input_params1.yaml

---
# This parameter file is for fitting pre-reconstruction (subsampled) dark matter power spectrum at z=0. We use EFT model
# Input observed power spectra and the diagonal terms of covariance matrix
# input observed (simulated) wiggle (with BAO) power spectrum
Pwig_ifile: ./input_files/kaves.W10_sub_1.0000ga.dat   

# input nowiggle power spectrum
Pnow_ifile: ./input_files/kaves.N10_sub_1.0000ga.dat   

# input diagonal terms of covariance matrix of Pwig-Pnow
diag_Cov_Pwnw_ifile: ./input_files/kaves.diag_Cov_Pwnw_sub_a_1.0000.dat      

# input linear power spectrum
Pwig_linear: ./input_files/planck_camb_56106182_matterpower_z0.dat
Pnow_linear: ./input_files/planck_camb_56106182_matterpower_smooth_z0.dat

# Fitting parameters; assign initial value before fitting 

# ----- pre-reconstruction EFT model ---------#
init_params: {"alpha_perp": 1.0, "alpha_para": 1.0, "Sigma_xy": 10.0, "f": 0.5, "b_0": 1.0, "b_partial": 1.0}
# 1 for free parameter; 0 for fixed parameter
params_indices: [1, 1, 1, 1, 0, 1] 
all_temperature: [0.01, 0.01, 0.1, 0.1, 0.01, 0.1]

# ----- pre-reconstruction SBRS model --------#
#init_params: {"alpha_perp": 1.0, "alpha_para": 1.0, "Sigma_xy": 10.0, "Sigma_z": 10.0, "Sigma_fog": 10.0, "f": 0.5, "b_0": 1.0, "b_partial": 0.0}
# 1 for free parameter; 0 for fixed parameter
#params_indices: [1, 1, 1, 1, 0, 1, 0, 0] 
#all_temperature: [0.01, 0.01, 0.1, 0.1, 0.1, 0.1, 0.1, 0.01, 0.1]


N_walkers: 40    # number of MCMC random walkers in each chain
Omega_m: 0.3075  # matter density of the background \Lambda CDM model
sim_z: 0.0       # redshift of the input files

# output file
ofile_name: 'kaves.sub_wnw_10_diff_z{}_params{}_EFT.out'  # for EFT model