000000000e+02, -1.890936207999429897e+01 -1.180000000000000000e+02, -1.902608454509998737e+01 -1.190000000000000000e+02, -1.919145220662456097e+01 -1.200000000000000000e+02, -1.931779075531325773e+01 -1.210000000000000000e+02, -1.946768987521062755e+01 -1.220000000000000000e+02, -1.960094435052256756e+01 -1.230000000000000000e+02, -1.973388499012535391e+01 -1.240000000000000000e+02, -1.987334623010796619e+01 -1.250000000000000000e+02, -2.000766127069197964e+01 -1.260000000000000000e+02, -2.015681098086875878e+01 -1.270000000000000000e+02, -2.028395106159691608e+01 -1.280000000000000000e+02, -2.042022086649038215e+01 -1.290000000000000000e+02, -2.055947146492765398e+01 -1.300000000000000000e+02, -2.069422446158164419e+01 -1.310000000000000000e+02, -2.082473156641076528e+01 -1.320000000000000000e+02, -2.096297972395478837e+01 -1.330000000000000000e+02, -2.109761136288399541e+01 -1.340000000000000000e+02, -2.123636856562029962e+01 -1.350000000000000000e+02, -2.135777113009109485e+01 -1.360000000000000000e+02, -2.149031089924934790e+01 -1.370000000000000000e+02, -2.162859327691471378e+01 -1.380000000000000000e+02, -2.176440498668564416e+01 -1.390000000000000000e+02, -2.188930220657508130e+01 -1.400000000000000000e+02, -2.202241886813228433e+01 -1.410000000000000000e+02, -2.214494864451084410e+01 -1.420000000000000000e+02, -2.228019642640059672e+01 -1.430000000000000000e+02, -2.240812244184508017e+01 -1.440000000000000000e+02, -2.253269907806379280e+01 -1.450000000000000000e+02, -2.266215386908534768e+01 -1.460000000000000000e+02, -2.278452287730069514e+01 -1.470000000000000000e+02, -2.291550287080328729e+01 -1.480000000000000000e+02, -2.303317593908768401e+01 -1.490000000000000000e+02, -2.316444539665599223e+01 -1.500000000000000000e+02, -2.328860256544468754e+01 -1.510000000000000000e+02, -2.341597799688054593e+01 -1.520000000000000000e+02, -2.352290291175413017e+01 -1.530000000000000000e+02, -2.364921571668405775e+01 -1.540000000000000000e+02, -2.377958262584632010e+01 -1.550000000000000000e+02, -2.388501727540013064e+01 -1.560000000000000000e+02, -2.401266592497317731e+01 -1.570000000000000000e+02, -2.412575611044385937e+01 -1.580000000000000000e+02, -2.424452375356617750e+01 -1.590000000000000000e+02, -2.435910732322260586e+01 -1.600000000000000000e+02, -2.447681528689749442e+01 -1.610000000000000000e+02, -2.458264827719017376e+01 -1.620000000000000000e+02, -2.470689699892170310e+01 -1.630000000000000000e+02, -2.480973242680349244e+01 -1.640000000000000000e+02, -2.492006608155381997e+01 -1.650000000000000000e+02, -2.503093875610133523e+01 -1.660000000000000000e+02, -2.514316983529151628e+01 -1.670000000000000000e+02, -2.524438933102356941e+01 -1.680000000000000000e+02, -2.535723282071170814e+01 -1.690000000000000000e+02, -2.545334874527053515e+01 -1.700000000000000000e+02, -2.556305080757795523e+01 -1.710000000000000000e+02, -2.566319374686167620e+01 -1.720000000000000000e+02, -2.576313350900780819e+01 -1.730000000000000000e+02, -2.587556151782068170e+01 -1.740000000000000000e+02, -2.596053251943765616e+01 -1.750000000000000000e+02, -2.606060829974464355e+01 -1.760000000000000000e+02, -2.615541108305839302e+01 -1.770000000000000000e+02, -2.625595453045422545e+01 -1.780000000000000000e+02, -2.634835898969046397e+01 -1.790000000000000000e+02, -2.643494823462562593e+01 -1.800000000000000000e+02, -2.653046296627566747e+01 -1.810000000000000000e+02, -2.661375542253994197e+01 -1.820000000000000000e+02, -2.670386393795123325e+01 -1.830000000000000000e+02, -2.679129152358382981e+01 -1.840000000000000000e+02, -2.686930185359091894e+01 -1.850000000000000000e+02, -2.695443688045056518e+01 -1.860000000000000000e+02, -2.703128548584980351e+01 -1.870000000000000000e+02, -2.710211001563062183e+01 -1.880000000000000000e+02, -2.718396122297320261e+01 -1.890000000000000000e+02, -2.725666300080743554e+01 -1.900000000000000000e+02, -2.731810975338737535e+01 -1.910000000000000000e+02, -2.738160471994578415e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE095 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE095 deleted file mode 100644 index a2d14a3c..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE095 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.023521177895491796e+00 -2.000000000000000000e+00, 2.301599156691521486e+00 -3.000000000000000000e+00, 1.676937141224935868e+00 -4.000000000000000000e+00, 1.014388178667285478e+00 -5.000000000000000000e+00, 8.441655690062656037e-01 -6.000000000000000000e+00, 5.623765946317100806e-01 -7.000000000000000000e+00, 1.152027298263233607e-01 -8.000000000000000000e+00, -9.121439349484367076e-02 -9.000000000000000000e+00, -2.893514280471277123e-01 -1.000000000000000000e+01, -5.366466456474388025e-01 -1.100000000000000000e+01, -9.324100819641877314e-01 -1.200000000000000000e+01, -1.205264224619454705e+00 -1.300000000000000000e+01, -1.322346508407921117e+00 -1.400000000000000000e+01, -1.563577382880962485e+00 -1.500000000000000000e+01, -1.873257562823207767e+00 -1.600000000000000000e+01, -2.082192325156371648e+00 -1.700000000000000000e+01, -2.274932443007315452e+00 -1.800000000000000000e+01, -2.484570483139941555e+00 -1.900000000000000000e+01, -2.749962486069046808e+00 -2.000000000000000000e+01, -2.886156477914585849e+00 -2.100000000000000000e+01, -3.158179391385098178e+00 -2.200000000000000000e+01, -3.281470683387734066e+00 -2.300000000000000000e+01, -3.524955153739646185e+00 -2.400000000000000000e+01, -3.726400306283927488e+00 -2.500000000000000000e+01, -3.914983566370865642e+00 -2.600000000000000000e+01, -4.107952635279863429e+00 -2.700000000000000000e+01, -4.293669224241916993e+00 -2.800000000000000000e+01, -4.466726436916675702e+00 -2.900000000000000000e+01, -4.641443868064014211e+00 -3.000000000000000000e+01, -4.803628382962010335e+00 -3.100000000000000000e+01, -5.015639315066207971e+00 -3.200000000000000000e+01, -5.188038730064191029e+00 -3.300000000000000000e+01, -5.365341905059849203e+00 -3.400000000000000000e+01, -5.527382697403779410e+00 -3.500000000000000000e+01, -5.691411940472694830e+00 -3.600000000000000000e+01, -5.852665955250339280e+00 -3.700000000000000000e+01, -6.024695812065736789e+00 -3.800000000000000000e+01, -6.185286748530007372e+00 -3.900000000000000000e+01, -6.380409626989739458e+00 -4.000000000000000000e+01, -6.501503924467324502e+00 -4.100000000000000000e+01, -6.679509182907349185e+00 -4.200000000000000000e+01, -6.811396178099819565e+00 -4.300000000000000000e+01, -7.014508169346699518e+00 -4.400000000000000000e+01, -7.141813516498383585e+00 -4.500000000000000000e+01, -7.314915712869924036e+00 -4.600000000000000000e+01, -7.469608695116261465e+00 -4.700000000000000000e+01, -7.620103830258452504e+00 -4.800000000000000000e+01, -7.789905992129458667e+00 -4.900000000000000000e+01, -7.908672832620093018e+00 -5.000000000000000000e+01, -8.078795110524000123e+00 -5.100000000000000000e+01, -8.235948641921954305e+00 -5.200000000000000000e+01, -8.381564884757533918e+00 -5.300000000000000000e+01, -8.524643609336573391e+00 -5.400000000000000000e+01, -8.691338235586046679e+00 -5.500000000000000000e+01, -8.835454259769861096e+00 -5.600000000000000000e+01, -8.983895472239408875e+00 -5.700000000000000000e+01, -9.106745728803089079e+00 -5.800000000000000000e+01, -9.270027716016262076e+00 -5.900000000000000000e+01, -9.411657706567462256e+00 -6.000000000000000000e+01, -9.566489391726191727e+00 -6.100000000000000000e+01, -9.709492680229191208e+00 -6.200000000000000000e+01, -9.845599021018603736e+00 -6.300000000000000000e+01, -9.995323432097466210e+00 -6.400000000000000000e+01, -1.013346250943660998e+01 -6.500000000000000000e+01, -1.027961586166571450e+01 -6.600000000000000000e+01, -1.044008761238982963e+01 -6.700000000000000000e+01, -1.056620248125828532e+01 -6.800000000000000000e+01, -1.071580884312485260e+01 -6.900000000000000000e+01, -1.085041943996002978e+01 -7.000000000000000000e+01, -1.098099003605343427e+01 -7.100000000000000000e+01, -1.115208765071561281e+01 -7.200000000000000000e+01, -1.125869456282202385e+01 -7.300000000000000000e+01, -1.142807828143572735e+01 -7.400000000000000000e+01, -1.154896078867670361e+01 -7.500000000000000000e+01, -1.168875608878853534e+01 -7.600000000000000000e+01, -1.184739861352164247e+01 -7.700000000000000000e+01, -1.196644658897164781e+01 -7.800000000000000000e+01, -1.211980766653769592e+01 -7.900000000000000000e+01, -1.223756955962278248e+01 -8.000000000000000000e+01, -1.239808704216846635e+01 -8.100000000000000000e+01, -1.252402220749371153e+01 -8.200000000000000000e+01, -1.266555244633539346e+01 -8.300000000000000000e+01, -1.280546572651413761e+01 -8.400000000000000000e+01, -1.292980448893247392e+01 -8.500000000000000000e+01, -1.309083943025858865e+01 -8.600000000000000000e+01, -1.320250141477559502e+01 -8.700000000000000000e+01, -1.335597819951461496e+01 -8.800000000000000000e+01, -1.347973195901347587e+01 -8.900000000000000000e+01, -1.361904527355923555e+01 -9.000000000000000000e+01, -1.375538681586438017e+01 -9.100000000000000000e+01, -1.388893998922530848e+01 -9.200000000000000000e+01, -1.402379395468248902e+01 -9.300000000000000000e+01, -1.416728301567995807e+01 -9.400000000000000000e+01, -1.429486324858215696e+01 -9.500000000000000000e+01, -1.443002344955509564e+01 -9.600000000000000000e+01, -1.456615766314733484e+01 -9.700000000000000000e+01, -1.469437140121075025e+01 -9.800000000000000000e+01, -1.482158216181609589e+01 -9.900000000000000000e+01, -1.496890507141615068e+01 -1.000000000000000000e+02, -1.510040807335219704e+01 -1.010000000000000000e+02, -1.523180699602531263e+01 -1.020000000000000000e+02, -1.536554151985173355e+01 -1.030000000000000000e+02, -1.549276223929401297e+01 -1.040000000000000000e+02, -1.562540870768279611e+01 -1.050000000000000000e+02, -1.576602388866019311e+01 -1.060000000000000000e+02, -1.588647968055740023e+01 -1.070000000000000000e+02, -1.602036968091338309e+01 -1.080000000000000000e+02, -1.614980272498677394e+01 -1.090000000000000000e+02, -1.628977492475901201e+01 -1.100000000000000000e+02, -1.640651338493270117e+01 -1.110000000000000000e+02, -1.654785633161194269e+01 -1.120000000000000000e+02, -1.668000471381246541e+01 -1.130000000000000000e+02, -1.680418281832650251e+01 -1.140000000000000000e+02, -1.693362744642372775e+01 -1.150000000000000000e+02, -1.706290673664206636e+01 -1.160000000000000000e+02, -1.719691086219892284e+01 -1.170000000000000000e+02, -1.732827455010881934e+01 -1.180000000000000000e+02, -1.743343112824647179e+01 -1.190000000000000000e+02, -1.758740325600832222e+01 -1.200000000000000000e+02, -1.770212996848543696e+01 -1.210000000000000000e+02, -1.784055039051643732e+01 -1.220000000000000000e+02, -1.796256985740474121e+01 -1.230000000000000000e+02, -1.808426643977801618e+01 -1.240000000000000000e+02, -1.821241946540065726e+01 -1.250000000000000000e+02, -1.833549285685278463e+01 -1.260000000000000000e+02, -1.847365420516056389e+01 -1.270000000000000000e+02, -1.858980140531538083e+01 -1.280000000000000000e+02, -1.871506186752253953e+01 -1.290000000000000000e+02, -1.884337282294995930e+01 -1.300000000000000000e+02, -1.896752494344038809e+01 -1.310000000000000000e+02, -1.908728771561760240e+01 -1.320000000000000000e+02, -1.921487432195579714e+01 -1.330000000000000000e+02, -1.933898697858430893e+01 -1.340000000000000000e+02, -1.946740879004907754e+01 -1.350000000000000000e+02, -1.957865490879799708e+01 -1.360000000000000000e+02, -1.970080915383337938e+01 -1.370000000000000000e+02, -1.982895928048579748e+01 -1.380000000000000000e+02, -1.995500056214899587e+01 -1.390000000000000000e+02, -2.007016999847144589e+01 -1.400000000000000000e+02, -2.019363020305997480e+01 -1.410000000000000000e+02, -2.030661608501036497e+01 -1.420000000000000000e+02, -2.043260477835019628e+01 -1.430000000000000000e+02, -2.055133894881690537e+01 -1.440000000000000000e+02, -2.066679956109279459e+01 -1.450000000000000000e+02, -2.078738619467048210e+01 -1.460000000000000000e+02, -2.090116313245438207e+01 -1.470000000000000000e+02, -2.102389979021563349e+01 -1.480000000000000000e+02, -2.113298224140077863e+01 -1.490000000000000000e+02, -2.125636464417048899e+01 -1.500000000000000000e+02, -2.137265583105547861e+01 -1.510000000000000000e+02, -2.149252658861825793e+01 -1.520000000000000000e+02, -2.159214399207626656e+01 -1.530000000000000000e+02, -2.171125902268535768e+01 -1.540000000000000000e+02, -2.183489488933875222e+01 -1.550000000000000000e+02, -2.193377139608263704e+01 -1.560000000000000000e+02, -2.205499540097766342e+01 -1.570000000000000000e+02, -2.216211909969531035e+01 -1.580000000000000000e+02, -2.227536736606498735e+01 -1.590000000000000000e+02, -2.238452740099533500e+01 -1.600000000000000000e+02, -2.249698162128717271e+01 -1.610000000000000000e+02, -2.259805774206486717e+01 -1.620000000000000000e+02, -2.271784810373295116e+01 -1.630000000000000000e+02, -2.281658541295179532e+01 -1.640000000000000000e+02, -2.292327016029802422e+01 -1.650000000000000000e+02, -2.303049334535580073e+01 -1.660000000000000000e+02, -2.313974801255311675e+01 -1.670000000000000000e+02, -2.323820659206760553e+01 -1.680000000000000000e+02, -2.334868369564965462e+01 -1.690000000000000000e+02, -2.344281833233479517e+01 -1.700000000000000000e+02, -2.355083761755721028e+01 -1.710000000000000000e+02, -2.364970115335961864e+01 -1.720000000000000000e+02, -2.374866621160900948e+01 -1.730000000000000000e+02, -2.386062374173807754e+01 -1.740000000000000000e+02, -2.394523884789889223e+01 -1.750000000000000000e+02, -2.404561559067602516e+01 -1.760000000000000000e+02, -2.414085224330728607e+01 -1.770000000000000000e+02, -2.424232851412187983e+01 -1.780000000000000000e+02, -2.433597564960471971e+01 -1.790000000000000000e+02, -2.442403054343403923e+01 -1.800000000000000000e+02, -2.452158223189826103e+01 -1.810000000000000000e+02, -2.460706356828724495e+01 -1.820000000000000000e+02, -2.469977509399202376e+01 -1.830000000000000000e+02, -2.478995365422661479e+01 -1.840000000000000000e+02, -2.487121916115245668e+01 -1.850000000000000000e+02, -2.495976582605693395e+01 -1.860000000000000000e+02, -2.504031009220640414e+01 -1.870000000000000000e+02, -2.511505870303293619e+01 -1.880000000000000000e+02, -2.520113397004178424e+01 -1.890000000000000000e+02, -2.527805332458660459e+01 -1.900000000000000000e+02, -2.534397117993140824e+01 -1.910000000000000000e+02, -2.541196588066170747e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE103 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE103 deleted file mode 100644 index 199bbb25..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE103 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.135423855582217367e+00 -2.000000000000000000e+00, 2.390183668070053002e+00 -3.000000000000000000e+00, 1.733726680167577028e+00 -4.000000000000000000e+00, 1.060558982894954871e+00 -5.000000000000000000e+00, 9.023629002607010952e-01 -6.000000000000000000e+00, 6.395391992613591592e-01 -7.000000000000000000e+00, 2.194074789252282720e-01 -8.000000000000000000e+00, 3.578397195907900841e-02 -9.000000000000000000e+00, -1.468894337677384976e-01 -1.000000000000000000e+01, -3.732696207765310303e-01 -1.100000000000000000e+01, -7.459143126236167376e-01 -1.200000000000000000e+01, -9.991872870369635784e-01 -1.300000000000000000e+01, -1.098627431338327076e+00 -1.400000000000000000e+01, -1.319823601872872620e+00 -1.500000000000000000e+01, -1.611746442786913036e+00 -1.600000000000000000e+01, -1.803711493033411273e+00 -1.700000000000000000e+01, -1.979555554835490172e+00 -1.800000000000000000e+01, -2.172748140643784076e+00 -1.900000000000000000e+01, -2.421475430925712491e+00 -2.000000000000000000e+01, -2.542872435888063443e+00 -2.100000000000000000e+01, -2.799718974231222735e+00 -2.200000000000000000e+01, -2.908561457128829630e+00 -2.300000000000000000e+01, -3.136835569967711734e+00 -2.400000000000000000e+01, -3.324943834076468985e+00 -2.500000000000000000e+01, -3.498384570264831961e+00 -2.600000000000000000e+01, -3.678431490540804649e+00 -2.700000000000000000e+01, -3.849918084518775707e+00 -2.800000000000000000e+01, -4.010165779132941921e+00 -2.900000000000000000e+01, -4.171661308316570782e+00 -3.000000000000000000e+01, -4.320347216746287522e+00 -3.100000000000000000e+01, -4.519328520171214336e+00 -3.200000000000000000e+01, -4.678474420936581168e+00 -3.300000000000000000e+01, -4.843046204732132765e+00 -3.400000000000000000e+01, -4.992304859779343573e+00 -3.500000000000000000e+01, -5.144012325111962269e+00 -3.600000000000000000e+01, -5.292367390591389054e+00 -3.700000000000000000e+01, -5.451786711024904086e+00 -3.800000000000000000e+01, -5.600398982509090295e+00 -3.900000000000000000e+01, -5.782870985084953119e+00 -4.000000000000000000e+01, -5.891989105014658890e+00 -4.100000000000000000e+01, -6.057373251725570285e+00 -4.200000000000000000e+01, -6.176914186042307797e+00 -4.300000000000000000e+01, -6.367410773780205702e+00 -4.400000000000000000e+01, -6.482580336604744531e+00 -4.500000000000000000e+01, -6.643114782669833573e+00 -4.600000000000000000e+01, -6.785384787503794257e+00 -4.700000000000000000e+01, -6.924149063736699361e+00 -4.800000000000000000e+01, -7.081670016967485104e+00 -4.900000000000000000e+01, -7.188297868761698517e+00 -5.000000000000000000e+01, -7.345901653975864143e+00 -5.100000000000000000e+01, -7.491150386552667406e+00 -5.200000000000000000e+01, -7.624300444957879286e+00 -5.300000000000000000e+01, -7.755277107828184135e+00 -5.400000000000000000e+01, -7.909774841135926771e+00 -5.500000000000000000e+01, -8.041924367379314376e+00 -5.600000000000000000e+01, -8.178016479940891870e+00 -5.700000000000000000e+01, -8.288660359033386271e+00 -5.800000000000000000e+01, -8.439819247459059426e+00 -5.900000000000000000e+01, -8.569054275687802757e+00 -6.000000000000000000e+01, -8.711606049583764388e+00 -6.100000000000000000e+01, -8.842529333236978317e+00 -6.200000000000000000e+01, -8.966334675592742443e+00 -6.300000000000000000e+01, -9.103605391694232551e+00 -6.400000000000000000e+01, -9.229481617461456011e+00 -6.500000000000000000e+01, -9.363421167202274020e+00 -6.600000000000000000e+01, -9.511564418175462166e+00 -6.700000000000000000e+01, -9.625535127391946943e+00 -6.800000000000000000e+01, -9.763153387037171171e+00 -6.900000000000000000e+01, -9.885622443077599186e+00 -7.000000000000000000e+01, -1.000379284781653055e+01 -7.100000000000000000e+01, -1.016274869273360260e+01 -7.200000000000000000e+01, -1.025718229167662088e+01 -7.300000000000000000e+01, -1.041422957341587008e+01 -7.400000000000000000e+01, -1.052299061338784014e+01 -7.500000000000000000e+01, -1.065054881224464367e+01 -7.600000000000000000e+01, -1.079714889581446080e+01 -7.700000000000000000e+01, -1.090407604014994725e+01 -7.800000000000000000e+01, -1.104527525667658949e+01 -7.900000000000000000e+01, -1.115084558551457228e+01 -8.000000000000000000e+01, -1.129933147502885049e+01 -8.100000000000000000e+01, -1.141310607237926078e+01 -8.200000000000000000e+01, -1.154260285668108743e+01 -8.300000000000000000e+01, -1.167068978364693876e+01 -8.400000000000000000e+01, -1.178262383100388355e+01 -8.500000000000000000e+01, -1.193167201085367246e+01 -8.600000000000000000e+01, -1.203149402922342404e+01 -8.700000000000000000e+01, -1.217283266331507008e+01 -8.800000000000000000e+01, -1.228471527229563875e+01 -8.900000000000000000e+01, -1.241192049645000850e+01 -9.000000000000000000e+01, -1.253649784745442730e+01 -9.100000000000000000e+01, -1.265796392443668594e+01 -9.200000000000000000e+01, -1.278098263100607568e+01 -9.300000000000000000e+01, -1.291252916194592970e+01 -9.400000000000000000e+01, -1.302820971164142705e+01 -9.500000000000000000e+01, -1.315163849687291631e+01 -9.600000000000000000e+01, -1.327582561049153576e+01 -9.700000000000000000e+01, -1.339241966908994996e+01 -9.800000000000000000e+01, -1.350778419120348772e+01 -9.900000000000000000e+01, -1.364327731041278646e+01 -1.000000000000000000e+02, -1.376325728651382718e+01 -1.010000000000000000e+02, -1.388281808984882204e+01 -1.020000000000000000e+02, -1.400486361132280422e+01 -1.030000000000000000e+02, -1.412056641047800021e+01 -1.040000000000000000e+02, -1.424148036440881171e+01 -1.050000000000000000e+02, -1.437063557079747689e+01 -1.060000000000000000e+02, -1.447974667610270316e+01 -1.070000000000000000e+02, -1.460205523799108462e+01 -1.080000000000000000e+02, -1.472002220774302117e+01 -1.090000000000000000e+02, -1.484862265171696016e+01 -1.100000000000000000e+02, -1.495392784536775288e+01 -1.110000000000000000e+02, -1.508383507862518336e+01 -1.120000000000000000e+02, -1.520486378421017548e+01 -1.130000000000000000e+02, -1.531779994165277081e+01 -1.140000000000000000e+02, -1.543602281630994000e+01 -1.150000000000000000e+02, -1.555416791859735781e+01 -1.160000000000000000e+02, -1.567710203503435196e+01 -1.170000000000000000e+02, -1.579732389734512843e+01 -1.180000000000000000e+02, -1.589153745930737394e+01 -1.190000000000000000e+02, -1.603447525087950609e+01 -1.200000000000000000e+02, -1.613842408122138039e+01 -1.210000000000000000e+02, -1.626601261474616678e+01 -1.220000000000000000e+02, -1.637720152512197203e+01 -1.230000000000000000e+02, -1.648818523661672231e+01 -1.240000000000000000e+02, -1.660567706551370648e+01 -1.250000000000000000e+02, -1.671811406558122215e+01 -1.260000000000000000e+02, -1.684563091805073398e+01 -1.270000000000000000e+02, -1.695139520617458118e+01 -1.280000000000000000e+02, -1.706621427352180476e+01 -1.290000000000000000e+02, -1.718412657425411538e+01 -1.300000000000000000e+02, -1.729806101633551663e+01 -1.310000000000000000e+02, -1.740748158552349878e+01 -1.320000000000000000e+02, -1.752490832887830052e+01 -1.330000000000000000e+02, -1.763890263769593503e+01 -1.340000000000000000e+02, -1.775753184756179692e+01 -1.350000000000000000e+02, -1.785876004660420335e+01 -1.360000000000000000e+02, -1.797110859023206331e+01 -1.370000000000000000e+02, -1.808950178748840898e+01 -1.380000000000000000e+02, -1.820592646051025554e+01 -1.390000000000000000e+02, -1.831169159340853625e+01 -1.400000000000000000e+02, -1.842554231103893514e+01 -1.410000000000000000e+02, -1.852921554112072045e+01 -1.420000000000000000e+02, -1.864596887630672839e+01 -1.430000000000000000e+02, -1.875561469854185148e+01 -1.440000000000000000e+02, -1.886195418158143866e+01 -1.450000000000000000e+02, -1.897369504695847553e+01 -1.460000000000000000e+02, -1.907881518478212612e+01 -1.470000000000000000e+02, -1.919284446191587179e+01 -1.480000000000000000e+02, -1.929330180222081381e+01 -1.490000000000000000e+02, -1.940827749475981534e+01 -1.500000000000000000e+02, -1.951636983143232484e+01 -1.510000000000000000e+02, -1.962819576293998480e+01 -1.520000000000000000e+02, -1.971979751931499081e+01 -1.530000000000000000e+02, -1.983103439852776262e+01 -1.540000000000000000e+02, -1.994706857242325171e+01 -1.550000000000000000e+02, -2.003847194978729007e+01 -1.560000000000000000e+02, -2.015225295848932063e+01 -1.570000000000000000e+02, -2.025220583959029952e+01 -1.580000000000000000e+02, -2.035852967318401952e+01 -1.590000000000000000e+02, -2.046076774952582156e+01 -1.600000000000000000e+02, -2.056667966491287913e+01 -1.610000000000000000e+02, -2.066124351530378433e+01 -1.620000000000000000e+02, -2.077497346962901403e+01 -1.630000000000000000e+02, -2.086756070278670805e+01 -1.640000000000000000e+02, -2.096826745917458368e+01 -1.650000000000000000e+02, -2.106980310147505975e+01 -1.660000000000000000e+02, -2.117356157889752311e+01 -1.670000000000000000e+02, -2.126690561362315179e+01 -1.680000000000000000e+02, -2.137219210473551456e+01 -1.690000000000000000e+02, -2.146150794040342547e+01 -1.700000000000000000e+02, -2.156483661699253318e+01 -1.710000000000000000e+02, -2.165942898437330655e+01 -1.720000000000000000e+02, -2.175421409362647296e+01 -1.730000000000000000e+02, -2.186204804729708684e+01 -1.740000000000000000e+02, -2.194305483815029234e+01 -1.750000000000000000e+02, -2.203985671997361706e+01 -1.760000000000000000e+02, -2.213172689289160999e+01 -1.770000000000000000e+02, -2.223020603849543519e+01 -1.780000000000000000e+02, -2.232092093342761530e+01 -1.790000000000000000e+02, -2.240647358364996578e+01 -1.800000000000000000e+02, -2.250160151897897620e+01 -1.810000000000000000e+02, -2.258477587942961051e+01 -1.820000000000000000e+02, -2.267552697517218974e+01 -1.830000000000000000e+02, -2.276400435683943257e+01 -1.840000000000000000e+02, -2.284378190678354059e+01 -1.850000000000000000e+02, -2.293083914013047675e+01 -1.860000000000000000e+02, -2.301047233126253388e+01 -1.870000000000000000e+02, -2.308416729458398109e+01 -1.880000000000000000e+02, -2.316983431584618103e+01 -1.890000000000000000e+02, -2.324611447641418849e+01 -1.900000000000000000e+02, -2.331170916233864787e+01 -1.910000000000000000e+02, -2.337985514232678597e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE111 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE111 deleted file mode 100644 index 7d5cc139..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE111 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.206984124882239051e+00 -2.000000000000000000e+00, 2.465259694460582907e+00 -3.000000000000000000e+00, 1.777673617032525355e+00 -4.000000000000000000e+00, 1.097858433261197586e+00 -5.000000000000000000e+00, 9.336627704920588133e-01 -6.000000000000000000e+00, 6.908019182565623417e-01 -7.000000000000000000e+00, 2.869809816619289800e-01 -8.000000000000000000e+00, 1.174748821468643983e-01 -9.000000000000000000e+00, -4.289579716934925624e-02 -1.000000000000000000e+01, -2.511973353411271481e-01 -1.100000000000000000e+01, -6.060196717668164812e-01 -1.200000000000000000e+01, -8.426702714274565409e-01 -1.300000000000000000e+01, -9.247604065748363800e-01 -1.400000000000000000e+01, -1.129785269782312085e+00 -1.500000000000000000e+01, -1.405977791170225588e+00 -1.600000000000000000e+01, -1.583469865454153913e+00 -1.700000000000000000e+01, -1.743811503209657499e+00 -1.800000000000000000e+01, -1.922511205190497563e+00 -1.900000000000000000e+01, -2.158162486202482633e+00 -2.000000000000000000e+01, -2.266898366823676181e+00 -2.100000000000000000e+01, -2.510589086128568681e+00 -2.200000000000000000e+01, -2.606883383402436749e+00 -2.300000000000000000e+01, -2.821947761964578305e+00 -2.400000000000000000e+01, -2.997012689223793824e+00 -2.500000000000000000e+01, -3.159583556301198470e+00 -2.600000000000000000e+01, -3.327443919724280441e+00 -2.700000000000000000e+01, -3.488666982301843689e+00 -2.800000000000000000e+01, -3.637327432492590162e+00 -2.900000000000000000e+01, -3.787855946448265954e+00 -3.000000000000000000e+01, -3.924829080201535980e+00 -3.100000000000000000e+01, -4.112956437223782125e+00 -3.200000000000000000e+01, -4.262007352543632166e+00 -3.300000000000000000e+01, -4.415774068252841467e+00 -3.400000000000000000e+01, -4.554950922114413991e+00 -3.500000000000000000e+01, -4.696265989384614592e+00 -3.600000000000000000e+01, -4.834555123607402471e+00 -3.700000000000000000e+01, -4.983607786476091484e+00 -3.800000000000000000e+01, -5.122254728702973381e+00 -3.900000000000000000e+01, -5.294994253746590829e+00 -4.000000000000000000e+01, -5.393829673789398704e+00 -4.100000000000000000e+01, -5.548964340496505443e+00 -4.200000000000000000e+01, -5.658822145306412033e+00 -4.300000000000000000e+01, -5.839256785622109369e+00 -4.400000000000000000e+01, -5.944711401486383551e+00 -4.500000000000000000e+01, -6.095393479950687698e+00 -4.600000000000000000e+01, -6.228180792325550996e+00 -4.700000000000000000e+01, -6.356942401033633061e+00 -4.800000000000000000e+01, -6.504696699728122589e+00 -4.900000000000000000e+01, -6.601498137209410366e+00 -5.000000000000000000e+01, -6.749169936045559481e+00 -5.100000000000000000e+01, -6.884629327955999578e+00 -5.200000000000000000e+01, -7.008359636099700474e+00 -5.300000000000000000e+01, -7.129443491199134009e+00 -5.400000000000000000e+01, -7.274313567604751896e+00 -5.500000000000000000e+01, -7.396931831362095089e+00 -5.600000000000000000e+01, -7.523384554185936324e+00 -5.700000000000000000e+01, -7.624407211205173063e+00 -5.800000000000000000e+01, -7.765641339577219249e+00 -5.900000000000000000e+01, -7.885312339149407990e+00 -6.000000000000000000e+01, -8.018140438081623245e+00 -6.100000000000000000e+01, -8.139432976369269213e+00 -6.200000000000000000e+01, -8.253509394202446003e+00 -6.300000000000000000e+01, -8.381141964305996339e+00 -6.400000000000000000e+01, -8.497286231741830065e+00 -6.500000000000000000e+01, -8.621488499432215846e+00 -6.600000000000000000e+01, -8.760048238663957321e+00 -6.700000000000000000e+01, -8.864544562927134663e+00 -6.800000000000000000e+01, -8.992315903932773580e+00 -6.900000000000000000e+01, -9.105183567744621342e+00 -7.000000000000000000e+01, -9.213714335089186136e+00 -7.100000000000000000e+01, -9.362955509560508816e+00 -7.200000000000000000e+01, -9.447799788867838444e+00 -7.300000000000000000e+01, -9.595319499980911715e+00 -7.400000000000000000e+01, -9.694470842052394843e+00 -7.500000000000000000e+01, -9.812185942667817073e+00 -7.600000000000000000e+01, -9.949377140285486476e+00 -7.700000000000000000e+01, -1.004676124987893537e+01 -7.800000000000000000e+01, -1.017835344285981591e+01 -7.900000000000000000e+01, -1.027434482728238585e+01 -8.000000000000000000e+01, -1.041321699112186572e+01 -8.100000000000000000e+01, -1.051740594269122298e+01 -8.200000000000000000e+01, -1.063735949168782646e+01 -8.300000000000000000e+01, -1.075580217625027224e+01 -8.400000000000000000e+01, -1.085823382221803435e+01 -8.500000000000000000e+01, -1.099774124454854629e+01 -8.600000000000000000e+01, -1.108795615666361023e+01 -8.700000000000000000e+01, -1.121976396371830198e+01 -8.800000000000000000e+01, -1.132224500450865179e+01 -8.900000000000000000e+01, -1.143986273236594720e+01 -9.000000000000000000e+01, -1.155479757461266388e+01 -9.100000000000000000e+01, -1.166688201865861529e+01 -9.200000000000000000e+01, -1.178032851919077117e+01 -9.300000000000000000e+01, -1.190253255341921346e+01 -9.400000000000000000e+01, -1.200879698028143849e+01 -9.500000000000000000e+01, -1.212265154809608170e+01 -9.600000000000000000e+01, -1.223761362831756117e+01 -9.700000000000000000e+01, -1.234458686048634668e+01 -9.800000000000000000e+01, -1.245054236164200567e+01 -9.900000000000000000e+01, -1.257663619648148234e+01 -1.000000000000000000e+02, -1.268721246321820395e+01 -1.010000000000000000e+02, -1.279752192677797851e+01 -1.020000000000000000e+02, -1.291020688186448950e+01 -1.030000000000000000e+02, -1.301658179450252462e+01 -1.040000000000000000e+02, -1.312829618450241576e+01 -1.050000000000000000e+02, -1.324820598592992837e+01 -1.060000000000000000e+02, -1.334788638691378893e+01 -1.070000000000000000e+02, -1.346092737221279911e+01 -1.080000000000000000e+02, -1.356978809290209398e+01 -1.090000000000000000e+02, -1.368904529838288830e+01 -1.100000000000000000e+02, -1.378522793793985279e+01 -1.110000000000000000e+02, -1.390586238430969601e+01 -1.120000000000000000e+02, -1.401782231626240183e+01 -1.130000000000000000e+02, -1.412161033345731731e+01 -1.140000000000000000e+02, -1.423083901216319624e+01 -1.150000000000000000e+02, -1.433999830698176581e+01 -1.160000000000000000e+02, -1.445382516244760929e+01 -1.170000000000000000e+02, -1.456503690042150723e+01 -1.180000000000000000e+02, -1.465043306048306881e+01 -1.190000000000000000e+02, -1.478423674396130849e+01 -1.200000000000000000e+02, -1.487924644452857414e+01 -1.210000000000000000e+02, -1.499799806860409213e+01 -1.220000000000000000e+02, -1.510048239540228288e+01 -1.230000000000000000e+02, -1.520263741936262747e+01 -1.240000000000000000e+02, -1.531136852831458661e+01 -1.250000000000000000e+02, -1.541499238645179837e+01 -1.260000000000000000e+02, -1.553393001403054541e+01 -1.270000000000000000e+02, -1.563107255124413619e+01 -1.280000000000000000e+02, -1.573718129344461403e+01 -1.290000000000000000e+02, -1.584654659958035516e+01 -1.300000000000000000e+02, -1.595191043982884516e+01 -1.310000000000000000e+02, -1.605301015101517592e+01 -1.320000000000000000e+02, -1.616201567595978972e+01 -1.330000000000000000e+02, -1.626753608489358527e+01 -1.340000000000000000e+02, -1.637799876510641539e+01 -1.350000000000000000e+02, -1.647093354132830711e+01 -1.360000000000000000e+02, -1.657504936443072197e+01 -1.370000000000000000e+02, -1.668521334982054682e+01 -1.380000000000000000e+02, -1.679353150381786364e+01 -1.390000000000000000e+02, -1.689127701500427747e+01 -1.400000000000000000e+02, -1.699722089798950719e+01 -1.410000000000000000e+02, -1.709298403739497374e+01 -1.420000000000000000e+02, -1.720189851872530795e+01 -1.430000000000000000e+02, -1.730379365725081442e+01 -1.440000000000000000e+02, -1.740232852691794818e+01 -1.450000000000000000e+02, -1.750656105098965654e+01 -1.460000000000000000e+02, -1.760393051074126447e+01 -1.470000000000000000e+02, -1.771055464154820314e+01 -1.480000000000000000e+02, -1.780343180019768923e+01 -1.490000000000000000e+02, -1.791124566985855893e+01 -1.500000000000000000e+02, -1.801204740335953502e+01 -1.510000000000000000e+02, -1.811674927975560578e+01 -1.520000000000000000e+02, -1.820116226679580507e+01 -1.530000000000000000e+02, -1.830545966688856296e+01 -1.540000000000000000e+02, -1.841464781087175240e+01 -1.550000000000000000e+02, -1.849926358898634504e+01 -1.560000000000000000e+02, -1.860618558000361844e+01 -1.570000000000000000e+02, -1.869953924281918844e+01 -1.580000000000000000e+02, -1.879943030447975261e+01 -1.590000000000000000e+02, -1.889521262658903566e+01 -1.600000000000000000e+02, -1.899481948201781734e+01 -1.610000000000000000e+02, -1.908310373411677574e+01 -1.620000000000000000e+02, -1.919066036738299630e+01 -1.630000000000000000e+02, -1.927725463559889363e+01 -1.640000000000000000e+02, -1.937210604086315158e+01 -1.650000000000000000e+02, -1.946779596597206563e+01 -1.660000000000000000e+02, -1.956597322935345318e+01 -1.670000000000000000e+02, -1.965379475702095391e+01 -1.680000000000000000e+02, -1.975353647742119989e+01 -1.690000000000000000e+02, -1.983754071311971856e+01 -1.700000000000000000e+02, -1.993566721454440582e+01 -1.710000000000000000e+02, -2.002510233047546251e+01 -1.720000000000000000e+02, -2.011477243249580127e+01 -1.730000000000000000e+02, -2.021778705560456046e+01 -1.740000000000000000e+02, -2.029407531732809744e+01 -1.750000000000000000e+02, -2.038617716686708548e+01 -1.760000000000000000e+02, -2.047354084054319046e+01 -1.770000000000000000e+02, -2.056768231338784858e+01 -1.780000000000000000e+02, -2.065392073839495879e+01 -1.790000000000000000e+02, -2.073529441488193825e+01 -1.800000000000000000e+02, -2.082629454933269386e+01 -1.810000000000000000e+02, -2.090562064571346212e+01 -1.820000000000000000e+02, -2.099245464313185394e+01 -1.830000000000000000e+02, -2.107714485079810629e+01 -1.840000000000000000e+02, -2.115335927990519593e+01 -1.850000000000000000e+02, -2.123689044180604668e+01 -1.860000000000000000e+02, -2.131316453363112373e+01 -1.870000000000000000e+02, -2.138364114486806500e+01 -1.880000000000000000e+02, -2.146620932932123438e+01 -1.890000000000000000e+02, -2.153954636339236117e+01 -1.900000000000000000e+02, -2.160243381496866988e+01 -1.910000000000000000e+02, -2.166803956038333823e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE120 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE120 deleted file mode 100644 index 5724ff4e..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE120 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.309739133233956743e+00 -2.000000000000000000e+00, 2.545079726618606042e+00 -3.000000000000000000e+00, 1.842905622895532058e+00 -4.000000000000000000e+00, 1.136294966767285475e+00 -5.000000000000000000e+00, 9.793172190592301929e-01 -6.000000000000000000e+00, 7.443810861762668596e-01 -7.000000000000000000e+00, 3.476067543010538108e-01 -8.000000000000000000e+00, 1.962514841986154890e-01 -9.000000000000000000e+00, 4.814536038172401167e-02 -1.000000000000000000e+01, -1.368007940429416258e-01 -1.100000000000000000e+01, -4.751418425002717494e-01 -1.200000000000000000e+01, -6.958697266500388778e-01 -1.300000000000000000e+01, -7.627026446295988027e-01 -1.400000000000000000e+01, -9.516457574177862311e-01 -1.500000000000000000e+01, -1.211636436545239226e+00 -1.600000000000000000e+01, -1.375732851606673579e+00 -1.700000000000000000e+01, -1.523559833488416615e+00 -1.800000000000000000e+01, -1.688257770504693500e+00 -1.900000000000000000e+01, -1.911298462310958568e+00 -2.000000000000000000e+01, -2.006788733080757225e+00 -2.100000000000000000e+01, -2.237704466433389605e+00 -2.200000000000000000e+01, -2.321085439438765441e+00 -2.300000000000000000e+01, -2.524929178817943765e+00 -2.400000000000000000e+01, -2.688159971986053609e+00 -2.500000000000000000e+01, -2.839765351603088739e+00 -2.600000000000000000e+01, -2.996552763874051006e+00 -2.700000000000000000e+01, -3.146446618232601189e+00 -2.800000000000000000e+01, -3.284575346022668096e+00 -2.900000000000000000e+01, -3.424065833257229130e+00 -3.000000000000000000e+01, -3.551247718774403150e+00 -3.100000000000000000e+01, -3.728247886946097989e+00 -3.200000000000000000e+01, -3.867216433979140611e+00 -3.300000000000000000e+01, -4.011627875708625446e+00 -3.400000000000000000e+01, -4.141556207523596989e+00 -3.500000000000000000e+01, -4.272544451149198785e+00 -3.600000000000000000e+01, -4.401072855962165242e+00 -3.700000000000000000e+01, -4.540807343274467556e+00 -3.800000000000000000e+01, -4.669256642169255400e+00 -3.900000000000000000e+01, -4.833036820035154335e+00 -4.000000000000000000e+01, -4.922718743900030169e+00 -4.100000000000000000e+01, -5.068726508045478418e+00 -4.200000000000000000e+01, -5.169144227975178474e+00 -4.300000000000000000e+01, -5.340511794767627052e+00 -4.400000000000000000e+01, -5.436718195327514103e+00 -4.500000000000000000e+01, -5.578143651817674353e+00 -4.600000000000000000e+01, -5.701864976934679419e+00 -4.700000000000000000e+01, -5.821695527460267527e+00 -4.800000000000000000e+01, -5.960601627606430419e+00 -4.900000000000000000e+01, -6.048478784112337969e+00 -5.000000000000000000e+01, -6.187215915950501355e+00 -5.100000000000000000e+01, -6.314141721517072980e+00 -5.200000000000000000e+01, -6.428866284994576574e+00 -5.300000000000000000e+01, -6.540922924208985023e+00 -5.400000000000000000e+01, -6.677248328033577707e+00 -5.500000000000000000e+01, -6.791130551881093602e+00 -5.600000000000000000e+01, -6.908703567252002742e+00 -5.700000000000000000e+01, -7.001138315872367457e+00 -5.800000000000000000e+01, -7.133527249233701184e+00 -5.900000000000000000e+01, -7.244562641599217478e+00 -6.000000000000000000e+01, -7.368915995045405509e+00 -6.100000000000000000e+01, -7.481471729526213643e+00 -6.200000000000000000e+01, -7.586787136902395368e+00 -6.300000000000000000e+01, -7.705779387885492326e+00 -6.400000000000000000e+01, -7.813212282322381519e+00 -6.500000000000000000e+01, -7.929053126129097073e+00 -6.600000000000000000e+01, -8.058691120357066140e+00 -6.700000000000000000e+01, -8.154540030339903822e+00 -6.800000000000000000e+01, -8.273817907843877606e+00 -6.900000000000000000e+01, -8.378188714818447735e+00 -7.000000000000000000e+01, -8.478019411595878907e+00 -7.100000000000000000e+01, -8.618568684042413608e+00 -7.200000000000000000e+01, -8.694794404737596238e+00 -7.300000000000000000e+01, -8.833718801844950619e+00 -7.400000000000000000e+01, -8.924260336774553437e+00 -7.500000000000000000e+01, -9.033380246608711417e+00 -7.600000000000000000e+01, -9.162097391861154350e+00 -7.700000000000000000e+01, -9.250787167261613320e+00 -7.800000000000000000e+01, -9.373869430137034442e+00 -7.900000000000000000e+01, -9.461433770752408989e+00 -8.000000000000000000e+01, -9.591613390075986345e+00 -8.100000000000000000e+01, -9.687376263166640911e+00 -8.200000000000000000e+01, -9.798782380324819741e+00 -8.300000000000000000e+01, -9.908568075130848030e+00 -8.400000000000000000e+01, -1.000260025668551300e+01 -8.500000000000000000e+01, -1.013360374938687336e+01 -8.600000000000000000e+01, -1.021534912872377809e+01 -8.700000000000000000e+01, -1.033866592996305300e+01 -8.800000000000000000e+01, -1.043268581134794459e+01 -8.900000000000000000e+01, -1.054192636540630446e+01 -9.000000000000000000e+01, -1.064842978627066650e+01 -9.100000000000000000e+01, -1.075204872661322142e+01 -9.200000000000000000e+01, -1.085706743092096538e+01 -9.300000000000000000e+01, -1.097076777602037900e+01 -9.400000000000000000e+01, -1.106865460706086779e+01 -9.500000000000000000e+01, -1.117411223094465100e+01 -9.600000000000000000e+01, -1.128073837402715007e+01 -9.700000000000000000e+01, -1.137951373493112150e+01 -9.800000000000000000e+01, -1.147694022868864749e+01 -9.900000000000000000e+01, -1.159462723327477640e+01 -1.000000000000000000e+02, -1.169703554744207885e+01 -1.010000000000000000e+02, -1.179901780940561729e+01 -1.020000000000000000e+02, -1.190358591572214841e+01 -1.030000000000000000e+02, -1.200150533483851234e+01 -1.040000000000000000e+02, -1.210505169485841748e+01 -1.050000000000000000e+02, -1.221648524094753974e+01 -1.060000000000000000e+02, -1.230811982680107874e+01 -1.070000000000000000e+02, -1.241299533108680286e+01 -1.080000000000000000e+02, -1.251368230906458123e+01 -1.090000000000000000e+02, -1.262479132745571953e+01 -1.100000000000000000e+02, -1.271285514535807692e+01 -1.110000000000000000e+02, -1.282528966835320183e+01 -1.120000000000000000e+02, -1.292929805210684613e+01 -1.130000000000000000e+02, -1.302487297786369780e+01 -1.140000000000000000e+02, -1.312609029537446759e+01 -1.150000000000000000e+02, -1.322729475382127617e+01 -1.160000000000000000e+02, -1.333299402966025404e+01 -1.170000000000000000e+02, -1.343627190755423761e+01 -1.180000000000000000e+02, -1.351365727992884658e+01 -1.190000000000000000e+02, -1.363957156532893222e+01 -1.200000000000000000e+02, -1.372667809511915848e+01 -1.210000000000000000e+02, -1.383745987238538788e+01 -1.220000000000000000e+02, -1.393221017329947031e+01 -1.230000000000000000e+02, -1.402652577396679767e+01 -1.240000000000000000e+02, -1.412728790928145628e+01 -1.250000000000000000e+02, -1.422323673675755806e+01 -1.260000000000000000e+02, -1.433440053293003480e+01 -1.270000000000000000e+02, -1.442380835947420792e+01 -1.280000000000000000e+02, -1.452226128067844790e+01 -1.290000000000000000e+02, -1.462390606255024750e+01 -1.300000000000000000e+02, -1.472184280178653282e+01 -1.310000000000000000e+02, -1.481515645310604867e+01 -1.320000000000000000e+02, -1.491663757214501018e+01 -1.330000000000000000e+02, -1.501472231215045383e+01 -1.340000000000000000e+02, -1.511772852035479531e+01 -1.350000000000000000e+02, -1.520320688314550495e+01 -1.360000000000000000e+02, -1.529985386091096267e+01 -1.370000000000000000e+02, -1.540263869125637619e+01 -1.380000000000000000e+02, -1.550380781155626586e+01 -1.390000000000000000e+02, -1.559416818847899577e+01 -1.400000000000000000e+02, -1.569293417436301574e+01 -1.410000000000000000e+02, -1.578150551172605098e+01 -1.420000000000000000e+02, -1.588330673759658396e+01 -1.430000000000000000e+02, -1.597807945808589736e+01 -1.440000000000000000e+02, -1.606956650415389376e+01 -1.450000000000000000e+02, -1.616682280318623199e+01 -1.460000000000000000e+02, -1.625732212589677061e+01 -1.470000000000000000e+02, -1.635712277599415643e+01 -1.480000000000000000e+02, -1.644301911472718203e+01 -1.490000000000000000e+02, -1.654405985627841247e+01 -1.500000000000000000e+02, -1.663816517701389586e+01 -1.510000000000000000e+02, -1.673625383491171092e+01 -1.520000000000000000e+02, -1.681408336627936251e+01 -1.530000000000000000e+02, -1.691176024339118200e+01 -1.540000000000000000e+02, -1.701442435556299060e+01 -1.550000000000000000e+02, -1.709261668616814234e+01 -1.560000000000000000e+02, -1.719313285198203189e+01 -1.570000000000000000e+02, -1.728022064124109392e+01 -1.580000000000000000e+02, -1.737385597797943859e+01 -1.590000000000000000e+02, -1.746342759321556315e+01 -1.600000000000000000e+02, -1.755691494222323001e+01 -1.610000000000000000e+02, -1.763913200806280202e+01 -1.620000000000000000e+02, -1.774075982242770522e+01 -1.630000000000000000e+02, -1.782143542578207374e+01 -1.640000000000000000e+02, -1.791044129200140489e+01 -1.650000000000000000e+02, -1.800035879730302213e+01 -1.660000000000000000e+02, -1.809286549605022287e+01 -1.670000000000000000e+02, -1.817496231520131289e+01 -1.680000000000000000e+02, -1.826921280591480468e+01 -1.690000000000000000e+02, -1.834761037375119130e+01 -1.700000000000000000e+02, -1.844033194076750704e+01 -1.710000000000000000e+02, -1.852445768828019723e+01 -1.720000000000000000e+02, -1.860878461894565206e+01 -1.730000000000000000e+02, -1.870655463080713332e+01 -1.740000000000000000e+02, -1.877759178668438267e+01 -1.750000000000000000e+02, -1.886470004279782486e+01 -1.760000000000000000e+02, -1.894704509143659621e+01 -1.770000000000000000e+02, -1.903609023609310924e+01 -1.780000000000000000e+02, -1.911746271849225565e+01 -1.790000000000000000e+02, -1.919408740950332515e+01 -1.800000000000000000e+02, -1.928035554936364449e+01 -1.810000000000000000e+02, -1.935481545557501448e+01 -1.820000000000000000e+02, -1.943698036310284039e+01 -1.830000000000000000e+02, -1.951707856262065732e+01 -1.840000000000000000e+02, -1.958879083945750565e+01 -1.850000000000000000e+02, -1.966786040842329442e+01 -1.860000000000000000e+02, -1.973984412732308158e+01 -1.870000000000000000e+02, -1.980594321333176921e+01 -1.880000000000000000e+02, -1.988433054221118113e+01 -1.890000000000000000e+02, -1.995364705354472790e+01 -1.900000000000000000e+02, -2.001271827580075424e+01 -1.910000000000000000e+02, -2.007464565101242826e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE130 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE130 deleted file mode 100644 index 5d17f741..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE130 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.371888891086878726e+00 -2.000000000000000000e+00, 2.638070020875559418e+00 -3.000000000000000000e+00, 1.910517159420568989e+00 -4.000000000000000000e+00, 1.191458310216942929e+00 -5.000000000000000000e+00, 1.025422842562059067e+00 -6.000000000000000000e+00, 7.984803937391645734e-01 -7.000000000000000000e+00, 4.113407730471819179e-01 -8.000000000000000000e+00, 2.733185353905480119e-01 -9.000000000000000000e+00, 1.414111486122309191e-01 -1.000000000000000000e+01, -2.923554008305349894e-02 -1.100000000000000000e+01, -3.509886703070939640e-01 -1.200000000000000000e+01, -5.574836384244817866e-01 -1.300000000000000000e+01, -6.088695818679239480e-01 -1.400000000000000000e+01, -7.825227123437703547e-01 -1.500000000000000000e+01, -1.028169243367028862e+00 -1.600000000000000000e+01, -1.177541916316910964e+00 -1.700000000000000000e+01, -1.310238284528102426e+00 -1.800000000000000000e+01, -1.462591876116759559e+00 -1.900000000000000000e+01, -1.672396187190321015e+00 -2.000000000000000000e+01, -1.755033690540386715e+00 -2.100000000000000000e+01, -1.972832499308577292e+00 -2.200000000000000000e+01, -2.044919921047649414e+00 -2.300000000000000000e+01, -2.236289740832160700e+00 -2.400000000000000000e+01, -2.388649418109389355e+00 -2.500000000000000000e+01, -2.528880966681632536e+00 -2.600000000000000000e+01, -2.674700950145617817e+00 -2.700000000000000000e+01, -2.814415438659957136e+00 -2.800000000000000000e+01, -2.941862442277368039e+00 -2.900000000000000000e+01, -3.071186434901231443e+00 -3.000000000000000000e+01, -3.188063335263581433e+00 -3.100000000000000000e+01, -3.355521955986826566e+00 -3.200000000000000000e+01, -3.484519676050349624e+00 -3.300000000000000000e+01, -3.619006220900292448e+00 -3.400000000000000000e+01, -3.738830945973456554e+00 -3.500000000000000000e+01, -3.860943875843946049e+00 -3.600000000000000000e+01, -3.980309067160011871e+00 -3.700000000000000000e+01, -4.110584789821823293e+00 -3.800000000000000000e+01, -4.229870835964111286e+00 -3.900000000000000000e+01, -4.384698252284754183e+00 -4.000000000000000000e+01, -4.465249507369585480e+00 -4.100000000000000000e+01, -4.602409755048735285e+00 -4.200000000000000000e+01, -4.694150534099589045e+00 -4.300000000000000000e+01, -4.856667043785626525e+00 -4.400000000000000000e+01, -4.944496063743367031e+00 -4.500000000000000000e+01, -5.077290476005560826e+00 -4.600000000000000000e+01, -5.192499973141388558e+00 -4.700000000000000000e+01, -5.304063708987846404e+00 -4.800000000000000000e+01, -5.434447988893725601e+00 -4.900000000000000000e+01, -5.513991798268048861e+00 -5.000000000000000000e+01, -5.644297575433734337e+00 -5.100000000000000000e+01, -5.762808796428909197e+00 -5.200000000000000000e+01, -5.869171109433178657e+00 -5.300000000000000000e+01, -5.973416360700428029e+00 -5.400000000000000000e+01, -6.101140962637123799e+00 -5.500000000000000000e+01, -6.206971028074990571e+00 -5.600000000000000000e+01, -6.316777338266934549e+00 -5.700000000000000000e+01, -6.400637295402790805e+00 -5.800000000000000000e+01, -6.524863320181322202e+00 -5.900000000000000000e+01, -6.627769075998648063e+00 -6.000000000000000000e+01, -6.743918901102609276e+00 -6.100000000000000000e+01, -6.848511193960362675e+00 -6.200000000000000000e+01, -6.945721757077323311e+00 -6.300000000000000000e+01, -7.056705218910315658e+00 -6.400000000000000000e+01, -7.156270928607984416e+00 -6.500000000000000000e+01, -7.263612604785745219e+00 -6.600000000000000000e+01, -7.385437292711254820e+00 -6.700000000000000000e+01, -7.473392373787948628e+00 -6.800000000000000000e+01, -7.584336229851770916e+00 -6.900000000000000000e+01, -7.680845320614675842e+00 -7.000000000000000000e+01, -7.772594821999967429e+00 -7.100000000000000000e+01, -7.905047153064452381e+00 -7.200000000000000000e+01, -7.973287755673715616e+00 -7.300000000000000000e+01, -8.104304935167450097e+00 -7.400000000000000000e+01, -8.186797439475260063e+00 -7.500000000000000000e+01, -8.287923522523064079e+00 -7.600000000000000000e+01, -8.408567546807731219e+00 -7.700000000000000000e+01, -8.489321285542517970e+00 -7.800000000000000000e+01, -8.604420659716042863e+00 -7.900000000000000000e+01, -8.683596435638703426e+00 -8.000000000000000000e+01, -8.806113323548460770e+00 -8.100000000000000000e+01, -8.893672550790672204e+00 -8.200000000000000000e+01, -8.997182827917495018e+00 -8.300000000000000000e+01, -9.099029799039739075e+00 -8.400000000000000000e+01, -9.185073864767616669e+00 -8.500000000000000000e+01, -9.308055199576088512e+00 -8.600000000000000000e+01, -9.381807333549263106e+00 -8.700000000000000000e+01, -9.497077418851578301e+00 -8.800000000000000000e+01, -9.583255688468659272e+00 -8.900000000000000000e+01, -9.684445389595515152e+00 -9.000000000000000000e+01, -9.782917922988426440e+00 -9.100000000000000000e+01, -9.878538402745435931e+00 -9.200000000000000000e+01, -9.975613923492497648e+00 -9.300000000000000000e+01, -1.008140219119624348e+01 -9.400000000000000000e+01, -1.017131830170867701e+01 -9.500000000000000000e+01, -1.026887067428032552e+01 -9.600000000000000000e+01, -1.036747843625533427e+01 -9.700000000000000000e+01, -1.045815644927957777e+01 -9.800000000000000000e+01, -1.054777186091325092e+01 -9.900000000000000000e+01, -1.065757425512325796e+01 -1.000000000000000000e+02, -1.075193588307117309e+01 -1.010000000000000000e+02, -1.084611447726022426e+01 -1.020000000000000000e+02, -1.094250277380486303e+01 -1.030000000000000000e+02, -1.103281327470878459e+01 -1.040000000000000000e+02, -1.112836838885288770e+01 -1.050000000000000000e+02, -1.123210145236678414e+01 -1.060000000000000000e+02, -1.131572256596416004e+01 -1.070000000000000000e+02, -1.141259660715556556e+01 -1.080000000000000000e+02, -1.150543308154639632e+01 -1.090000000000000000e+02, -1.160870519189818495e+01 -1.100000000000000000e+02, -1.168885364066448318e+01 -1.110000000000000000e+02, -1.179347454603023237e+01 -1.120000000000000000e+02, -1.188969594868701662e+01 -1.130000000000000000e+02, -1.197750613398349095e+01 -1.140000000000000000e+02, -1.207084527751777792e+01 -1.150000000000000000e+02, -1.216426110190202436e+01 -1.160000000000000000e+02, -1.226235470053105736e+01 -1.170000000000000000e+02, -1.235788124218971973e+01 -1.180000000000000000e+02, -1.242752957978080275e+01 -1.190000000000000000e+02, -1.254571366558181467e+01 -1.200000000000000000e+02, -1.262522617953372794e+01 -1.210000000000000000e+02, -1.272829462057740812e+01 -1.220000000000000000e+02, -1.281535272108001244e+01 -1.230000000000000000e+02, -1.290215570158520109e+01 -1.240000000000000000e+02, -1.299530050566018247e+01 -1.250000000000000000e+02, -1.308357024144457625e+01 -1.260000000000000000e+02, -1.318718408702706490e+01 -1.270000000000000000e+02, -1.326915860707306294e+01 -1.280000000000000000e+02, -1.336003692994537495e+01 -1.290000000000000000e+02, -1.345425893022275510e+01 -1.300000000000000000e+02, -1.354479917524974830e+01 -1.310000000000000000e+02, -1.363057761150403735e+01 -1.320000000000000000e+02, -1.372471640351449551e+01 -1.330000000000000000e+02, -1.381529418965406997e+01 -1.340000000000000000e+02, -1.391096261123554179e+01 -1.350000000000000000e+02, -1.398917613323697040e+01 -1.360000000000000000e+02, -1.407856801485568887e+01 -1.370000000000000000e+02, -1.417408724603190251e+01 -1.380000000000000000e+02, -1.426804713018804627e+01 -1.390000000000000000e+02, -1.435131046375617636e+01 -1.400000000000000000e+02, -1.444280086483992065e+01 -1.410000000000000000e+02, -1.452426178099798904e+01 -1.420000000000000000e+02, -1.461910288331863228e+01 -1.430000000000000000e+02, -1.470684063585485823e+01 -1.440000000000000000e+02, -1.479128979201199279e+01 -1.450000000000000000e+02, -1.488158656821774706e+01 -1.460000000000000000e+02, -1.496510850688335736e+01 -1.470000000000000000e+02, -1.505805354752904890e+01 -1.480000000000000000e+02, -1.513704820634771941e+01 -1.490000000000000000e+02, -1.523127262201051302e+01 -1.500000000000000000e+02, -1.531858022777547212e+01 -1.510000000000000000e+02, -1.541007525771695796e+01 -1.520000000000000000e+02, -1.548123576053811057e+01 -1.530000000000000000e+02, -1.557223577446568186e+01 -1.540000000000000000e+02, -1.566834637452872947e+01 -1.550000000000000000e+02, -1.574008651530920666e+01 -1.560000000000000000e+02, -1.583404963572478152e+01 -1.570000000000000000e+02, -1.591470642485190368e+01 -1.580000000000000000e+02, -1.600199859063586061e+01 -1.590000000000000000e+02, -1.608520154569282212e+01 -1.600000000000000000e+02, -1.617238564205279872e+01 -1.610000000000000000e+02, -1.624840639077030957e+01 -1.620000000000000000e+02, -1.634388296737293444e+01 -1.630000000000000000e+02, -1.641831140849138748e+01 -1.640000000000000000e+02, -1.650131335817202682e+01 -1.650000000000000000e+02, -1.658514187471200430e+01 -1.660000000000000000e+02, -1.667163669982891605e+01 -1.670000000000000000e+02, -1.674777566008354057e+01 -1.680000000000000000e+02, -1.683610683140098985e+01 -1.690000000000000000e+02, -1.690867865816370497e+01 -1.700000000000000000e+02, -1.699549504226045826e+01 -1.710000000000000000e+02, -1.707389164188823472e+01 -1.720000000000000000e+02, -1.715256216299064107e+01 -1.730000000000000000e+02, -1.724459975018547908e+01 -1.740000000000000000e+02, -1.731002348987291839e+01 -1.750000000000000000e+02, -1.739139511644107472e+01 -1.760000000000000000e+02, -1.746806735987845371e+01 -1.770000000000000000e+02, -1.755164120147328433e+01 -1.780000000000000000e+02, -1.762746751816046142e+01 -1.790000000000000000e+02, -1.769870182606109665e+01 -1.800000000000000000e+02, -1.777928807546457080e+01 -1.810000000000000000e+02, -1.784845190310039342e+01 -1.820000000000000000e+02, -1.792519116552858449e+01 -1.830000000000000000e+02, -1.799991937107479956e+01 -1.840000000000000000e+02, -1.806629619537040199e+01 -1.850000000000000000e+02, -1.814002599746908473e+01 -1.860000000000000000e+02, -1.820688330168345104e+01 -1.870000000000000000e+02, -1.826790812540791009e+01 -1.880000000000000000e+02, -1.834135221422420869e+01 -1.890000000000000000e+02, -1.840572955080919115e+01 -1.900000000000000000e+02, -1.846009442724053784e+01 -1.910000000000000000e+02, -1.851755621139275121e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE140 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE140 deleted file mode 100644 index 5c06fb7d..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE140 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.501643016982752155e+00 -2.000000000000000000e+00, 2.694115377216108609e+00 -3.000000000000000000e+00, 1.981179500190942910e+00 -4.000000000000000000e+00, 1.236185430282280118e+00 -5.000000000000000000e+00, 1.057260314107187460e+00 -6.000000000000000000e+00, 8.307425356031898911e-01 -7.000000000000000000e+00, 4.509712515756620355e-01 -8.000000000000000000e+00, 3.150999742046015628e-01 -9.000000000000000000e+00, 1.971886062983936594e-01 -1.000000000000000000e+01, 4.211508573333010846e-02 -1.100000000000000000e+01, -2.681406575584430185e-01 -1.200000000000000000e+01, -4.599066223148893795e-01 -1.300000000000000000e+01, -5.003343115999393520e-01 -1.400000000000000000e+01, -6.602486354371213118e-01 -1.500000000000000000e+01, -8.929529311648836121e-01 -1.600000000000000000e+01, -1.030742361055197343e+00 -1.700000000000000000e+01, -1.152346030202018312e+00 -1.800000000000000000e+01, -1.292574514461888091e+00 -1.900000000000000000e+01, -1.490533908159938026e+00 -2.000000000000000000e+01, -1.563676689895609817e+00 -2.100000000000000000e+01, -1.771928397203625050e+00 -2.200000000000000000e+01, -1.833473656935214358e+00 -2.300000000000000000e+01, -2.015296841055588484e+00 -2.400000000000000000e+01, -2.158083979098037730e+00 -2.500000000000000000e+01, -2.289289829464754789e+00 -2.600000000000000000e+01, -2.426322436460746967e+00 -2.700000000000000000e+01, -2.556463216104257086e+00 -2.800000000000000000e+01, -2.675740670061092175e+00 -2.900000000000000000e+01, -2.796475314835226822e+00 -3.000000000000000000e+01, -2.905073783505307983e+00 -3.100000000000000000e+01, -3.064100685977453331e+00 -3.200000000000000000e+01, -3.185198604791595223e+00 -3.300000000000000000e+01, -3.311482263228747946e+00 -3.400000000000000000e+01, -3.424322549876809951e+00 -3.500000000000000000e+01, -3.538564345106089082e+00 -3.600000000000000000e+01, -3.650198414276383030e+00 -3.700000000000000000e+01, -3.773264172766952917e+00 -3.800000000000000000e+01, -3.885332743681519485e+00 -3.900000000000000000e+01, -4.032961172658484195e+00 -4.000000000000000000e+01, -4.106596531631850233e+00 -4.100000000000000000e+01, -4.236480132600788373e+00 -4.200000000000000000e+01, -4.320669288822986509e+00 -4.300000000000000000e+01, -4.476535345847644010e+00 -4.400000000000000000e+01, -4.557472937232103227e+00 -4.500000000000000000e+01, -4.683023751210285468e+00 -4.600000000000000000e+01, -4.791574158356733726e+00 -4.700000000000000000e+01, -4.896319977512050947e+00 -4.800000000000000000e+01, -5.020066200170459680e+00 -4.900000000000000000e+01, -5.092990169938427236e+00 -5.000000000000000000e+01, -5.216681543729499992e+00 -5.100000000000000000e+01, -5.328609746986247231e+00 -5.200000000000000000e+01, -5.428414204930467335e+00 -5.300000000000000000e+01, -5.526067064790144201e+00 -5.400000000000000000e+01, -5.647539826541755126e+00 -5.500000000000000000e+01, -5.746900572081965031e+00 -5.600000000000000000e+01, -5.850145464457568778e+00 -5.700000000000000000e+01, -5.927700313979726410e+00 -5.800000000000000000e+01, -6.045617705014627141e+00 -5.900000000000000000e+01, -6.142197021479087304e+00 -6.000000000000000000e+01, -6.251923859467490630e+00 -6.100000000000000000e+01, -6.350160069620221392e+00 -6.200000000000000000e+01, -6.441004551324081007e+00 -6.300000000000000000e+01, -6.545800892003045490e+00 -6.400000000000000000e+01, -6.638855517893578195e+00 -6.500000000000000000e+01, -6.740036331111642909e+00 -6.600000000000000000e+01, -6.855556315789556265e+00 -6.700000000000000000e+01, -6.937227525324805910e+00 -6.800000000000000000e+01, -7.042060371699151666e+00 -6.900000000000000000e+01, -7.132317640066844433e+00 -7.000000000000000000e+01, -7.217740807093844246e+00 -7.100000000000000000e+01, -7.344267039936370089e+00 -7.200000000000000000e+01, -7.406339318152235229e+00 -7.300000000000000000e+01, -7.530922484528863592e+00 -7.400000000000000000e+01, -7.607179562748320301e+00 -7.500000000000000000e+01, -7.702387920150134626e+00 -7.600000000000000000e+01, -7.816493152175291392e+00 -7.700000000000000000e+01, -7.891249939507236633e+00 -7.800000000000000000e+01, -8.000057642450599360e+00 -7.900000000000000000e+01, -8.073376922767437236e+00 -8.000000000000000000e+01, -8.189346920064670243e+00 -8.100000000000000000e+01, -8.270911617035178409e+00 -8.200000000000000000e+01, -8.368169325249994017e+00 -8.300000000000000000e+01, -8.463909484472903699e+00 -8.400000000000000000e+01, -8.543578525555927783e+00 -8.500000000000000000e+01, -8.660596383377148655e+00 -8.600000000000000000e+01, -8.728305224271140972e+00 -8.700000000000000000e+01, -8.837429372707777731e+00 -8.800000000000000000e+01, -8.917251160694625867e+00 -8.900000000000000000e+01, -9.012329220765623816e+00 -9.000000000000000000e+01, -9.104633487337075337e+00 -9.100000000000000000e+01, -9.194103645122133628e+00 -9.200000000000000000e+01, -9.285075281900539323e+00 -9.300000000000000000e+01, -9.384783032996269370e+00 -9.400000000000000000e+01, -9.468575046850213894e+00 -9.500000000000000000e+01, -9.559859526605199775e+00 -9.600000000000000000e+01, -9.652469641208682560e+00 -9.700000000000000000e+01, -9.736983167570590680e+00 -9.800000000000000000e+01, -9.820350603794782529e+00 -9.900000000000000000e+01, -9.923944167653482751e+00 -1.000000000000000000e+02, -1.001231630952453422e+01 -1.010000000000000000e+02, -1.010036166696129634e+01 -1.020000000000000000e+02, -1.019076141818634440e+01 -1.030000000000000000e+02, -1.027481161523854780e+01 -1.040000000000000000e+02, -1.036418528236583469e+01 -1.050000000000000000e+02, -1.046189608619193656e+01 -1.060000000000000000e+02, -1.053947502974546246e+01 -1.070000000000000000e+02, -1.063022386916974149e+01 -1.080000000000000000e+02, -1.071693585985919839e+01 -1.090000000000000000e+02, -1.081409330747522723e+01 -1.100000000000000000e+02, -1.088837889621476052e+01 -1.110000000000000000e+02, -1.098686421644122646e+01 -1.120000000000000000e+02, -1.107691274969061546e+01 -1.130000000000000000e+02, -1.115873434788649377e+01 -1.140000000000000000e+02, -1.124598704253576642e+01 -1.150000000000000000e+02, -1.133341286503463685e+01 -1.160000000000000000e+02, -1.142540216662410657e+01 -1.170000000000000000e+02, -1.151502901872651563e+01 -1.180000000000000000e+02, -1.157862227964614910e+01 -1.190000000000000000e+02, -1.169084389031217874e+01 -1.200000000000000000e+02, -1.176429778634872392e+01 -1.210000000000000000e+02, -1.186141778619238352e+01 -1.220000000000000000e+02, -1.194254887477668881e+01 -1.230000000000000000e+02, -1.202333354305226898e+01 -1.240000000000000000e+02, -1.211054588606223525e+01 -1.250000000000000000e+02, -1.219285498955578717e+01 -1.260000000000000000e+02, -1.229040787074005792e+01 -1.270000000000000000e+02, -1.236656297111010794e+01 -1.280000000000000000e+02, -1.245150950403382772e+01 -1.290000000000000000e+02, -1.253991844381727461e+01 -1.300000000000000000e+02, -1.262457463848914330e+01 -1.310000000000000000e+02, -1.270467775479318995e+01 -1.320000000000000000e+02, -1.279282245559475406e+01 -1.330000000000000000e+02, -1.287762972140467177e+01 -1.340000000000000000e+02, -1.296762394423142162e+01 -1.350000000000000000e+02, -1.303999259828735191e+01 -1.360000000000000000e+02, -1.312364668219663066e+01 -1.370000000000000000e+02, -1.321335861384674004e+01 -1.380000000000000000e+02, -1.330169429452582008e+01 -1.390000000000000000e+02, -1.337929549629032699e+01 -1.400000000000000000e+02, -1.346516363614279221e+01 -1.410000000000000000e+02, -1.354103270827236472e+01 -1.420000000000000000e+02, -1.363013298684405328e+01 -1.430000000000000000e+02, -1.371231652900173437e+01 -1.440000000000000000e+02, -1.379131145476133824e+01 -1.450000000000000000e+02, -1.387591346550387428e+01 -1.460000000000000000e+02, -1.395400184380799935e+01 -1.470000000000000000e+02, -1.404137526982436057e+01 -1.480000000000000000e+02, -1.411502365963205108e+01 -1.490000000000000000e+02, -1.420370926063879224e+01 -1.500000000000000000e+02, -1.428563481829731607e+01 -1.510000000000000000e+02, -1.437177008747542395e+01 -1.520000000000000000e+02, -1.443754458957549680e+01 -1.530000000000000000e+02, -1.452320928058758653e+01 -1.540000000000000000e+02, -1.461403050001773352e+01 -1.550000000000000000e+02, -1.468046999461158642e+01 -1.560000000000000000e+02, -1.476925838280492620e+01 -1.570000000000000000e+02, -1.484472826880570295e+01 -1.580000000000000000e+02, -1.492681213197734991e+01 -1.590000000000000000e+02, -1.500492248116450078e+01 -1.600000000000000000e+02, -1.508698041955499036e+01 -1.610000000000000000e+02, -1.515788798053768716e+01 -1.620000000000000000e+02, -1.524823036270026755e+01 -1.630000000000000000e+02, -1.531769318011102676e+01 -1.640000000000000000e+02, -1.539560852598214424e+01 -1.650000000000000000e+02, -1.547452414862299008e+01 -1.660000000000000000e+02, -1.555603535691547989e+01 -1.670000000000000000e+02, -1.562724590774601729e+01 -1.680000000000000000e+02, -1.571063526720459436e+01 -1.690000000000000000e+02, -1.577838148703827770e+01 -1.700000000000000000e+02, -1.586034920246780722e+01 -1.710000000000000000e+02, -1.593383539691301820e+01 -1.720000000000000000e+02, -1.600765384788163459e+01 -1.730000000000000000e+02, -1.609491325133727102e+01 -1.740000000000000000e+02, -1.615556440960137508e+01 -1.750000000000000000e+02, -1.623220924298452417e+01 -1.760000000000000000e+02, -1.630403704789171826e+01 -1.770000000000000000e+02, -1.638283186224374788e+01 -1.780000000000000000e+02, -1.645390292325244985e+01 -1.790000000000000000e+02, -1.652030760790846386e+01 -1.800000000000000000e+02, -1.659630256925228409e+01 -1.810000000000000000e+02, -1.666066612807567893e+01 -1.820000000000000000e+02, -1.673267145173502968e+01 -1.830000000000000000e+02, -1.680276071436987806e+01 -1.840000000000000000e+02, -1.686438480163788256e+01 -1.850000000000000000e+02, -1.693351297579535597e+01 -1.860000000000000000e+02, -1.699572597698797338e+01 -1.870000000000000000e+02, -1.705219560151360270e+01 -1.880000000000000000e+02, -1.712110541300042499e+01 -1.890000000000000000e+02, -1.718110497947977322e+01 -1.900000000000000000e+02, -1.723123351466235320e+01 -1.910000000000000000e+02, -1.728457544474219176e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE151 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE151 deleted file mode 100644 index da457a36..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE151 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.543720931426209475e+00 -2.000000000000000000e+00, 2.765964946606550345e+00 -3.000000000000000000e+00, 2.051973456180577138e+00 -4.000000000000000000e+00, 1.281262401934049944e+00 -5.000000000000000000e+00, 1.105448174849116949e+00 -6.000000000000000000e+00, 8.758146169303133721e-01 -7.000000000000000000e+00, 4.977397298396785130e-01 -8.000000000000000000e+00, 3.665121898752103924e-01 -9.000000000000000000e+00, 2.585040135964233321e-01 -1.000000000000000000e+01, 1.115535085494663153e-01 -1.100000000000000000e+01, -1.854179096623146117e-01 -1.200000000000000000e+01, -3.687702639745171762e-01 -1.300000000000000000e+01, -3.979390826198941356e-01 -1.400000000000000000e+01, -5.456168685469540147e-01 -1.500000000000000000e+01, -7.672910210513622653e-01 -1.600000000000000000e+01, -8.939063626666007290e-01 -1.700000000000000000e+01, -1.005026500468472861e+00 -1.800000000000000000e+01, -1.134071529958375457e+00 -1.900000000000000000e+01, -1.322357931067442927e+00 -2.000000000000000000e+01, -1.385003213162475211e+00 -2.100000000000000000e+01, -1.583933259633170554e+00 -2.200000000000000000e+01, -1.635803912675797278e+00 -2.300000000000000000e+01, -1.808088659166371848e+00 -2.400000000000000000e+01, -1.941520905332485780e+00 -2.500000000000000000e+01, -2.063347822610138493e+00 -2.600000000000000000e+01, -2.191840373896312588e+00 -2.700000000000000000e+01, -2.313997398288688778e+00 -2.800000000000000000e+01, -2.424903056097171827e+00 -2.900000000000000000e+01, -2.537343538084524397e+00 -3.000000000000000000e+01, -2.638183500035333751e+00 -3.100000000000000000e+01, -2.789156693962393518e+00 -3.200000000000000000e+01, -2.902806429492960749e+00 -3.300000000000000000e+01, -3.021537667000564031e+00 -3.400000000000000000e+01, -3.126685807721672372e+00 -3.500000000000000000e+01, -3.233799630798061653e+00 -3.600000000000000000e+01, -3.338493156067194878e+00 -3.700000000000000000e+01, -3.453918825986956875e+00 -3.800000000000000000e+01, -3.559101864556714734e+00 -3.900000000000000000e+01, -3.699856969881808233e+00 -4.000000000000000000e+01, -3.766960641243342511e+00 -4.100000000000000000e+01, -3.890104510757688150e+00 -4.200000000000000000e+01, -3.967769021041315014e+00 -4.300000000000000000e+01, -4.116711073688284372e+00 -4.400000000000000000e+01, -4.191191412771094527e+00 -4.500000000000000000e+01, -4.310611383684448406e+00 -4.600000000000000000e+01, -4.412583253388329574e+00 -4.700000000000000000e+01, -4.511077679455211431e+00 -4.800000000000000000e+01, -4.628799135123450093e+00 -4.900000000000000000e+01, -4.695381471915426097e+00 -5.000000000000000000e+01, -4.813020981633466810e+00 -5.100000000000000000e+01, -4.918865768147730577e+00 -5.200000000000000000e+01, -5.012759290533788104e+00 -5.300000000000000000e+01, -5.104361361773189998e+00 -5.400000000000000000e+01, -5.219755545937462493e+00 -5.500000000000000000e+01, -5.313224703178747177e+00 -5.600000000000000000e+01, -5.410785352590061770e+00 -5.700000000000000000e+01, -5.482586414760204363e+00 -5.800000000000000000e+01, -5.594554519711493867e+00 -5.900000000000000000e+01, -5.685260987900585761e+00 -6.000000000000000000e+01, -5.789287844845022235e+00 -6.100000000000000000e+01, -5.881706714135186864e+00 -6.200000000000000000e+01, -5.967103633763970905e+00 -6.300000000000000000e+01, -6.065995203165039484e+00 -6.400000000000000000e+01, -6.153306765635276676e+00 -6.500000000000000000e+01, -6.248872477589519470e+00 -6.600000000000000000e+01, -6.358914991333083577e+00 -6.700000000000000000e+01, -6.434943915295813888e+00 -6.800000000000000000e+01, -6.534238626668793515e+00 -6.900000000000000000e+01, -6.618983101033026450e+00 -7.000000000000000000e+01, -6.698765680682928547e+00 -7.100000000000000000e+01, -6.819543400628528929e+00 -7.200000000000000000e+01, -6.876092875041617702e+00 -7.300000000000000000e+01, -6.995196888380032618e+00 -7.400000000000000000e+01, -7.065989001979418482e+00 -7.500000000000000000e+01, -7.155449820767658231e+00 -7.600000000000000000e+01, -7.264267188354404325e+00 -7.700000000000000000e+01, -7.333512820771867169e+00 -7.800000000000000000e+01, -7.436965112129167110e+00 -7.900000000000000000e+01, -7.504499455764167770e+00 -8.000000000000000000e+01, -7.615277933432366808e+00 -8.100000000000000000e+01, -7.691110534108931418e+00 -8.200000000000000000e+01, -7.782999002711183500e+00 -8.300000000000000000e+01, -7.873320768205445574e+00 -8.400000000000000000e+01, -7.947693511855852044e+00 -8.500000000000000000e+01, -8.059196354884196722e+00 -8.600000000000000000e+01, -8.121398195669051745e+00 -8.700000000000000000e+01, -8.225111520344215776e+00 -8.800000000000000000e+01, -8.299490937504870658e+00 -8.900000000000000000e+01, -8.389194009335628976e+00 -9.000000000000000000e+01, -8.476049611901924408e+00 -9.100000000000000000e+01, -8.560064426431654994e+00 -9.200000000000000000e+01, -8.645580117308904633e+00 -9.300000000000000000e+01, -8.739852876978401852e+00 -9.400000000000000000e+01, -8.818196807653617242e+00 -9.500000000000000000e+01, -8.904146474231216857e+00 -9.600000000000000000e+01, -8.991390906510071446e+00 -9.700000000000000000e+01, -9.070574533979321785e+00 -9.800000000000000000e+01, -9.148387611620130144e+00 -9.900000000000000000e+01, -9.246741144586097860e+00 -1.000000000000000000e+02, -9.329632972129989099e+00 -1.010000000000000000e+02, -9.412261281324576956e+00 -1.020000000000000000e+02, -9.497303708902640196e+00 -1.030000000000000000e+02, -9.576016372778008545e+00 -1.040000000000000000e+02, -9.660079178627574592e+00 -1.050000000000000000e+02, -9.752286182569173789e+00 -1.060000000000000000e+02, -9.824622195836886007e+00 -1.070000000000000000e+02, -9.910012710592082996e+00 -1.080000000000000000e+02, -9.991382401239086164e+00 -1.090000000000000000e+02, -1.008325282592127436e+01 -1.100000000000000000e+02, -1.015217262119195496e+01 -1.110000000000000000e+02, -1.024517432428566366e+01 -1.120000000000000000e+02, -1.033007180382933576e+01 -1.130000000000000000e+02, -1.040658993857252668e+01 -1.140000000000000000e+02, -1.048855303822296747e+01 -1.150000000000000000e+02, -1.057056589644208344e+01 -1.160000000000000000e+02, -1.065728000461270497e+01 -1.170000000000000000e+02, -1.074166111144702640e+01 -1.180000000000000000e+02, -1.079992799956846206e+01 -1.190000000000000000e+02, -1.090686535682921665e+01 -1.200000000000000000e+02, -1.097512051642904751e+01 -1.210000000000000000e+02, -1.106695243073016677e+01 -1.220000000000000000e+02, -1.114294695385120626e+01 -1.230000000000000000e+02, -1.121841907983858988e+01 -1.240000000000000000e+02, -1.130049208676158834e+01 -1.250000000000000000e+02, -1.137751895805471669e+01 -1.260000000000000000e+02, -1.147001172765271271e+01 -1.270000000000000000e+02, -1.154093166941079218e+01 -1.280000000000000000e+02, -1.162080502615153321e+01 -1.290000000000000000e+02, -1.170390308736915586e+01 -1.300000000000000000e+02, -1.178341452034011283e+01 -1.310000000000000000e+02, -1.185829718641303998e+01 -1.320000000000000000e+02, -1.194135232798507751e+01 -1.330000000000000000e+02, -1.202111983397443318e+01 -1.340000000000000000e+02, -1.210590178109157122e+01 -1.350000000000000000e+02, -1.217332245586556283e+01 -1.360000000000000000e+02, -1.225175674703142725e+01 -1.370000000000000000e+02, -1.233639369754875226e+01 -1.380000000000000000e+02, -1.241966439349154960e+01 -1.390000000000000000e+02, -1.249229350714630371e+01 -1.400000000000000000e+02, -1.257306202762425329e+01 -1.410000000000000000e+02, -1.264395138418718467e+01 -1.420000000000000000e+02, -1.272805365021924651e+01 -1.430000000000000000e+02, -1.280527206388244110e+01 -1.440000000000000000e+02, -1.287922745005520397e+01 -1.450000000000000000e+02, -1.295904633181379317e+01 -1.460000000000000000e+02, -1.303213261260800060e+01 -1.470000000000000000e+02, -1.311461202165090612e+01 -1.480000000000000000e+02, -1.318324419670089931e+01 -1.490000000000000000e+02, -1.326712561298655402e+01 -1.500000000000000000e+02, -1.334423063846595703e+01 -1.510000000000000000e+02, -1.342551212915460113e+01 -1.520000000000000000e+02, -1.348646529242239644e+01 -1.530000000000000000e+02, -1.356739343905069184e+01 -1.540000000000000000e+02, -1.365341068908711364e+01 -1.550000000000000000e+02, -1.371514376731113138e+01 -1.560000000000000000e+02, -1.379904485762422617e+01 -1.570000000000000000e+02, -1.386978740436266477e+01 -1.580000000000000000e+02, -1.394723938296868582e+01 -1.590000000000000000e+02, -1.402048838547929499e+01 -1.600000000000000000e+02, -1.409797772995175080e+01 -1.610000000000000000e+02, -1.416422897963430927e+01 -1.620000000000000000e+02, -1.424992416743152823e+01 -1.630000000000000000e+02, -1.431475309594633671e+01 -1.640000000000000000e+02, -1.438802219447345010e+01 -1.650000000000000000e+02, -1.446225917023659058e+01 -1.660000000000000000e+02, -1.453921221918542628e+01 -1.670000000000000000e+02, -1.460583731554708287e+01 -1.680000000000000000e+02, -1.468470905479490618e+01 -1.690000000000000000e+02, -1.474780249424949297e+01 -1.700000000000000000e+02, -1.482510920740057259e+01 -1.710000000000000000e+02, -1.489409608468112367e+01 -1.720000000000000000e+02, -1.496343175689751881e+01 -1.730000000000000000e+02, -1.504603168012748426e+01 -1.740000000000000000e+02, -1.510231121064215998e+01 -1.750000000000000000e+02, -1.517418949173559106e+01 -1.760000000000000000e+02, -1.524149885979155883e+01 -1.770000000000000000e+02, -1.531586482573347574e+01 -1.780000000000000000e+02, -1.538232209334246825e+01 -1.790000000000000000e+02, -1.544426668056987673e+01 -1.800000000000000000e+02, -1.551561392548570062e+01 -1.810000000000000000e+02, -1.557543189334952061e+01 -1.820000000000000000e+02, -1.564296052368758438e+01 -1.830000000000000000e+02, -1.570839650150905698e+01 -1.840000000000000000e+02, -1.576555523008362769e+01 -1.850000000000000000e+02, -1.583021518236944836e+01 -1.860000000000000000e+02, -1.588786049737584882e+01 -1.870000000000000000e+02, -1.593991122305407337e+01 -1.880000000000000000e+02, -1.600444989926618078e+01 -1.890000000000000000e+02, -1.606018882543036597e+01 -1.900000000000000000e+02, -1.610606996207116737e+01 -1.910000000000000000e+02, -1.615546486180197405e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE163 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE163 deleted file mode 100644 index 8130363b..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE163 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.698418973986083547e+00 -2.000000000000000000e+00, 2.857577865953113250e+00 -3.000000000000000000e+00, 2.108593169388801147e+00 -4.000000000000000000e+00, 1.333914386500242077e+00 -5.000000000000000000e+00, 1.144516674352087815e+00 -6.000000000000000000e+00, 9.046801178708243629e-01 -7.000000000000000000e+00, 5.303208231453956367e-01 -8.000000000000000000e+00, 4.093270405602368323e-01 -9.000000000000000000e+00, 3.074187371238356614e-01 -1.000000000000000000e+01, 1.686652169997500672e-01 -1.100000000000000000e+01, -1.198304425350844166e-01 -1.200000000000000000e+01, -2.943778956188065621e-01 -1.300000000000000000e+01, -3.124585553894757561e-01 -1.400000000000000000e+01, -4.497520675064308748e-01 -1.500000000000000000e+01, -6.622793299706215553e-01 -1.600000000000000000e+01, -7.805347130455591032e-01 -1.700000000000000000e+01, -8.810817533641289723e-01 -1.800000000000000000e+01, -1.000268627054067050e+00 -1.900000000000000000e+01, -1.180380992505753790e+00 -2.000000000000000000e+01, -1.233395306390829393e+00 -2.100000000000000000e+01, -1.422733667445083672e+00 -2.200000000000000000e+01, -1.465577654734937063e+00 -2.300000000000000000e+01, -1.629427638494649999e+00 -2.400000000000000000e+01, -1.754705930651902168e+00 -2.500000000000000000e+01, -1.868663048350402089e+00 -2.600000000000000000e+01, -1.988569852214766787e+00 -2.700000000000000000e+01, -2.103617412620503835e+00 -2.800000000000000000e+01, -2.206671211611423988e+00 -2.900000000000000000e+01, -2.312034844094379427e+00 -3.000000000000000000e+01, -2.404798974430433223e+00 -3.100000000000000000e+01, -2.549008926646758155e+00 -3.200000000000000000e+01, -2.655681002851359551e+00 -3.300000000000000000e+01, -2.767906193109918700e+00 -3.400000000000000000e+01, -2.866671920779912508e+00 -3.500000000000000000e+01, -2.967359889420806418e+00 -3.600000000000000000e+01, -3.065202964174366773e+00 -3.700000000000000000e+01, -3.174433344069699459e+00 -3.800000000000000000e+01, -3.273225711046479081e+00 -3.900000000000000000e+01, -3.407853011821966760e+00 -4.000000000000000000e+01, -3.468900822210618351e+00 -4.100000000000000000e+01, -3.586020392028718362e+00 -4.200000000000000000e+01, -3.657719785894165465e+00 -4.300000000000000000e+01, -3.800655806243627310e+00 -4.400000000000000000e+01, -3.869533513580526218e+00 -4.500000000000000000e+01, -3.983154992633812341e+00 -4.600000000000000000e+01, -4.079531653289431681e+00 -4.700000000000000000e+01, -4.172417176330512234e+00 -4.800000000000000000e+01, -4.284518409522023674e+00 -4.900000000000000000e+01, -4.345752171097881700e+00 -5.000000000000000000e+01, -4.457927479904449264e+00 -5.100000000000000000e+01, -4.558205966136350540e+00 -5.200000000000000000e+01, -4.646895076297506755e+00 -5.300000000000000000e+01, -4.732885084435933365e+00 -5.400000000000000000e+01, -4.843442781837617339e+00 -5.500000000000000000e+01, -4.931663675683363834e+00 -5.600000000000000000e+01, -5.024094188625393365e+00 -5.700000000000000000e+01, -5.090853394747376193e+00 -5.800000000000000000e+01, -5.197560491101630653e+00 -5.900000000000000000e+01, -5.283203289400685065e+00 -6.000000000000000000e+01, -5.382115857038489715e+00 -6.100000000000000000e+01, -5.469819585234512616e+00 -6.200000000000000000e+01, -5.550168428962584777e+00 -6.300000000000000000e+01, -5.643981930257748303e+00 -6.400000000000000000e+01, -5.726273151110037318e+00 -6.500000000000000000e+01, -5.816978374516136086e+00 -6.600000000000000000e+01, -5.922227118371300669e+00 -6.700000000000000000e+01, -5.993386234440356120e+00 -6.800000000000000000e+01, -6.087871821181826348e+00 -6.900000000000000000e+01, -6.167479413718117698e+00 -7.000000000000000000e+01, -6.242595418115034711e+00 -7.100000000000000000e+01, -6.358621894715302147e+00 -7.200000000000000000e+01, -6.410322188037549829e+00 -7.300000000000000000e+01, -6.524753355717541226e+00 -7.400000000000000000e+01, -6.590813134877751445e+00 -7.500000000000000000e+01, -6.675511042659829641e+00 -7.600000000000000000e+01, -6.779409834685455216e+00 -7.700000000000000000e+01, -6.843930056718193988e+00 -7.800000000000000000e+01, -6.942627565521322985e+00 -7.900000000000000000e+01, -7.005618724667358244e+00 -8.000000000000000000e+01, -7.111536980746404168e+00 -8.100000000000000000e+01, -7.182908315940699673e+00 -8.200000000000000000e+01, -7.269856587590482810e+00 -8.300000000000000000e+01, -7.355523855014680201e+00 -8.400000000000000000e+01, -7.425053278481525076e+00 -8.500000000000000000e+01, -7.531849242854010917e+00 -8.600000000000000000e+01, -7.589489143905301383e+00 -8.700000000000000000e+01, -7.688350010478227858e+00 -8.800000000000000000e+01, -7.758196970174394913e+00 -8.900000000000000000e+01, -7.843098542615071445e+00 -9.000000000000000000e+01, -7.925322366899087534e+00 -9.100000000000000000e+01, -8.004739646674899234e+00 -9.200000000000000000e+01, -8.085586074595017436e+00 -9.300000000000000000e+01, -8.175098108950507481e+00 -9.400000000000000000e+01, -8.248846198831195409e+00 -9.500000000000000000e+01, -8.330223268534375336e+00 -9.600000000000000000e+01, -8.412644438689760307e+00 -9.700000000000000000e+01, -8.487242155287873402e+00 -9.800000000000000000e+01, -8.560451200312472864e+00 -9.900000000000000000e+01, -8.654039272328370558e+00 -1.000000000000000000e+02, -8.732335580046497014e+00 -1.010000000000000000e+02, -8.810353544079740473e+00 -1.020000000000000000e+02, -8.890699116889575038e+00 -1.030000000000000000e+02, -8.964891339839219597e+00 -1.040000000000000000e+02, -9.044206961368679742e+00 -1.050000000000000000e+02, -9.131863133148781841e+00 -1.060000000000000000e+02, -9.199563178453356471e+00 -1.070000000000000000e+02, -9.280282515067666438e+00 -1.080000000000000000e+02, -9.357042320618946363e+00 -1.090000000000000000e+02, -9.444237978858362581e+00 -1.100000000000000000e+02, -9.508446092717823817e+00 -1.110000000000000000e+02, -9.596981182687770229e+00 -1.120000000000000000e+02, -9.677151260493921825e+00 -1.130000000000000000e+02, -9.749220500885352081e+00 -1.140000000000000000e+02, -9.826451151579927767e+00 -1.150000000000000000e+02, -9.903876258999575910e+00 -1.160000000000000000e+02, -9.985970848164917868e+00 -1.170000000000000000e+02, -1.006576799105581799e+01 -1.180000000000000000e+02, -1.011937971008643800e+01 -1.190000000000000000e+02, -1.022162919950867987e+01 -1.200000000000000000e+02, -1.028532453905846111e+01 -1.210000000000000000e+02, -1.037267703133358765e+01 -1.220000000000000000e+02, -1.044405620490091735e+01 -1.230000000000000000e+02, -1.051492844280659611e+01 -1.240000000000000000e+02, -1.059246742033627520e+01 -1.250000000000000000e+02, -1.066491621578200899e+01 -1.260000000000000000e+02, -1.075282285773456614e+01 -1.270000000000000000e+02, -1.081930296685407278e+01 -1.280000000000000000e+02, -1.089447848863887280e+01 -1.290000000000000000e+02, -1.097307555530059986e+01 -1.300000000000000000e+02, -1.104797398108267004e+01 -1.310000000000000000e+02, -1.111836114932870245e+01 -1.320000000000000000e+02, -1.119693961110109015e+01 -1.330000000000000000e+02, -1.127210314842852945e+01 -1.340000000000000000e+02, -1.135246896899251823e+01 -1.350000000000000000e+02, -1.141536176584886597e+01 -1.360000000000000000e+02, -1.148939641140298384e+01 -1.370000000000000000e+02, -1.156951423607136320e+01 -1.380000000000000000e+02, -1.164828763180244309e+01 -1.390000000000000000e+02, -1.171642262835799464e+01 -1.400000000000000000e+02, -1.179278989486659057e+01 -1.410000000000000000e+02, -1.185922231761816015e+01 -1.420000000000000000e+02, -1.193890255568557990e+01 -1.430000000000000000e+02, -1.201168822029832839e+01 -1.440000000000000000e+02, -1.208126957182918559e+01 -1.450000000000000000e+02, -1.215652512118628792e+01 -1.460000000000000000e+02, -1.222532735025187378e+01 -1.470000000000000000e+02, -1.230338296434136325e+01 -1.480000000000000000e+02, -1.236769862594994329e+01 -1.490000000000000000e+02, -1.244719595941987933e+01 -1.500000000000000000e+02, -1.252000030278898102e+01 -1.510000000000000000e+02, -1.259699949773196259e+01 -1.520000000000000000e+02, -1.265353345801005780e+01 -1.530000000000000000e+02, -1.273008689525547688e+01 -1.540000000000000000e+02, -1.281183565294695370e+01 -1.550000000000000000e+02, -1.286928464030780184e+01 -1.560000000000000000e+02, -1.294895836571935810e+01 -1.570000000000000000e+02, -1.301533172566034757e+01 -1.580000000000000000e+02, -1.308856563649481508e+01 -1.590000000000000000e+02, -1.315751526286524253e+01 -1.600000000000000000e+02, -1.323081137764907211e+01 -1.610000000000000000e+02, -1.329279759778589387e+01 -1.620000000000000000e+02, -1.337427605540675479e+01 -1.630000000000000000e+02, -1.343495909345362627e+01 -1.640000000000000000e+02, -1.350399442907902881e+01 -1.650000000000000000e+02, -1.357401986194166810e+01 -1.660000000000000000e+02, -1.364676521677728260e+01 -1.670000000000000000e+02, -1.370912109892931952e+01 -1.680000000000000000e+02, -1.378379051363433305e+01 -1.690000000000000000e+02, -1.384274090155623504e+01 -1.700000000000000000e+02, -1.391587662780213108e+01 -1.710000000000000000e+02, -1.398061120352767794e+01 -1.720000000000000000e+02, -1.404567722902732463e+01 -1.730000000000000000e+02, -1.412417597129104863e+01 -1.740000000000000000e+02, -1.417625709997414063e+01 -1.750000000000000000e+02, -1.424386040269508769e+01 -1.760000000000000000e+02, -1.430694823797838033e+01 -1.770000000000000000e+02, -1.437707191710872578e+01 -1.780000000000000000e+02, -1.443928438509154155e+01 -1.790000000000000000e+02, -1.449697851719554365e+01 -1.800000000000000000e+02, -1.456390252402961671e+01 -1.810000000000000000e+02, -1.461944347649315290e+01 -1.820000000000000000e+02, -1.468273149151814216e+01 -1.830000000000000000e+02, -1.474396777527774205e+01 -1.840000000000000000e+02, -1.479683725574106568e+01 -1.850000000000000000e+02, -1.485711301232803550e+01 -1.860000000000000000e+02, -1.491053699074299210e+01 -1.870000000000000000e+02, -1.495838908936517875e+01 -1.880000000000000000e+02, -1.501874710595105356e+01 -1.890000000000000000e+02, -1.507056411996862444e+01 -1.900000000000000000e+02, -1.511263695481431313e+01 -1.910000000000000000e+02, -1.515818844258021514e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE176 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE176 deleted file mode 100644 index b8511900..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE176 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.750455351017709660e+00 -2.000000000000000000e+00, 2.935691344300481287e+00 -3.000000000000000000e+00, 2.211739760697930990e+00 -4.000000000000000000e+00, 1.391770600568767779e+00 -5.000000000000000000e+00, 1.194789319630037205e+00 -6.000000000000000000e+00, 9.469870007656490118e-01 -7.000000000000000000e+00, 5.705506285527095489e-01 -8.000000000000000000e+00, 4.545869778846858278e-01 -9.000000000000000000e+00, 3.551091534853579867e-01 -1.000000000000000000e+01, 2.246870947277155306e-01 -1.100000000000000000e+01, -5.729899044276862141e-02 -1.200000000000000000e+01, -2.222411251835370305e-01 -1.300000000000000000e+01, -2.307178016319934299e-01 -1.400000000000000000e+01, -3.584712670890535247e-01 -1.500000000000000000e+01, -5.622902707882044826e-01 -1.600000000000000000e+01, -6.697451868953746557e-01 -1.700000000000000000e+01, -7.628947133767662869e-01 -1.800000000000000000e+01, -8.723760178194646109e-01 -1.900000000000000000e+01, -1.043660136922241799e+00 -2.000000000000000000e+01, -1.088509871036938748e+00 -2.100000000000000000e+01, -1.269690384419007279e+00 -2.200000000000000000e+01, -1.304244798088862511e+00 -2.300000000000000000e+01, -1.460010252543644915e+00 -2.400000000000000000e+01, -1.576748313947984759e+00 -2.500000000000000000e+01, -1.683419672998909711e+00 -2.600000000000000000e+01, -1.796360013427969582e+00 -2.700000000000000000e+01, -1.903862945864612577e+00 -2.800000000000000000e+01, -1.999739445140193084e+00 -2.900000000000000000e+01, -2.097765938728210600e+00 -3.000000000000000000e+01, -2.183608331680158443e+00 -3.100000000000000000e+01, -2.320772704643515372e+00 -3.200000000000000000e+01, -2.420966339962601577e+00 -3.300000000000000000e+01, -2.526910579006258040e+00 -3.400000000000000000e+01, -2.618646284401538793e+00 -3.500000000000000000e+01, -2.713262004433476093e+00 -3.600000000000000000e+01, -2.804892644240913668e+00 -3.700000000000000000e+01, -2.908201587561726864e+00 -3.800000000000000000e+01, -3.001070596566788318e+00 -3.900000000000000000e+01, -3.129633179559773382e+00 -4.000000000000000000e+01, -3.184829192626119632e+00 -4.100000000000000000e+01, -3.296441428054440514e+00 -4.200000000000000000e+01, -3.362430394145738966e+00 -4.300000000000000000e+01, -3.499913220804435454e+00 -4.400000000000000000e+01, -3.562915132975995380e+00 -4.500000000000000000e+01, -3.671435329618506493e+00 -4.600000000000000000e+01, -3.762574482261076714e+00 -4.700000000000000000e+01, -3.850121066614538901e+00 -4.800000000000000000e+01, -3.957081449971197706e+00 -4.900000000000000000e+01, -4.013187025597799718e+00 -5.000000000000000000e+01, -4.120006990408656478e+00 -5.100000000000000000e+01, -4.215552746538934414e+00 -5.200000000000000000e+01, -4.299100458296765126e+00 -5.300000000000000000e+01, -4.380283374674068142e+00 -5.400000000000000000e+01, -4.485932753763218095e+00 -5.500000000000000000e+01, -4.569284518906804315e+00 -5.600000000000000000e+01, -4.656817864040141863e+00 -5.700000000000000000e+01, -4.718717555052743151e+00 -5.800000000000000000e+01, -4.820762134743827865e+00 -5.900000000000000000e+01, -4.901674843002264303e+00 -6.000000000000000000e+01, -4.995964896415743262e+00 -6.100000000000000000e+01, -5.078810787322300513e+00 -6.200000000000000000e+01, -5.154395625437784290e+00 -6.300000000000000000e+01, -5.243812601725854172e+00 -6.400000000000000000e+01, -5.321533526291856830e+00 -6.500000000000000000e+01, -5.407469078001494012e+00 -6.600000000000000000e+01, -5.508323719833957632e+00 -6.700000000000000000e+01, -5.574925083771357315e+00 -6.800000000000000000e+01, -5.664915103545670405e+00 -6.900000000000000000e+01, -5.740042033450809988e+00 -7.000000000000000000e+01, -5.810824403644953229e+00 -7.100000000000000000e+01, -5.922320835975634523e+00 -7.200000000000000000e+01, -5.969664707270889714e+00 -7.300000000000000000e+01, -6.079609418274737109e+00 -7.400000000000000000e+01, -6.141301089939231517e+00 -7.500000000000000000e+01, -6.221518014261041785e+00 -7.600000000000000000e+01, -6.321158610512645382e+00 -7.700000000000000000e+01, -6.381384814125418359e+00 -7.800000000000000000e+01, -6.475552892550078710e+00 -7.900000000000000000e+01, -6.534340277473551950e+00 -8.000000000000000000e+01, -6.635854179343251502e+00 -8.100000000000000000e+01, -6.702910838920201009e+00 -8.200000000000000000e+01, -6.785567900257508889e+00 -8.300000000000000000e+01, -6.866961842611715383e+00 -8.400000000000000000e+01, -6.932253308183164542e+00 -8.500000000000000000e+01, -7.034716741619753577e+00 -8.600000000000000000e+01, -7.087910827956062754e+00 -8.700000000000000000e+01, -7.182790827169388770e+00 -8.800000000000000000e+01, -7.248158654688093172e+00 -8.900000000000000000e+01, -7.329002174088118160e+00 -9.000000000000000000e+01, -7.406748259183385308e+00 -9.100000000000000000e+01, -7.481996251316788360e+00 -9.200000000000000000e+01, -7.558458169366566892e+00 -9.300000000000000000e+01, -7.643785677330657613e+00 -9.400000000000000000e+01, -7.713264244103329226e+00 -9.500000000000000000e+01, -7.790402019408563916e+00 -9.600000000000000000e+01, -7.868675278422239572e+00 -9.700000000000000000e+01, -7.938967532628240953e+00 -9.800000000000000000e+01, -8.007994246914631020e+00 -9.900000000000000000e+01, -8.097309312243597290e+00 -1.000000000000000000e+02, -8.171263090469013335e+00 -1.010000000000000000e+02, -8.245089011429143966e+00 -1.020000000000000000e+02, -8.321258409308887494e+00 -1.030000000000000000e+02, -8.391222353790606547e+00 -1.040000000000000000e+02, -8.466206918362980005e+00 -1.050000000000000000e+02, -8.549638241782888670e+00 -1.060000000000000000e+02, -8.613047703446605752e+00 -1.070000000000000000e+02, -8.689603766711988087e+00 -1.080000000000000000e+02, -8.762186153621554396e+00 -1.090000000000000000e+02, -8.845095383456575533e+00 -1.100000000000000000e+02, -8.905082307885626491e+00 -1.110000000000000000e+02, -8.989328218229095668e+00 -1.120000000000000000e+02, -9.065311474490824750e+00 -1.130000000000000000e+02, -9.133023215182511478e+00 -1.140000000000000000e+02, -9.206134917763005632e+00 -1.150000000000000000e+02, -9.279312315614118845e+00 -1.160000000000000000e+02, -9.357284061049366386e+00 -1.170000000000000000e+02, -9.432917590847953448e+00 -1.180000000000000000e+02, -9.482248315297322705e+00 -1.190000000000000000e+02, -9.580237672629026591e+00 -1.200000000000000000e+02, -9.639801834542053527e+00 -1.210000000000000000e+02, -9.722811900611388225e+00 -1.220000000000000000e+02, -9.790011838030595825e+00 -1.230000000000000000e+02, -9.856742016160161768e+00 -1.240000000000000000e+02, -9.929965095013969290e+00 -1.250000000000000000e+02, -9.998157048071330877e+00 -1.260000000000000000e+02, -1.008186551521847463e+01 -1.270000000000000000e+02, -1.014420779572127884e+01 -1.280000000000000000e+02, -1.021514892582058742e+01 -1.290000000000000000e+02, -1.028962224062355446e+01 -1.300000000000000000e+02, -1.036036212639279874e+01 -1.310000000000000000e+02, -1.042652326191073087e+01 -1.320000000000000000e+02, -1.050080417850133507e+01 -1.330000000000000000e+02, -1.057194138702961617e+01 -1.340000000000000000e+02, -1.064822315586528667e+01 -1.350000000000000000e+02, -1.070679799674852894e+01 -1.360000000000000000e+02, -1.077662228905005470e+01 -1.370000000000000000e+02, -1.085263917081562113e+01 -1.380000000000000000e+02, -1.092720547205386872e+01 -1.390000000000000000e+02, -1.099123238716419237e+01 -1.400000000000000000e+02, -1.106347669718212856e+01 -1.410000000000000000e+02, -1.112581641410359090e+01 -1.420000000000000000e+02, -1.120124978006779060e+01 -1.430000000000000000e+02, -1.126999638091168343e+01 -1.440000000000000000e+02, -1.133538466096882757e+01 -1.450000000000000000e+02, -1.140658493726729361e+01 -1.460000000000000000e+02, -1.147122373901404835e+01 -1.470000000000000000e+02, -1.154519665883650958e+01 -1.480000000000000000e+02, -1.160545946356156932e+01 -1.490000000000000000e+02, -1.168090118039295255e+01 -1.500000000000000000e+02, -1.174956939718001259e+01 -1.510000000000000000e+02, -1.182247959669217430e+01 -1.520000000000000000e+02, -1.187493081040143572e+01 -1.530000000000000000e+02, -1.194739483749346221e+01 -1.540000000000000000e+02, -1.202510493278223969e+01 -1.550000000000000000e+02, -1.207851127744558895e+01 -1.560000000000000000e+02, -1.215405996052954762e+01 -1.570000000000000000e+02, -1.221639367751743954e+01 -1.580000000000000000e+02, -1.228559964944410510e+01 -1.590000000000000000e+02, -1.235054474123873369e+01 -1.600000000000000000e+02, -1.241973915469407963e+01 -1.610000000000000000e+02, -1.247767198825632207e+01 -1.620000000000000000e+02, -1.255516477093408767e+01 -1.630000000000000000e+02, -1.261171810198302090e+01 -1.640000000000000000e+02, -1.267671078159285258e+01 -1.650000000000000000e+02, -1.274272587790334832e+01 -1.660000000000000000e+02, -1.281134863726862072e+01 -1.670000000000000000e+02, -1.286972220572575054e+01 -1.680000000000000000e+02, -1.294030904805977400e+01 -1.690000000000000000e+02, -1.299512874642601190e+01 -1.700000000000000000e+02, -1.306419346138067894e+01 -1.710000000000000000e+02, -1.312477297739721926e+01 -1.720000000000000000e+02, -1.318588145789581390e+01 -1.730000000000000000e+02, -1.326009838342982583e+01 -1.740000000000000000e+02, -1.330811066396011100e+01 -1.750000000000000000e+02, -1.337153473351565580e+01 -1.760000000000000000e+02, -1.343041205795165105e+01 -1.770000000000000000e+02, -1.349646959713178163e+01 -1.780000000000000000e+02, -1.355441474292280013e+01 -1.790000000000000000e+02, -1.360804076524966355e+01 -1.800000000000000000e+02, -1.367062987944431640e+01 -1.810000000000000000e+02, -1.372204426670087507e+01 -1.820000000000000000e+02, -1.378114262046923422e+01 -1.830000000000000000e+02, -1.383814362484631388e+01 -1.840000000000000000e+02, -1.388679830037900942e+01 -1.850000000000000000e+02, -1.394279261198076014e+01 -1.860000000000000000e+02, -1.399214441179817570e+01 -1.870000000000000000e+02, -1.403588740883099995e+01 -1.880000000000000000e+02, -1.409215070793281122e+01 -1.890000000000000000e+02, -1.413996901136254003e+01 -1.900000000000000000e+02, -1.417819051206194736e+01 -1.910000000000000000e+02, -1.422008386775846844e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE190 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE190 deleted file mode 100644 index 692db45b..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE190 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.873711770693519352e+00 -2.000000000000000000e+00, 2.986540380055179078e+00 -3.000000000000000000e+00, 2.271323553818892726e+00 -4.000000000000000000e+00, 1.450610619436063731e+00 -5.000000000000000000e+00, 1.246312883441442754e+00 -6.000000000000000000e+00, 9.924064597142905342e-01 -7.000000000000000000e+00, 6.106453536835908524e-01 -8.000000000000000000e+00, 4.930803322033074920e-01 -9.000000000000000000e+00, 3.952601709360554216e-01 -1.000000000000000000e+01, 2.689291118545499293e-01 -1.100000000000000000e+01, -6.034564297091290011e-03 -1.200000000000000000e+01, -1.637502325756793609e-01 -1.300000000000000000e+01, -1.660822410871632404e-01 -1.400000000000000000e+01, -2.855480428030770512e-01 -1.500000000000000000e+01, -4.793836432559385186e-01 -1.600000000000000000e+01, -5.809120539275867134e-01 -1.700000000000000000e+01, -6.653024266984828294e-01 -1.800000000000000000e+01, -7.675732350466264453e-01 -1.900000000000000000e+01, -9.293501194857134440e-01 -2.000000000000000000e+01, -9.666433979468378457e-01 -2.100000000000000000e+01, -1.139823818175756509e+00 -2.200000000000000000e+01, -1.166910207443643266e+00 -2.300000000000000000e+01, -1.315367166914502839e+00 -2.400000000000000000e+01, -1.425169074814752967e+00 -2.500000000000000000e+01, -1.524934426529502840e+00 -2.600000000000000000e+01, -1.630638896882428135e+00 -2.700000000000000000e+01, -1.731064245668230139e+00 -2.800000000000000000e+01, -1.820634273126030100e+00 -2.900000000000000000e+01, -1.912579736069097258e+00 -3.000000000000000000e+01, -1.991936904781002715e+00 -3.100000000000000000e+01, -2.122902830280062325e+00 -3.200000000000000000e+01, -2.217392695288665561e+00 -3.300000000000000000e+01, -2.317378274321514553e+00 -3.400000000000000000e+01, -2.403709481392355407e+00 -3.500000000000000000e+01, -2.492264809779754398e+00 -3.600000000000000000e+01, -2.578721489916434795e+00 -3.700000000000000000e+01, -2.676048420252616022e+00 -3.800000000000000000e+01, -2.763630109173028870e+00 -3.900000000000000000e+01, -2.887487157993802622e+00 -4.000000000000000000e+01, -2.937292865583381651e+00 -4.100000000000000000e+01, -3.043892586369926434e+00 -4.200000000000000000e+01, -3.104775304574119321e+00 -4.300000000000000000e+01, -3.237393751409562981e+00 -4.400000000000000000e+01, -3.295584919739745100e+00 -4.500000000000000000e+01, -3.399027033303944734e+00 -4.600000000000000000e+01, -3.485382809344978128e+00 -4.700000000000000000e+01, -3.568440489643831981e+00 -4.800000000000000000e+01, -3.670925690405109965e+00 -4.900000000000000000e+01, -3.722510909000715795e+00 -5.000000000000000000e+01, -3.824720084957529576e+00 -5.100000000000000000e+01, -3.915851551723004143e+00 -5.200000000000000000e+01, -3.995130529957013454e+00 -5.300000000000000000e+01, -4.071805421869604480e+00 -5.400000000000000000e+01, -4.172939102042938053e+00 -5.500000000000000000e+01, -4.252321631005536950e+00 -5.600000000000000000e+01, -4.335691634902069325e+00 -5.700000000000000000e+01, -4.393239136339780693e+00 -5.800000000000000000e+01, -4.491266500138003437e+00 -5.900000000000000000e+01, -4.568021644468826636e+00 -6.000000000000000000e+01, -4.658102576451776500e+00 -6.100000000000000000e+01, -4.736926610288207051e+00 -6.200000000000000000e+01, -4.808494893022979610e+00 -6.300000000000000000e+01, -4.893873767708328160e+00 -6.400000000000000000e+01, -4.967610028907948561e+00 -6.500000000000000000e+01, -5.049466833907140462e+00 -6.600000000000000000e+01, -5.146354068361909562e+00 -6.700000000000000000e+01, -5.209282515068680119e+00 -6.800000000000000000e+01, -5.295318667863335271e+00 -6.900000000000000000e+01, -5.366641316770929926e+00 -7.000000000000000000e+01, -5.433367734586776798e+00 -7.100000000000000000e+01, -5.541201093230195163e+00 -7.200000000000000000e+01, -5.584555091908351088e+00 -7.300000000000000000e+01, -5.690594255518907296e+00 -7.400000000000000000e+01, -5.748443461781852726e+00 -7.500000000000000000e+01, -5.824921282832490554e+00 -7.600000000000000000e+01, -5.920851413610052738e+00 -7.700000000000000000e+01, -5.977216505534117097e+00 -7.800000000000000000e+01, -6.067758460885079863e+00 -7.900000000000000000e+01, -6.122629382667193809e+00 -8.000000000000000000e+01, -6.220270184822115134e+00 -8.100000000000000000e+01, -6.283785922956671044e+00 -8.200000000000000000e+01, -6.362689289373808066e+00 -8.300000000000000000e+01, -6.440282440187584889e+00 -8.400000000000000000e+01, -6.501870713789034362e+00 -8.500000000000000000e+01, -6.600687220058227389e+00 -8.600000000000000000e+01, -6.650233778793134043e+00 -8.700000000000000000e+01, -6.741237735756812732e+00 -8.800000000000000000e+01, -6.803093407668491466e+00 -8.900000000000000000e+01, -6.880143868593168399e+00 -9.000000000000000000e+01, -6.954309055895105729e+00 -9.100000000000000000e+01, -7.025699495592850674e+00 -9.200000000000000000e+01, -7.098561250185285942e+00 -9.300000000000000000e+01, -7.180195018777077109e+00 -9.400000000000000000e+01, -7.246060684800506024e+00 -9.500000000000000000e+01, -7.319371426423390226e+00 -9.600000000000000000e+01, -7.393994538734605548e+00 -9.700000000000000000e+01, -7.460745571600281068e+00 -9.800000000000000000e+01, -7.525935137133431319e+00 -9.900000000000000000e+01, -7.611582650971054242e+00 -1.000000000000000000e+02, -7.681987228378774901e+00 -1.010000000000000000e+02, -7.752205470287641731e+00 -1.020000000000000000e+02, -7.824702684380960171e+00 -1.030000000000000000e+02, -7.890903434388246040e+00 -1.040000000000000000e+02, -7.962393275654052083e+00 -1.050000000000000000e+02, -8.042160015397024964e+00 -1.060000000000000000e+02, -8.101939386281570066e+00 -1.070000000000000000e+02, -8.174794704051889127e+00 -1.080000000000000000e+02, -8.243486312266831817e+00 -1.090000000000000000e+02, -8.322819971493867541e+00 -1.100000000000000000e+02, -8.379180654623350932e+00 -1.110000000000000000e+02, -8.459756618319991262e+00 -1.120000000000000000e+02, -8.532097321410136104e+00 -1.130000000000000000e+02, -8.596230996097281363e+00 -1.140000000000000000e+02, -8.665578944462307476e+00 -1.150000000000000000e+02, -8.735245468141094705e+00 -1.160000000000000000e+02, -8.809468480652407507e+00 -1.170000000000000000e+02, -8.881391165557429801e+00 -1.180000000000000000e+02, -8.927212368870296899e+00 -1.190000000000000000e+02, -9.021430258898224253e+00 -1.200000000000000000e+02, -9.077349715218453241e+00 -1.210000000000000000e+02, -9.156786725017463269e+00 -1.220000000000000000e+02, -9.220338615162599893e+00 -1.230000000000000000e+02, -9.283320231302992553e+00 -1.240000000000000000e+02, -9.353010078521462489e+00 -1.250000000000000000e+02, -9.417665796253423593e+00 -1.260000000000000000e+02, -9.497663712926152968e+00 -1.270000000000000000e+02, -9.556228256027351264e+00 -1.280000000000000000e+02, -9.623580592729233274e+00 -1.290000000000000000e+02, -9.694466847317425362e+00 -1.300000000000000000e+02, -9.761525504690210298e+00 -1.310000000000000000e+02, -9.824042705824581390e+00 -1.320000000000000000e+02, -9.894727858756905192e+00 -1.330000000000000000e+02, -9.962057882920728247e+00 -1.340000000000000000e+02, -1.003474730029041417e+01 -1.350000000000000000e+02, -1.008971702745040666e+01 -1.360000000000000000e+02, -1.015594537074611914e+01 -1.370000000000000000e+02, -1.022823262676378242e+01 -1.380000000000000000e+02, -1.029923286707289876e+01 -1.390000000000000000e+02, -1.035968134892445214e+01 -1.400000000000000000e+02, -1.042817370264964083e+01 -1.410000000000000000e+02, -1.048694440935382843e+01 -1.420000000000000000e+02, -1.055878098000831677e+01 -1.430000000000000000e+02, -1.062389197088744908e+01 -1.440000000000000000e+02, -1.068563361367387543e+01 -1.450000000000000000e+02, -1.075315684374236191e+01 -1.460000000000000000e+02, -1.081423527685027430e+01 -1.470000000000000000e+02, -1.088452362458366984e+01 -1.480000000000000000e+02, -1.094119111685928480e+01 -1.490000000000000000e+02, -1.101284050449974927e+01 -1.500000000000000000e+02, -1.107794996063173265e+01 -1.510000000000000000e+02, -1.114730482434109859e+01 -1.520000000000000000e+02, -1.119611382143658318e+01 -1.530000000000000000e+02, -1.126488917382081922e+01 -1.540000000000000000e+02, -1.133894789258021696e+01 -1.550000000000000000e+02, -1.138876517531544330e+01 -1.560000000000000000e+02, -1.146073247804479145e+01 -1.570000000000000000e+02, -1.151941850631474829e+01 -1.580000000000000000e+02, -1.158488704092391508e+01 -1.590000000000000000e+02, -1.164623342323545607e+01 -1.600000000000000000e+02, -1.171179967283218915e+01 -1.610000000000000000e+02, -1.176603000654459485e+01 -1.620000000000000000e+02, -1.183986684416182911e+01 -1.630000000000000000e+02, -1.189278341724004839e+01 -1.640000000000000000e+02, -1.195407832111983026e+01 -1.650000000000000000e+02, -1.201640767727162462e+01 -1.660000000000000000e+02, -1.208130897910646873e+01 -1.670000000000000000e+02, -1.213601960906946253e+01 -1.680000000000000000e+02, -1.220285781405227965e+01 -1.690000000000000000e+02, -1.225393820832617031e+01 -1.700000000000000000e+02, -1.231925943837789639e+01 -1.710000000000000000e+02, -1.237610007127346812e+01 -1.720000000000000000e+02, -1.243339641251415095e+01 -1.730000000000000000e+02, -1.250379623234324633e+01 -1.740000000000000000e+02, -1.254820211499679949e+01 -1.750000000000000000e+02, -1.260766739050475493e+01 -1.760000000000000000e+02, -1.266272969977129392e+01 -1.770000000000000000e+02, -1.272478267099054428e+01 -1.780000000000000000e+02, -1.277896682493676117e+01 -1.790000000000000000e+02, -1.282871022319131527e+01 -1.800000000000000000e+02, -1.288734255019910790e+01 -1.810000000000000000e+02, -1.293487083701797857e+01 -1.820000000000000000e+02, -1.299003876109532385e+01 -1.830000000000000000e+02, -1.304315426370312281e+01 -1.840000000000000000e+02, -1.308789301001264249e+01 -1.850000000000000000e+02, -1.314002462020431494e+01 -1.860000000000000000e+02, -1.318537332521340666e+01 -1.870000000000000000e+02, -1.322540941041601847e+01 -1.880000000000000000e+02, -1.327781679109357249e+01 -1.890000000000000000e+02, -1.332201919105658661e+01 -1.900000000000000000e+02, -1.335671398752539751e+01 -1.910000000000000000e+02, -1.339516035271442718e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE205 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE205 deleted file mode 100644 index 63f7e656..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/spectrumLogE_RE205 +++ /dev/null @@ -1,191 +0,0 @@ -1.000000000000000000e+00, 2.907471096763064367e+00 -2.000000000000000000e+00, 3.096245403874198665e+00 -3.000000000000000000e+00, 2.354052432691052577e+00 -4.000000000000000000e+00, 1.534513935503687865e+00 -5.000000000000000000e+00, 1.302091356603092054e+00 -6.000000000000000000e+00, 1.035945721943930309e+00 -7.000000000000000000e+00, 6.503780895835353792e-01 -8.000000000000000000e+00, 5.296924402026308432e-01 -9.000000000000000000e+00, 4.355672816962208316e-01 -1.000000000000000000e+01, 3.160076772696276404e-01 -1.100000000000000000e+01, 4.460456842267201960e-02 -1.200000000000000000e+01, -1.077529089460800699e-01 -1.300000000000000000e+01, -1.050507149405068841e-01 -1.400000000000000000e+01, -2.183960718072803509e-01 -1.500000000000000000e+01, -4.057770441401312711e-01 -1.600000000000000000e+01, -4.981351501221253919e-01 -1.700000000000000000e+01, -5.752012168553001237e-01 -1.800000000000000000e+01, -6.710588184993973027e-01 -1.900000000000000000e+01, -8.279090724467089712e-01 -2.000000000000000000e+01, -8.569238490642769879e-01 -2.100000000000000000e+01, -1.023071941280439434e+00 -2.200000000000000000e+01, -1.044482680055088597e+00 -2.300000000000000000e+01, -1.186083248458497996e+00 -2.400000000000000000e+01, -1.289162422176147960e+00 -2.500000000000000000e+01, -1.382093904179370725e+00 -2.600000000000000000e+01, -1.482407813681860809e+00 -2.700000000000000000e+01, -1.577215283920454958e+00 -2.800000000000000000e+01, -1.660825205725788178e+00 -2.900000000000000000e+01, -1.746263840443657456e+00 -3.000000000000000000e+01, -1.820583670657856423e+00 -3.100000000000000000e+01, -1.945463530443802380e+00 -3.200000000000000000e+01, -2.034523481661425492e+00 -3.300000000000000000e+01, -2.129656260232219100e+00 -3.400000000000000000e+01, -2.210755248069016243e+00 -3.500000000000000000e+01, -2.294215538816275490e+00 -3.600000000000000000e+01, -2.375863475826231586e+00 -3.700000000000000000e+01, -2.468301069264915881e+00 -3.800000000000000000e+01, -2.551316408682969605e+00 -3.900000000000000000e+01, -2.670159964111843642e+00 -4.000000000000000000e+01, -2.715367029835022983e+00 -4.100000000000000000e+01, -2.817222810663472909e+00 -4.200000000000000000e+01, -2.873748521550808288e+00 -4.300000000000000000e+01, -3.001680658031948834e+00 -4.400000000000000000e+01, -3.055756955736699698e+00 -4.500000000000000000e+01, -3.155052567078736825e+00 -4.600000000000000000e+01, -3.237001113930265461e+00 -4.700000000000000000e+01, -3.316051789452242993e+00 -4.800000000000000000e+01, -3.414295372184615651e+00 -4.900000000000000000e+01, -3.461758907393791329e+00 -5.000000000000000000e+01, -3.559802064064295557e+00 -5.100000000000000000e+01, -3.647080011678047740e+00 -5.200000000000000000e+01, -3.722277427640853897e+00 -5.300000000000000000e+01, -3.794990794151128277e+00 -5.400000000000000000e+01, -3.892594744234333604e+00 -5.500000000000000000e+01, -3.968131862104088636e+00 -5.600000000000000000e+01, -4.047778196889321833e+00 -5.700000000000000000e+01, -4.101713298304692223e+00 -5.800000000000000000e+01, -4.195725568025231667e+00 -5.900000000000000000e+01, -4.268809946008279788e+00 -6.000000000000000000e+01, -4.355371721205219870e+00 -6.100000000000000000e+01, -4.430627914431141789e+00 -6.200000000000000000e+01, -4.498548126511412448e+00 -6.300000000000000000e+01, -4.580362246331260323e+00 -6.400000000000000000e+01, -4.650499655267256394e+00 -6.500000000000000000e+01, -4.728913148026590463e+00 -6.600000000000000000e+01, -4.822217653325756359e+00 -6.700000000000000000e+01, -4.881750353629792372e+00 -6.800000000000000000e+01, -4.964321877122800153e+00 -6.900000000000000000e+01, -5.032117399465542817e+00 -7.000000000000000000e+01, -5.095471563257186531e+00 -7.100000000000000000e+01, -5.199922074574010900e+00 -7.200000000000000000e+01, -5.239897364701010751e+00 -7.300000000000000000e+01, -5.342615575906798142e+00 -7.400000000000000000e+01, -5.397286393449903130e+00 -7.500000000000000000e+01, -5.470363223033550604e+00 -7.600000000000000000e+01, -5.562929157992307694e+00 -7.700000000000000000e+01, -5.616016540230162057e+00 -7.800000000000000000e+01, -5.703273452489058926e+00 -7.900000000000000000e+01, -5.754789004862455926e+00 -8.000000000000000000e+01, -5.849402802759740894e+00 -8.100000000000000000e+01, -5.909516376638241475e+00 -8.200000000000000000e+01, -5.985175322524423080e+00 -8.300000000000000000e+01, -6.059548272584797779e+00 -8.400000000000000000e+01, -6.117933138426661088e+00 -8.500000000000000000e+01, -6.213493295639547220e+00 -8.600000000000000000e+01, -6.259900219467893656e+00 -8.700000000000000000e+01, -6.347691357529236633e+00 -8.800000000000000000e+01, -6.406410967759124553e+00 -8.900000000000000000e+01, -6.480084627458793101e+00 -9.000000000000000000e+01, -6.551089400732396761e+00 -9.100000000000000000e+01, -6.619376501394431678e+00 -9.200000000000000000e+01, -6.689113349366572869e+00 -9.300000000000000000e+01, -6.767433252207038841e+00 -9.400000000000000000e+01, -6.830156408169663074e+00 -9.500000000000000000e+01, -6.900424881932712751e+00 -9.600000000000000000e+01, -6.971816655329524437e+00 -9.700000000000000000e+01, -7.035348142939692018e+00 -9.800000000000000000e+01, -7.097397680160821842e+00 -9.900000000000000000e+01, -7.179936832899369570e+00 -1.000000000000000000e+02, -7.247145482026883911e+00 -1.010000000000000000e+02, -7.314079776269073463e+00 -1.020000000000000000e+02, -7.383420780376438231e+00 -1.030000000000000000e+02, -7.446479917838054519e+00 -1.040000000000000000e+02, -7.514788144435440742e+00 -1.050000000000000000e+02, -7.591377816541252876e+00 -1.060000000000000000e+02, -7.647956095119779363e+00 -1.070000000000000000e+02, -7.717687570649956363e+00 -1.080000000000000000e+02, -7.783319625430947575e+00 -1.090000000000000000e+02, -7.859513897132042182e+00 -1.100000000000000000e+02, -7.912706969445435057e+00 -1.110000000000000000e+02, -7.990020994691927392e+00 -1.120000000000000000e+02, -8.059238797630200679e+00 -1.130000000000000000e+02, -8.120204811979013115e+00 -1.140000000000000000e+02, -8.186441542860356080e+00 -1.150000000000000000e+02, -8.252877535441980328e+00 -1.160000000000000000e+02, -8.323920073244364559e+00 -1.170000000000000000e+02, -8.392743470685777751e+00 -1.180000000000000000e+02, -8.435230023781352671e+00 -1.190000000000000000e+02, -8.526389989820859938e+00 -1.200000000000000000e+02, -8.579104677115397593e+00 -1.210000000000000000e+02, -8.655365250379519537e+00 -1.220000000000000000e+02, -8.715842946022410942e+00 -1.230000000000000000e+02, -8.775679867662546485e+00 -1.240000000000000000e+02, -8.842061975647022010e+00 -1.250000000000000000e+02, -8.903485209700418679e+00 -1.260000000000000000e+02, -8.980384878349763511e+00 -1.270000000000000000e+02, -9.035821955810675377e+00 -1.280000000000000000e+02, -9.100014662054020320e+00 -1.290000000000000000e+02, -9.167686263371875199e+00 -1.300000000000000000e+02, -9.231527086292411255e+00 -1.310000000000000000e+02, -9.290875581924369797e+00 -1.320000000000000000e+02, -9.358414103196139422e+00 -1.330000000000000000e+02, -9.422520628709870394e+00 -1.340000000000000000e+02, -9.492082433433676414e+00 -1.350000000000000000e+02, -9.543836711679555052e+00 -1.360000000000000000e+02, -9.606770633849716745e+00 -1.370000000000000000e+02, -9.675955439891932741e+00 -1.380000000000000000e+02, -9.743693060902032244e+00 -1.390000000000000000e+02, -9.800970818889474856e+00 -1.400000000000000000e+02, -9.866344663556624539e+00 -1.410000000000000000e+02, -9.921776067611670413e+00 -1.420000000000000000e+02, -9.990443762998369337e+00 -1.430000000000000000e+02, -1.005243385891657404e+01 -1.440000000000000000e+02, -1.011100480725318285e+01 -1.450000000000000000e+02, -1.017534479352828924e+01 -1.460000000000000000e+02, -1.023314220835723631e+01 -1.470000000000000000e+02, -1.030022822834212448e+01 -1.480000000000000000e+02, -1.035372201526374170e+01 -1.490000000000000000e+02, -1.042203422318849881e+01 -1.500000000000000000e+02, -1.048396356380451699e+01 -1.510000000000000000e+02, -1.055011887996120734e+01 -1.520000000000000000e+02, -1.059567713877540918e+01 -1.530000000000000000e+02, -1.066129106661640513e+01 -1.540000000000000000e+02, -1.073205587276042294e+01 -1.550000000000000000e+02, -1.077865964482708883e+01 -1.560000000000000000e+02, -1.084734287370038963e+01 -1.570000000000000000e+02, -1.090277818841312829e+01 -1.580000000000000000e+02, -1.096494123099965101e+01 -1.590000000000000000e+02, -1.102295458896724867e+01 -1.600000000000000000e+02, -1.108533283170813455e+01 -1.610000000000000000e+02, -1.113627322872202896e+01 -1.620000000000000000e+02, -1.120678665189526235e+01 -1.630000000000000000e+02, -1.125644371542168720e+01 -1.640000000000000000e+02, -1.131432712054871104e+01 -1.650000000000000000e+02, -1.137338211718116376e+01 -1.660000000000000000e+02, -1.143491555863224285e+01 -1.670000000000000000e+02, -1.148623774784287832e+01 -1.680000000000000000e+02, -1.154967595226695742e+01 -1.690000000000000000e+02, -1.159748042353767516e+01 -1.700000000000000000e+02, -1.165932621752588894e+01 -1.710000000000000000e+02, -1.171261132262134019e+01 -1.720000000000000000e+02, -1.176659885721525001e+01 -1.730000000000000000e+02, -1.183342031910273029e+01 -1.740000000000000000e+02, -1.187441641201341547e+01 -1.750000000000000000e+02, -1.193027683696454311e+01 -1.760000000000000000e+02, -1.198181377007340842e+01 -1.770000000000000000e+02, -1.204044079970502068e+01 -1.780000000000000000e+02, -1.209099076673146200e+01 -1.790000000000000000e+02, -1.213714123549712554e+01 -1.800000000000000000e+02, -1.219213277717901533e+01 -1.810000000000000000e+02, -1.223605616265557927e+01 -1.820000000000000000e+02, -1.228762258623218351e+01 -1.830000000000000000e+02, -1.233710923342661658e+01 -1.840000000000000000e+02, -1.237823138574430182e+01 -1.850000000000000000e+02, -1.242680393896835334e+01 -1.860000000000000000e+02, -1.246861834080020159e+01 -1.870000000000000000e+02, -1.250515688545115367e+01 -1.880000000000000000e+02, -1.255400835621351163e+01 -1.890000000000000000e+02, -1.259494504157741623e+01 -1.900000000000000000e+02, -1.262646419019705313e+01 -1.910000000000000000e+02, -1.266185625998803665e+01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE060 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE060 deleted file mode 100644 index 1d80e95a..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE060 +++ /dev/null @@ -1,15 +0,0 @@ -2.642910915572064812e-01 -1.725285937474239917e-01 -1.252389675618492404e-01 -1.220443372522742737e-01 -1.163089698045403630e-01 -1.134624806554122012e-01 -1.145335071531084215e-01 -1.213761711203667631e-01 -1.226709076244881930e-01 -1.256032467315058021e-01 -1.316748270085497663e-01 -1.369028840347154274e-01 -1.412692329997384810e-01 -1.459843257032586439e-01 -1.509503072560655357e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE065 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE065 deleted file mode 100644 index 57d01011..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE065 +++ /dev/null @@ -1,15 +0,0 @@ -2.676642670372247346e-01 -1.845387601420462043e-01 -1.409417070890186807e-01 -1.218329313353315596e-01 -1.054034118653702223e-01 -1.039712955482877399e-01 -1.122752564154919919e-01 -1.180525606054502324e-01 -1.221084942244924920e-01 -1.264961860331902388e-01 -1.323978020028592772e-01 -1.350474827140796530e-01 -1.415793336110083012e-01 -1.468037517500478395e-01 -1.521862098276231812e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE070 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE070 deleted file mode 100644 index b6f577bb..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE070 +++ /dev/null @@ -1,15 +0,0 @@ -2.960647462526266316e-01 -1.699712473876900110e-01 -1.422618073398622673e-01 -1.190806942061782281e-01 -1.041691557745965252e-01 -1.000118119227715457e-01 -1.048281250330206221e-01 -1.085188639584249715e-01 -1.158874442246401598e-01 -1.193097337787004525e-01 -1.242344835314893592e-01 -1.299468842383458278e-01 -1.339221596520666913e-01 -1.392765963690461295e-01 -1.440584847535104074e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE076 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE076 deleted file mode 100644 index e3f1935c..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE076 +++ /dev/null @@ -1,15 +0,0 @@ -3.009695926136470856e-01 -1.775201326746734809e-01 -1.411694086574462881e-01 -1.191554118664090722e-01 -1.032609493763956138e-01 -1.048675581290303138e-01 -1.072286636300115586e-01 -1.107677837256463571e-01 -1.131659111498478781e-01 -1.173002729430822205e-01 -1.246578117973931310e-01 -1.281654492552572466e-01 -1.332679526278484905e-01 -1.397683577127232790e-01 -1.432690074306856853e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE082 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE082 deleted file mode 100644 index 5fb15aea..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE082 +++ /dev/null @@ -1,15 +0,0 @@ -3.360924863094771897e-01 -1.995483363190943271e-01 -1.481515771692481775e-01 -1.219078996973880641e-01 -1.044345277875899092e-01 -9.980713647597977412e-02 -1.013180506716308688e-01 -1.039215141727261593e-01 -1.082053231694132256e-01 -1.121513821346512424e-01 -1.162541406540016781e-01 -1.213285480426147395e-01 -1.251942921296705646e-01 -1.296999854696372356e-01 -1.336420400276739640e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE088 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE088 deleted file mode 100644 index 19e57e36..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE088 +++ /dev/null @@ -1,15 +0,0 @@ -3.255607980848926331e-01 -1.810709771822710257e-01 -1.405526013816504882e-01 -1.207748307199176252e-01 -1.023881878697193992e-01 -9.160400004600528778e-02 -9.484451922775710697e-02 -9.575659300210974390e-02 -9.844121282845777476e-02 -1.032633007591915453e-01 -1.083881444165061686e-01 -1.126702849971913251e-01 -1.167871641887059664e-01 -1.215297059758322501e-01 -1.241501644843832353e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE095 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE095 deleted file mode 100644 index 6edff8c0..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE095 +++ /dev/null @@ -1,15 +0,0 @@ -3.328417463939569165e-01 -1.861562808620985388e-01 -1.438020488864734381e-01 -1.246543699408546035e-01 -1.093614175829478175e-01 -9.481656903990987040e-02 -9.563354619984711091e-02 -9.243136505841201278e-02 -9.212535243278023589e-02 -9.462527786746684211e-02 -1.004313507556634927e-01 -1.039230596640687843e-01 -1.076830895363421747e-01 -1.122806213219195576e-01 -1.167245482877888874e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE103 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE103 deleted file mode 100644 index 1711c63f..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE103 +++ /dev/null @@ -1,15 +0,0 @@ -3.247879767563058850e-01 -1.945815544849848755e-01 -1.480165403362955212e-01 -1.265783580522970575e-01 -1.036908714372513363e-01 -9.143402150203958079e-02 -8.922075258920546259e-02 -8.915971549502245408e-02 -8.752433349266756923e-02 -8.942401006387828977e-02 -9.272965532462550120e-02 -9.604463307694316443e-02 -9.774225914615868038e-02 -1.015249559993332690e-01 -1.061990493409654679e-01 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE111 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE111 deleted file mode 100644 index a7a08a42..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE111 +++ /dev/null @@ -1,15 +0,0 @@ -3.412980165807896205e-01 -1.972882560073773439e-01 -1.474970064391918634e-01 -1.198994955499098902e-01 -1.001275459275656615e-01 -8.496640801112625985e-02 -8.324182674841490437e-02 -7.840642481820325749e-02 -7.813271783295674955e-02 -7.967515617760220770e-02 -7.955738592577453472e-02 -8.274019742136108635e-02 -8.575762560064453810e-02 -8.885198118140455459e-02 -9.127531836371120810e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE120 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE120 deleted file mode 100644 index de118550..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE120 +++ /dev/null @@ -1,15 +0,0 @@ -3.236409382179087357e-01 -1.737655267533063652e-01 -1.386251862378220789e-01 -1.268153330466376127e-01 -9.801244760569961800e-02 -8.513655181456314391e-02 -8.323146281392325430e-02 -7.538206877577029175e-02 -7.292808351721577487e-02 -7.375408454532549063e-02 -7.632020012931199637e-02 -7.708186731292535065e-02 -7.833019614496955496e-02 -8.076374608056038906e-02 -8.325924760404625202e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE130 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE130 deleted file mode 100644 index dc09a28b..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE130 +++ /dev/null @@ -1,15 +0,0 @@ -3.065757541551848986e-01 -1.749055336887997414e-01 -1.437168543553343780e-01 -1.175913299985143490e-01 -9.800609393520520740e-02 -8.830499412783730795e-02 -8.230826926585819991e-02 -7.723474500354522709e-02 -7.844659424279677717e-02 -7.636015963306062859e-02 -7.721536552026149469e-02 -7.852738837956117768e-02 -7.789441479266996649e-02 -7.946473223000680153e-02 -8.161119480952742922e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE140 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE140 deleted file mode 100644 index ab194095..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE140 +++ /dev/null @@ -1,15 +0,0 @@ -2.882282465651725412e-01 -1.702425514924011118e-01 -1.335407365523076650e-01 -1.170463811602317633e-01 -9.816390144121739381e-02 -8.435128738227214151e-02 -7.823749376260451249e-02 -7.248585498126938753e-02 -7.129195492563442094e-02 -7.018947564675456774e-02 -7.064412304366084194e-02 -7.124303460502469376e-02 -7.174805027373057364e-02 -7.328416990341848902e-02 -7.493086254702484295e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE151 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE151 deleted file mode 100644 index af43eb14..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE151 +++ /dev/null @@ -1,15 +0,0 @@ -3.391412954014318970e-01 -1.896468093776867703e-01 -1.394108230907131485e-01 -1.306228968080124508e-01 -1.067839185724062945e-01 -8.911360098611879887e-02 -8.393729893468804271e-02 -7.904085084537701422e-02 -7.441022514468105531e-02 -7.280743864302162416e-02 -7.358124465878375375e-02 -7.447095933457167916e-02 -7.531813983928277445e-02 -7.631176462220080892e-02 -7.618535493521987056e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE163 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE163 deleted file mode 100644 index ca8016d8..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE163 +++ /dev/null @@ -1,15 +0,0 @@ -3.022617856819934667e-01 -1.721816965107994535e-01 -1.414679170512533057e-01 -1.189846758456716141e-01 -9.895811644307747623e-02 -8.414494118630573560e-02 -8.846934865011342464e-02 -7.729573364275975356e-02 -7.326345899670919093e-02 -7.079427417683863133e-02 -6.864344470344523053e-02 -6.845310338328093602e-02 -6.764981400378693166e-02 -6.844946969744240828e-02 -6.858779348905377771e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE176 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE176 deleted file mode 100644 index bf7fca0b..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE176 +++ /dev/null @@ -1,15 +0,0 @@ -3.187724434134139861e-01 -2.011572290167602250e-01 -1.452423682283744966e-01 -1.280042869520835735e-01 -1.057645018685056670e-01 -9.108788233388546984e-02 -8.599637641510683717e-02 -8.128516132894400559e-02 -7.576205428519505736e-02 -7.286867007095307325e-02 -7.244484999838600447e-02 -7.165796886388157982e-02 -7.205995892592585716e-02 -7.175416667297877804e-02 -7.220886600047307646e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE190 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE190 deleted file mode 100644 index ebd2d4ad..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE190 +++ /dev/null @@ -1,15 +0,0 @@ -2.960978987646644689e-01 -1.956036809979362356e-01 -1.555622496645038544e-01 -1.146266318741289703e-01 -9.669253682501442737e-02 -8.655211167694033814e-02 -7.815920413655925991e-02 -7.370780407846391769e-02 -6.844815013890631628e-02 -6.563440305922081663e-02 -6.392737502160431018e-02 -6.468806446869863891e-02 -6.272039880555646540e-02 -6.136811817444018380e-02 -6.208340183669554951e-02 diff --git a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE205 b/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE205 deleted file mode 100644 index 363fb0c5..00000000 --- a/apps/CUP3D_LES_HIT/target_RKBPD32_2blocks/stdevLogE_RE205 +++ /dev/null @@ -1,15 +0,0 @@ -2.945306594668565814e-01 -1.722765384995935400e-01 -1.450010945277982188e-01 -1.313427838437600248e-01 -9.827431840676763286e-02 -8.512357274394714846e-02 -8.028083111439568431e-02 -7.706566579213221246e-02 -7.158759854397736544e-02 -7.144717726540282532e-02 -6.669708668563555098e-02 -6.667640511139111270e-02 -6.678308768895646619e-02 -6.566467661185934612e-02 -6.628668536452175797e-02 diff --git a/source/smarties/ReplayMemory/MemoryBuffer.cpp b/source/smarties/ReplayMemory/MemoryBuffer.cpp index 0e283c09..1a285877 100644 --- a/source/smarties/ReplayMemory/MemoryBuffer.cpp +++ b/source/smarties/ReplayMemory/MemoryBuffer.cpp @@ -587,7 +587,9 @@ void MemoryBuffer::setupDataCollectionTasks(TaskQueue& tasks) } MemoryBuffer::~MemoryBuffer() -{} +{ + delete sharing; +} void MemoryBuffer::checkNData() {