From 930aca405e20a3b31d2b2efad18b646579024c42 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 2 Mar 2020 22:15:02 -0800 Subject: [PATCH 001/137] Added sunssb calculatin to theta impact. --- enterprise_extensions/chromatic/solar_wind.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 2e37ea9c..94c3fea2 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -241,7 +241,7 @@ def dm_solar(n_earth,theta,r_earth): _dm_solar(n_earth, theta, r_earth), _dm_solar_close(n_earth, r_earth)) -def theta_impact(planetssb,pos_t): +def theta_impact(planetssb,sunssb,pos_t): """ Use the attributes of an enterprise Pulsar object to calculate the solar impact angle. @@ -254,8 +254,10 @@ def theta_impact(planetssb,pos_t): returns: Solar impact angle (rad), Distance to Earth """ earth = planetssb[:, 2, :3] - R_earth = np.sqrt(np.einsum('ij,ij->i',earth, earth)) - Re_cos_theta_impact = np.einsum('ij,ij->i',earth, pos_t) + sun = sunssb[:,:3] + earthsun = earth-sun + R_earth = np.sqrt(np.einsum('ij,ij->i',earthsun, earthsun)) + Re_cos_theta_impact = np.einsum('ij,ij->i',earthsun, pos_t) theta_impact = np.arccos(-Re_cos_theta_impact / R_earth) From eb3a5fe7e8f383b34550d7bea4213b7c5cca8639 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Sun, 8 Mar 2020 01:08:29 -0800 Subject: [PATCH 002/137] added to theta_impact docstring --- enterprise_extensions/chromatic/solar_wind.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 94c3fea2..dd133b69 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -248,6 +248,8 @@ def theta_impact(planetssb,sunssb,pos_t): ::param :planetssb Solar system barycenter timeseries supplied with enterprise.Pulsar objects. + ::param :sunssb Solar system sun-to-barycenter timeseries supplied with + enterprise.Pulsar objects. ::param :pos_t Unit vector to pulsar position over time in ecliptic coordinates. Supplied with enterprise.Pulsar objects. @@ -255,9 +257,9 @@ def theta_impact(planetssb,sunssb,pos_t): """ earth = planetssb[:, 2, :3] sun = sunssb[:,:3] - earthsun = earth-sun - R_earth = np.sqrt(np.einsum('ij,ij->i',earthsun, earthsun)) - Re_cos_theta_impact = np.einsum('ij,ij->i',earthsun, pos_t) + earthsun = earth - sun + R_earth = np.sqrt(np.einsum('ij,ij->i', earthsun, earthsun)) + Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, pos_t) theta_impact = np.arccos(-Re_cos_theta_impact / R_earth) From 0107bc2b8c457d0192259821afd1f91dbaa7ed16 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 9 Mar 2020 13:22:09 -0700 Subject: [PATCH 003/137] Added sunssb arg to functions. --- enterprise_extensions/chromatic/solar_wind.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index dd133b69..ee6421fe 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -41,7 +41,7 @@ def solar_wind(toas, freqs, planetssb, pos_t, n_earth=5, n_earth_bins=None, """ if n_earth_bins is None: - theta, R_earth = theta_impact(planetssb, pos_t) + theta, R_earth = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(n_earth, theta, R_earth) dt_DM = (dm_sol_wind) * 4.148808e3 / freqs**2 @@ -94,7 +94,7 @@ def linear_interp_basis_sw_dm(toas, freqs, planetssb, pos_t, dt=7*86400): U, avetoas = utils.linear_interp_basis(toas, dt=dt) # scale with radio frequency - theta, R_earth = theta_impact(planetssb, pos_t) + theta, R_earth = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(1.0, theta, R_earth) dt_DM = dm_sol_wind * 4.148808e3 / (freqs**2) @@ -129,7 +129,7 @@ def createfourierdesignmatrix_solar_dm(toas, freqs, planetssb, pos_t, modes=modes, Tspan=Tspan, logf=logf, fmin=fmin, fmax=fmax) - theta, R_earth = theta_impact(planetssb,pos_t) + theta, R_earth = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(1.0, theta, R_earth) dt_DM = dm_sol_wind * 4.148808e3 /(freqs**2) From 692d227dbb8cdf414a0cc570a6ae8b705b96d673 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 9 Mar 2020 13:39:31 -0700 Subject: [PATCH 004/137] Added sunssb arg to solar_wind --- enterprise_extensions/chromatic/solar_wind.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index ee6421fe..0e77dd64 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -16,7 +16,8 @@ @signal_base.function -def solar_wind(toas, freqs, planetssb, pos_t, n_earth=5, n_earth_bins=None, +def solar_wind(toas, freqs, planetssb, sunssb, pos_t, + n_earth=5, n_earth_bins=None, t_init=None, t_final=None): """ From c2d6db4979dcc99900372bed1e4645f285b0225c Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 9 Mar 2020 16:26:49 -0700 Subject: [PATCH 005/137] Added sunssb arg to create_fourier_designmatrix_sw --- enterprise_extensions/chromatic/solar_wind.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 0e77dd64..e51ae6c6 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -72,8 +72,11 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, bin_mask = np.logical_and(toas >= bin, toas <= edges[ii + 1]) earth = planetssb[bin_mask, 2, :3] - R_earth = np.sqrt(np.einsum('ij,ij->i', earth, earth)) - Re_cos_theta_impact = np.einsum('ij,ij->i', earth, pos_t[bin_mask]) + sun = sunssb[bin_mask,:3] + earthsun = earth - sun + R_earth = np.sqrt(np.einsum('ij,ij->i', earthsun, earthsun)) + Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, + pos_t[bin_mask]) theta = np.arccos(-Re_cos_theta_impact / R_earth) dm_sol_wind = dm_solar(n_earth[ii], theta, R_earth) @@ -89,7 +92,8 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, # linear interpolation basis in time with nu^-2 scaling @signal_base.function -def linear_interp_basis_sw_dm(toas, freqs, planetssb, pos_t, dt=7*86400): +def linear_interp_basis_sw_dm(toas, freqs, planetssb, sunssb, + pos_t, dt=7*86400): # get linear interpolation basis in time U, avetoas = utils.linear_interp_basis(toas, dt=dt) @@ -103,7 +107,7 @@ def linear_interp_basis_sw_dm(toas, freqs, planetssb, pos_t, dt=7*86400): @signal_base.function -def createfourierdesignmatrix_solar_dm(toas, freqs, planetssb, pos_t, +def createfourierdesignmatrix_solar_dm(toas, freqs, planetssb, sunssb, pos_t, modes=None, nmodes=30, Tspan=None, logf=True, fmin=None, fmax=None): From 957fb2f468029f296a8d184dcccf06c0cc3db349 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 17 Mar 2020 09:37:23 -0700 Subject: [PATCH 006/137] Added dm_solar_wind_r_to_p --- enterprise_extensions/chromatic/solar_wind.py | 73 ++++++++++++++++--- 1 file changed, 63 insertions(+), 10 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index e51ae6c6..171ea0a6 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -2,6 +2,7 @@ print_function) import numpy as np import scipy.stats as sps +import scipy.special as spsf import os from enterprise import constants as const from enterprise.signals import signal_base @@ -42,7 +43,7 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, """ if n_earth_bins is None: - theta, R_earth = theta_impact(planetssb, sunssb, pos_t) + theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(n_earth, theta, R_earth) dt_DM = (dm_sol_wind) * 4.148808e3 / freqs**2 @@ -90,6 +91,32 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, return dt_DM + +@signal_base.function +def solar_wind_r_to_p(toas, freqs, planetssb, sunssb, pos_t, + n_earth=5, power=4.39): + + """ + Construct DM-Solar Model fourier design matrix. + + :param toas: vector of time series in seconds + :param planetssb: solar system bayrcenter positions + :param pos_t: pulsar position as 3-vector + :param freqs: radio frequencies of observations [MHz] + :param n_earth: The electron density from the solar wind at 1 AU. + :param power: Power of the density profile for the solar wind. + + :return dt_DM: Chromatic time delay due to solar wind + """ + + theta, _, b, z_earth = theta_impact(planetssb, sunssb, pos_t) + dm_sol_wind = dm_solar_r_to_p(n_earth, theta, b, z_earth, power) + dt_DM = (dm_sol_wind) * 4.148808e3 / freqs**2 + dt_DM = np.array(dt_DM) + + return dt_DM + + # linear interpolation basis in time with nu^-2 scaling @signal_base.function def linear_interp_basis_sw_dm(toas, freqs, planetssb, sunssb, @@ -99,7 +126,7 @@ def linear_interp_basis_sw_dm(toas, freqs, planetssb, sunssb, U, avetoas = utils.linear_interp_basis(toas, dt=dt) # scale with radio frequency - theta, R_earth = theta_impact(planetssb, sunssb, pos_t) + theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(1.0, theta, R_earth) dt_DM = dm_sol_wind * 4.148808e3 / (freqs**2) @@ -134,7 +161,7 @@ def createfourierdesignmatrix_solar_dm(toas, freqs, planetssb, sunssb, pos_t, modes=modes, Tspan=Tspan, logf=logf, fmin=fmin, fmax=fmax) - theta, R_earth = theta_impact(planetssb, sunssb, pos_t) + theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(1.0, theta, R_earth) dt_DM = dm_sol_wind * 4.148808e3 /(freqs**2) @@ -234,31 +261,56 @@ def _dm_solar(n_earth,theta,r_earth): / (r_earth * np.sin(theta))) ) -def dm_solar(n_earth,theta,r_earth): +def dm_solar(n_earth, theta, r_earth): """ Calculates Dispersion measure due to 1/r^2 solar wind density model. ::param :n_earth Solar wind proto/electron density at Earth (1/cm^3) ::param :theta: angle between sun and line-of-sight to pulsar (rad) ::param :r_earth :distance from Earth to Sun in (light seconds). - See You et al. 20007 for more details. + See You et al. 2007 for more details. """ return np.where(np.pi - theta >= 1e-5, _dm_solar(n_earth, theta, r_earth), _dm_solar_close(n_earth, r_earth)) -def theta_impact(planetssb,sunssb,pos_t): + +def dm_solar_r_to_p(n_earth, theta, b, z_earth, p): + """ + Calculates Dispersion measure due to 1/r^p solar wind density model. + ::param :n_earth Solar wind proton/electron density at Earth (1/cm^3) + ::param :theta: angle between sun and line-of-sight to pulsar (rad) + ::param :r_earth :distance from Earth to Sun in (light seconds). + See You et al. 20007 for more details. + """ + return _dm_solar_r_to_p(n_earth, b, z_earth, p) + # return np.where(np.pi - theta >= 1e-8, + # _dm_solar_r_to_p(n_earth, b, z_earth, p), + # _dm_solar_close_r_to_p(n_earth, z_earth, p)) + +def _dm_solar_close_r_to_p(n, z, p): + return n * (AU_light_sec / z)**(p - 1) * (AU_pc / p) + +def _dm_solar_r_to_p(n, b, z, p): + return (n * (AU_light_sec / b)**p * b / const.pc * const.c + * (_dm_p_int(b, 1e14, p) - _dm_p_int(b, -z, p))) + +def _dm_p_int(b, z, p): + return z / b * spsf.hyp2f1(0.5, p/2., 1.5, -z**2 / b**2) + +def theta_impact(planetssb, sunssb, pos_t): """ Use the attributes of an enterprise Pulsar object to calculate the solar impact angle. - ::param :planetssb Solar system barycenter timeseries supplied with + ::param :planetssb Solar system barycenter time series supplied with enterprise.Pulsar objects. ::param :sunssb Solar system sun-to-barycenter timeseries supplied with enterprise.Pulsar objects. ::param :pos_t Unit vector to pulsar position over time in ecliptic coordinates. Supplied with enterprise.Pulsar objects. - returns: Solar impact angle (rad), Distance to Earth + returns: Solar impact angle (rad), Distance to Earth (R_earth), + impact distance (b), perpendicular distance (z_earth) """ earth = planetssb[:, 2, :3] sun = sunssb[:,:3] @@ -267,8 +319,9 @@ def theta_impact(planetssb,sunssb,pos_t): Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, pos_t) theta_impact = np.arccos(-Re_cos_theta_impact / R_earth) + b = np.sqrt(R_earth**2 - Re_cos_theta_impact**2) - return theta_impact, R_earth + return theta_impact, R_earth, b, -Re_cos_theta_impact def sw_mask(psrs, angle_cutoff=None): @@ -283,7 +336,7 @@ def sw_mask(psrs, angle_cutoff=None): solar_wind_mask = {} angle_cutoff = np.deg2rad(angle_cutoff) for ii,p in enumerate(psrs): - impact_ang = theta_impact(p) + impact_ang, _, _, _ = theta_impact(p) solar_wind_mask[p.name] = np.where(impact_ang > angle_cutoff, True, False) From 5a9b2756feb8f175a1163791dfa7c2474c32e41a Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 17 Mar 2020 15:42:58 -0700 Subject: [PATCH 007/137] Added flag to be able to use log10_ne --- enterprise_extensions/chromatic/solar_wind.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 171ea0a6..931f28b9 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -94,7 +94,7 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, @signal_base.function def solar_wind_r_to_p(toas, freqs, planetssb, sunssb, pos_t, - n_earth=5, power=4.39): + n_earth=5, power=4.39, log10_ne=False): """ Construct DM-Solar Model fourier design matrix. @@ -105,9 +105,14 @@ def solar_wind_r_to_p(toas, freqs, planetssb, sunssb, pos_t, :param freqs: radio frequencies of observations [MHz] :param n_earth: The electron density from the solar wind at 1 AU. :param power: Power of the density profile for the solar wind. + :param log10_ne: Whether the provided value is log10 of the electron + density for this term. Suggested to set True for power much larger than + normal. :return dt_DM: Chromatic time delay due to solar wind """ + if log10_ne: + n_earth = 10**n_earth theta, _, b, z_earth = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar_r_to_p(n_earth, theta, b, z_earth, power) From 4e3987d2ddffdc4407420c6850ea5aa2269f17f5 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 27 Mar 2020 15:29:55 -0700 Subject: [PATCH 008/137] Added flag to model2a, model3a, modelgen to turn off rn model. --- enterprise_extensions/models.py | 71 +++++++++++++++++++++++---------- tests/test_models.py | 14 +++++++ 2 files changed, 65 insertions(+), 20 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index d4951bae..8920afb0 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -336,7 +336,7 @@ def model_1(psrs, psd='powerlaw', noisedict=None, components=30, def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, gamma_common=None, upper_limit=False, bayesephem=False, - be_type='orbel', wideband=False, select='backend', + be_type='orbel', wideband=False, select='backend', rn_psrs='all', pshift=False): """ Reads in list of enterprise Pulsar instance and returns a PTA @@ -380,13 +380,16 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, # find the maximum time span to set GW frequency sampling Tspan = model_utils.get_tspan(psrs) + # common red noise block + s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, + components=components, gamma_val=gamma_common, + name='gw', pshift=pshift) + # red noise - s = red_noise_block(prior=amp_prior, Tspan=Tspan, components=components) + rn = red_noise_block(prior=amp_prior, Tspan=Tspan, components=components) - # common red noise block - s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, - components=components, gamma_val=gamma_common, - name='gw', pshift=pshift) + if isinstance(rn_psrs, str) and rn_psrs=='all': + s += rn # ephemeris model if bayesephem: @@ -398,12 +401,19 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, # adding white-noise, and acting on psr objects models = [] for p in psrs: + if isinstance(rn_psrs, list): + if p.name in rn_psrs: + ss = s + rn + else: + ss = s + else: + ss = s if 'NANOGrav' in p.flags['pta'] and not wideband: - s2 = s + white_noise_block(vary=False, inc_ecorr=True, + s2 = ss + white_noise_block(vary=False, inc_ecorr=True, select=select) models.append(s2(p)) else: - s3 = s + white_noise_block(vary=False, inc_ecorr=False, + s3 = ss + white_noise_block(vary=False, inc_ecorr=False, select=select) models.append(s3(p)) @@ -424,7 +434,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, common_psd='powerlaw', red_psd='powerlaw', orf=None, common_components=30, red_components=30, dm_components=30, modes=None, wgts=None, logfreq=False, nmodes_log=10, - noisedict=None, + noisedict=None, rn_psrs='all', tm_svd=False, tm_norm=True, gamma_common=None, upper_limit=False, upper_limit_red=None, upper_limit_dm=None, upper_limit_common=None, @@ -516,11 +526,13 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, wgts = wgts**2.0 # red noise - s += red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, + rn += red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, components=red_components, modes=modes, wgts=wgts, coefficients=coefficients, select=red_select, break_flat=red_breakflat, break_flat_fq=red_breakflat_fq) + if isinstance(rn_psrs, str) and rn_psrs=='all': + s += rn # common red noise block if orf is None: @@ -558,9 +570,17 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, # adding white-noise, and acting on psr objects models = [] + for p in psrs: + # The if/else statements either add achromatic RN to all psrs or + # a list of pulsars + if isinstance(rn_psrs, list): + if p.name in rn_psrs: + ss = s + rn + else: + ss = s if 'NANOGrav' in p.flags['pta'] and not wideband: - s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True) + s2 = ss + white_noise_block(vary=white_vary, inc_ecorr=True) if gequad: s2 += white_signals.EquadNoise(log10_equad=parameter.Uniform(-8.5, -5), selection=selections.Selection(selections.no_selection), @@ -574,7 +594,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, else: models.append(s2(p)) else: - s4 = s + white_noise_block(vary=white_vary, inc_ecorr=False) + s4 = ss + white_noise_block(vary=white_vary, inc_ecorr=False) if gequad: s4 += white_signals.EquadNoise(log10_equad=parameter.Uniform(-8.5, -5), selection=selections.Selection(selections.no_selection), @@ -849,7 +869,8 @@ def model_2d(psrs, psd='powerlaw', noisedict=None, components=30, def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, gamma_common=None, upper_limit=False, bayesephem=False, - be_type='orbel', wideband=False, correlationsonly=False, pshift=False): + rn_psrs='all', be_type='orbel', wideband=False, + correlationsonly=False, pshift=False): """ Reads in list of enterprise Pulsar instance and returns a PTA instantiated with model 3A from the analysis paper: @@ -893,15 +914,17 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, # find the maximum time span to set GW frequency sampling Tspan = model_utils.get_tspan(psrs) - # red noise - s = red_noise_block(prior='infinitepower' if correlationsonly else amp_prior, - Tspan=Tspan, components=components) - # common red noise block - s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, + s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, components=components, gamma_val=gamma_common, orf='hd', name='gw', pshift=pshift) + # intrinsic red noise + rn = red_noise_block(prior='infinitepower' if correlationsonly else amp_prior, + Tspan=Tspan, components=components) + if isinstance(rn_psrs, str) and rn_psrs=='all': + s += rn + # ephemeris model if bayesephem: s += deterministic_signals.PhysicalEphemerisSignal(use_epoch_toas=True, model=be_type) @@ -912,11 +935,19 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, # adding white-noise, and acting on psr objects models = [] for p in psrs: + if isinstance(rn_psrs, list): + if p.name in rn_psrs: + ss = s + rn + else: + ss = s + else: + ss = s + if 'NANOGrav' in p.flags['pta'] and not wideband: - s2 = s + white_noise_block(vary=False, inc_ecorr=True) + s2 = ss + white_noise_block(vary=False, inc_ecorr=True) models.append(s2(p)) else: - s3 = s + white_noise_block(vary=False, inc_ecorr=False) + s3 = ss + white_noise_block(vary=False, inc_ecorr=False) models.append(s3(p)) # set up PTA diff --git a/tests/test_models.py b/tests/test_models.py index aadd1f12..db86ae53 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -115,6 +115,13 @@ def test_model2a(dmx_psrs,caplog): m2a=models.model_2a(dmx_psrs,noisedict=noise_dict) assert hasattr(m2a,'get_lnlikelihood') +@pytest.mark.filterwarnings('ignore::DeprecationWarning') +def test_model2a_rn_psr(dmx_psrs,caplog): + caplog.set_level(logging.CRITICAL) + m2a=models.model_2a(dmx_psrs, rn_psrs=[dmx_psrs[0].name], + noisedict=noise_dict) + assert hasattr(m2a,'get_lnlikelihood') + @pytest.mark.filterwarnings('ignore::DeprecationWarning') def test_model2b(dmx_psrs,caplog): caplog.set_level(logging.CRITICAL) @@ -139,6 +146,13 @@ def test_model3a(dmx_psrs,caplog): m3a=models.model_3a(dmx_psrs,noisedict=noise_dict) assert hasattr(m3a,'get_lnlikelihood') +@pytest.mark.filterwarnings('ignore::DeprecationWarning') +def test_model3a_rn_psr(dmx_psrs,caplog): + caplog.set_level(logging.CRITICAL) + m3a=models.model_3a(dmx_psrs,rn_psrs=[dmx_psrs[0].name], + noisedict=noise_dict) + assert hasattr(m3a,'get_lnlikelihood') + @pytest.mark.filterwarnings('ignore::DeprecationWarning') def test_model3b(dmx_psrs,caplog): caplog.set_level(logging.CRITICAL) From ab8a1181122a71a785f26ef5b993170bc86e824d Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 31 Mar 2020 21:09:31 -0700 Subject: [PATCH 009/137] Merged with master 2. --- enterprise_extensions/models.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index d708c9fc..ce414c17 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -336,13 +336,8 @@ def model_1(psrs, psd='powerlaw', noisedict=None, components=30, def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, gamma_common=None, upper_limit=False, bayesephem=False, -<<<<<<< HEAD be_type='orbel', wideband=False, select='backend', rn_psrs='all', - pshift=False): -======= - be_type='orbel', wideband=False, select='backend', pshift=False, psr_models=False): ->>>>>>> master """ Reads in list of enterprise Pulsar instance and returns a PTA instantiated with model 2A from the analysis paper: From ac7f846b556048a3bcb338d6d0ac73ac5322a09e Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 6 Apr 2020 09:48:07 -0700 Subject: [PATCH 010/137] Added option for dropout of intrinsic red noise. --- enterprise_extensions/blocks.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index a8407a58..04c058fe 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -13,6 +13,7 @@ from enterprise.signals import gp_priors as gpp from . import gp_kernels as gpk from . import chromatic as chrom +from . import dropout as dropout __all__ = ['white_noise_block', 'red_noise_block', @@ -94,7 +95,8 @@ def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, components=30, gamma_val=None, coefficients=False, select=None, modes=None, wgts=None, - break_flat=False, break_flat_fq=None): + break_flat=False, break_flat_fq=None, + dropout=False, k_threshold=0.5): """ Returns red noise model: 1. Red noise modeled as a power-law with 30 sampling frequencies @@ -133,7 +135,12 @@ def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, gamma = parameter.Uniform(0, 7) # different PSD function parameters - if psd == 'powerlaw': + if psd == 'powerlaw' and dropout: + k_drop = parameter.Uniform(0, 1) + pl = dropout.dropout_powerlaw(log10_A=log10_A, gamma=gamma, + k_drop=k_drop, + k_threshold=k_threshold) + elif psd == 'powerlaw': pl = utils.powerlaw(log10_A=log10_A, gamma=gamma) elif psd == 'powerlaw_genmodes': pl = gpp.powerlaw_genmodes(log10_A=log10_A, gamma=gamma, wgts=wgts) From 11ce8119e1ab7915ab0c77d9e439834f4519b2f3 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 6 Apr 2020 09:49:57 -0700 Subject: [PATCH 011/137] Added dropout params to docstring --- enterprise_extensions/blocks.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 04c058fe..d8b40b72 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -114,6 +114,9 @@ def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, If given, this is the fixed slope of the power-law for powerlaw, turnover, or tprocess red noise :param coefficients: include latent coefficients in GP model? + :param dropout: Use a dropout analysis for intrinsic red noise models. + Currently only supports power law option. + :param k_threshold: Threshold for dropout analysis. """ # red noise parameters that are common if psd in ['powerlaw', 'powerlaw_genmodes', 'turnover', From 52b6146737fd2f264eac72e5be169b6affd14556 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 21 Apr 2020 22:47:16 -0700 Subject: [PATCH 012/137] More merging --- enterprise_extensions/models.py | 31 +++++-------------------------- 1 file changed, 5 insertions(+), 26 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index b4ae093e..a0ea70ac 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -337,13 +337,8 @@ def model_1(psrs, psd='powerlaw', noisedict=None, components=30, def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, n_rnfreqs = None, n_gwbfreqs=None, gamma_common=None, upper_limit=False, bayesephem=False, -<<<<<<< HEAD - be_type='orbel', wideband=False, select='backend', rn_psrs='all', - pshift=False, psr_models=False): -======= - be_type='orbel', wideband=False, select='backend', + be_type='setIII', wideband=False, select='backend', rn_psrs='all', pshift=False, pseed=None, psr_models=False): ->>>>>>> master """ Reads in list of enterprise Pulsar instance and returns a PTA instantiated with model 2A from the analysis paper: @@ -397,18 +392,6 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, # find the maximum time span to set GW frequency sampling Tspan = model_utils.get_tspan(psrs) -<<<<<<< HEAD - # common red noise block - s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, - components=components, gamma_val=gamma_common, - name='gw', pshift=pshift) - - # red noise - rn = red_noise_block(prior=amp_prior, Tspan=Tspan, components=components) - - if isinstance(rn_psrs, str) and rn_psrs=='all': - s += rn -======= if n_gwbfreqs is None: n_gwbfreqs = components @@ -422,7 +405,10 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, components=n_gwbfreqs, gamma_val=gamma_common, name='gw', pshift=pshift, pseed=pseed) ->>>>>>> master + + if isinstance(rn_psrs, str) and rn_psrs=='all': + s += rn + # ephemeris model if bayesephem: @@ -960,12 +946,6 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, # find the maximum time span to set GW frequency sampling Tspan = model_utils.get_tspan(psrs) -<<<<<<< HEAD - # common red noise block - s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, - components=components, gamma_val=gamma_common, - orf='hd', name='gw', pshift=pshift) -======= if n_gwbfreqs is None: n_gwbfreqs = components @@ -980,7 +960,6 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, components=n_gwbfreqs, gamma_val=gamma_common, orf='hd', name='gw', pshift=pshift, pseed=pseed) ->>>>>>> master # intrinsic red noise rn = red_noise_block(prior='infinitepower' if correlationsonly else amp_prior, From f6786c871f3aeabc888c7e0ba68e351c01b14073 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 21 Apr 2020 22:57:31 -0700 Subject: [PATCH 013/137] More merging --- enterprise_extensions/models.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index a0ea70ac..06ef27a8 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -399,10 +399,10 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, n_rnfreqs = components # red noise - s = red_noise_block(prior=amp_prior, Tspan=Tspan, components=n_rnfreqs) + rn = red_noise_block(prior=amp_prior, Tspan=Tspan, components=n_rnfreqs) # common red noise block - s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, + s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, components=n_gwbfreqs, gamma_val=gamma_common, name='gw', pshift=pshift, pseed=pseed) @@ -892,7 +892,6 @@ def model_2d(psrs, psd='powerlaw', noisedict=None, components=30, def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, n_rnfreqs = None, n_gwbfreqs=None, gamma_common=None, upper_limit=False, bayesephem=False, - rn_psrs='all', be_type='orbel', wideband=False, correlationsonly=False, pshift=False, pseed=None, psr_models=False): From 31d0d0d7212430126eff31128f1fa001674ed46e Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 22 Apr 2020 00:26:53 -0700 Subject: [PATCH 014/137] More merging --- enterprise_extensions/models.py | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 06ef27a8..ba41eb30 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -950,19 +950,16 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, if n_rnfreqs is None: n_rnfreqs = components - # red noise - s = red_noise_block(psd='infinitepower' if correlationsonly else 'powerlaw', - prior=amp_prior, - Tspan=Tspan, components=n_rnfreqs) # common red noise block - s += common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, + s = common_red_noise_block(psd=psd, prior=amp_prior, Tspan=Tspan, components=n_gwbfreqs, gamma_val=gamma_common, orf='hd', name='gw', pshift=pshift, pseed=pseed) # intrinsic red noise - rn = red_noise_block(prior='infinitepower' if correlationsonly else amp_prior, - Tspan=Tspan, components=components) + rn = red_noise_block(psd='infinitepower' if correlationsonly else 'powerlaw', + prior=amp_prior, + Tspan=Tspan, components=n_rnfreqs) if isinstance(rn_psrs, str) and rn_psrs=='all': s += rn From c27e0f68d1ce1f917f7b5edb6e224c1db2f61b09 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Sun, 3 May 2020 13:05:41 -0700 Subject: [PATCH 015/137] No changes. --- enterprise_extensions/blocks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 7994da16..52c079b4 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -116,7 +116,7 @@ def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, :param coefficients: include latent coefficients in GP model? :param dropout: Use a dropout analysis for intrinsic red noise models. Currently only supports power law option. - :param k_threshold: Threshold for dropout analysis. + :param k_threshold: Threshold for dropout analysis. """ # red noise parameters that are common if psd in ['powerlaw', 'powerlaw_genmodes', 'turnover', From 84731143c91761a16876a5bf76e7be54a4fd3e5b Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 15 Jun 2020 09:18:43 -0700 Subject: [PATCH 016/137] space deletion --- enterprise_extensions/blocks.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 52c079b4..32c49743 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -71,17 +71,18 @@ def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, # white noise signals ef = white_signals.MeasurementNoise(efac=efac, - selection=backend, name=name) + selection=backend) eq = white_signals.EquadNoise(log10_equad=equad, - selection=backend, name=name) + selection=backend) if inc_ecorr: if gp_ecorr: + if name is None: + name = '' ec = gp_signals.EcorrBasisModel(log10_ecorr=ecorr, - selection=backend_ng, name=name) + selection=backend_ng) else: ec = white_signals.EcorrKernelNoise(log10_ecorr=ecorr, - selection=backend_ng, - name=name) + selection=backend_ng) # combine signals if inc_ecorr: From ea4ae02be8a69e74c6224ef5341372784cf35273 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 15 Jun 2020 10:45:46 -0700 Subject: [PATCH 017/137] Tweaks to WN model for CHIME ECORR --- enterprise_extensions/blocks.py | 11 +++++++++-- enterprise_extensions/models.py | 2 +- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 32c49743..df39645b 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -23,6 +23,12 @@ 'common_red_noise_block', ] +def channelized_backends(backend_flags): + """Selection function to split by channelized backend flags only. For ECORR""" + flagvals = np.unique(backend_flags) + ch_b = ['ASP', 'GASP', 'GUPPI', 'PUPPI', 'CHIME'] + flagvals = filter(lambda x: any(map(lambda y: y in x, ch_b)), flagvals) + return {flagval: backend_flags == flagval for flagval in flagvals} def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, efac1=False, select='backend', name=None): @@ -50,6 +56,7 @@ def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, backend = selections.Selection(selections.by_backend) # define selection by nanograv backends backend_ng = selections.Selection(selections.nanograv_backends) + backend_ch = selections.Selection(channelized_backends) else: # define no selection backend = selections.Selection(selections.no_selection) @@ -79,10 +86,10 @@ def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, if name is None: name = '' ec = gp_signals.EcorrBasisModel(log10_ecorr=ecorr, - selection=backend_ng) + selection=backend_ch) else: ec = white_signals.EcorrKernelNoise(log10_ecorr=ecorr, - selection=backend_ng) + selection=backend_ch) # combine signals if inc_ecorr: diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index ba41eb30..19abea21 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -241,7 +241,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, if extra_sigs is not None: s += extra_sigs # adding white-noise, and acting on psr objects - if 'NANOGrav' in psr.flags['pta'] and not wideband: + if ('NANOGrav' in psr.flags['pta'] or 'CHIME' in psr.flags['f']) and not wideband: s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True) model = s2(psr) else: From 96b1b1d72859fd636b1303d97e84a750c1c001ba Mon Sep 17 00:00:00 2001 From: Joseph Simon Date: Tue, 23 Jun 2020 22:19:24 -0500 Subject: [PATCH 018/137] Adding option to set dt for linear_interp_basis in single_pulsar_model for dm_gp and chrom_gp --- enterprise_extensions/blocks.py | 26 +++++++++++++++----------- enterprise_extensions/models.py | 17 ++++++++++------- 2 files changed, 25 insertions(+), 18 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index df39645b..8b6e55a9 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -227,7 +227,7 @@ def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', - prior='log-uniform', Tspan=None, components=30, + prior='log-uniform', Tspan=None, components=30, dm_dt=15, gamma_val=None, coefficients=False): """ Returns DM noise model: @@ -244,6 +244,8 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', use overall time span for indivicual pulsar. :param components: Number of frequencies in sampling of DM-variations. + :param dm_dt: + Step size for linear_interpolation_basis in units of days. :param gamma_val: If given, this is the fixed slope of the power-law for powerlaw, turnover, or tprocess DM-variations @@ -308,7 +310,7 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', log10_p = parameter.Uniform(-4, 1) log10_gam_p = parameter.Uniform(-3, 2) - dm_basis = gpk.linear_interp_basis_dm(dt=15*86400) + dm_basis = gpk.linear_interp_basis_dm(dt=dm_dt*86400) dm_prior = gpk.periodic_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, log10_gam_p=log10_gam_p, @@ -322,7 +324,7 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', log10_p = parameter.Uniform(-4, 1) log10_gam_p = parameter.Uniform(-3, 2) - dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=15*86400, + dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=dm_dt*86400, dm=True) dm_prior = gpk.tf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, @@ -334,7 +336,7 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', log10_sigma = parameter.Uniform(-10, -4) log10_ell = parameter.Uniform(1, 4) - dm_basis = gpk.linear_interp_basis_dm(dt=15*86400) + dm_basis = gpk.linear_interp_basis_dm(dt=dm_dt*86400) dm_prior = gpk.se_dm_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell) elif nondiag_kernel == 'sq_exp_rfband': @@ -344,7 +346,7 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', log10_ell2 = parameter.Uniform(2, 7) log10_alpha_wgt = parameter.Uniform(-4, 1) - dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=15*86400, + dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=dm_dt*86400, dm=True) dm_prior = gpk.sf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, @@ -354,7 +356,7 @@ def dm_noise_block(gp_kernel='diag', psd='powerlaw', nondiag_kernel='periodic', # DMX-like signal log10_sigma = parameter.Uniform(-10, -4) - dm_basis = gpk.linear_interp_basis_dm(dt=30*86400) + dm_basis = gpk.linear_interp_basis_dm(dt=dm_dt*86400) dm_prior = gpk.dmx_ridge_prior(log10_sigma=log10_sigma) dmgp = gp_signals.BasisGP(dm_prior, dm_basis, name='dm_gp', @@ -368,7 +370,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', prior='log-uniform', idx=4, include_quadratic=False, Tspan=None, name='chrom', components=30, - coefficients=False): + chrom_dt=15, coefficients=False): """ Returns GP chromatic noise model : @@ -395,6 +397,8 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', Tspan from which to calculate frequencies for PSD-based GPs. :param components: Number of frequencies to use in 'diag' GPs. + :param chrom_dt: + Step size for linear_interpolation_basis in units of days. :param coefficients: Whether to keep coefficients of the GP. @@ -433,7 +437,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_p = parameter.Uniform(-4, 1) log10_gam_p = parameter.Uniform(-3, 2) - chm_basis = gpk.linear_interp_basis_chromatic(dt=15*86400) + chm_basis = gpk.linear_interp_basis_chromatic(dt=chrom_dt*86400) chm_prior = gpk.periodic_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, log10_gam_p=log10_gam_p, @@ -448,7 +452,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_p = parameter.Uniform(-4, 1) log10_gam_p = parameter.Uniform(-3, 2) - chm_basis = gpk.get_tf_quantization_matrix(df=200, dt=15*86400, + chm_basis = gpk.get_tf_quantization_matrix(df=200, dt=chrom_dt*86400, dm=True, idx=idx) chm_prior = gpk.tf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, @@ -462,7 +466,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_sigma = parameter.Uniform(-10, -4) log10_ell = parameter.Uniform(1, 4) - chm_basis = gpk.linear_interp_basis_chromatic(dt=15*86400, idx=idx) + chm_basis = gpk.linear_interp_basis_chromatic(dt=chrom_dt*86400, idx=idx) chm_prior = gpk.se_dm_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell) elif nondiag_kernel == 'sq_exp_rfband': @@ -472,7 +476,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_ell2 = parameter.Uniform(2, 7) log10_alpha_wgt = parameter.Uniform(-4, 1) - dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=15*86400, + dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=chrom_dt*86400, dm=True, idx=idx) dm_prior = gpk.sf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 19abea21..a27a3644 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -34,11 +34,11 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, white_vary=True, components=30, upper_limit=False, wideband=False, gamma_val=None, dm_var=False, dm_type='gp', dmgp_kernel='diag', dm_psd='powerlaw', - dm_nondiag_kernel='periodic', dmx_data=None, - dm_annual=False, gamma_dm_val=None, chrom_gp=False, - chrom_gp_kernel='nondiag', + dm_nondiag_kernel='periodic', dm_dt=15, + dmx_data=None, dm_annual=False, gamma_dm_val=None, + chrom_gp=False, chrom_gp_kernel='nondiag', chrom_psd='powerlaw', chrom_idx=4, - chrom_kernel='periodic', + chrom_kernel='periodic', chrom_dt=15, dm_expdip=False, dmexp_sign='negative', dm_expdip_idx=2, dm_expdip_tmin=None, dm_expdip_tmax=None, @@ -76,6 +76,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, :param dmgp_kernel: diagonal in frequency or non-diagonal :param dm_psd: power-spectral density of DM variations :param dm_nondiag_kernel: type of time-domain DM GP kernel + :param dm_dt: linear_interp_basis size in units of days :param dmx_data: supply the DMX data from par files :param dm_annual: include an annual DM signal :param gamma_dm_val: spectral index of power-law DM variations @@ -86,6 +87,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, :param chrom_idx: frequency scaling of chromatic noise :param chrom_kernel: Type of 'nondiag' time-domain chrom GP kernel to use ['periodic', 'sq_exp','periodic_rfband', 'sq_exp_rfband'] + :param chrom_dt: linear_interp_basis size in units of days :param dm_expdip: inclue a DM exponential dip :param dmexp_sign: set the sign parameter for dip :param dm_expdip_idx: chromatic index of exponential dip @@ -156,7 +158,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, elif dmgp_kernel == 'nondiag': s += dm_noise_block(gp_kernel=dmgp_kernel, nondiag_kernel=dm_nondiag_kernel, - coefficients=coefficients) + coefficients=coefficients, dm_dt=dm_dt) elif dm_type == 'dmx': s += chrom.dmx_signal(dmx_data=dmx_data[psr.name]) if dm_annual: @@ -164,9 +166,10 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, if chrom_gp: s += chromatic_noise_block(gp_kernel=chrom_gp_kernel, psd=chrom_psd, idx=chrom_idx, - components=components, + components=components, nondiag_kernel=chrom_kernel, - coefficients=coefficients) + coefficients=coefficients + chrom_dt=chrom_dt) if dm_expdip: if dm_expdip_tmin is None and dm_expdip_tmax is None: From 0018aae4f6098281c84a1a2b3e33b60a3df2f0ce Mon Sep 17 00:00:00 2001 From: Joseph Simon Date: Tue, 23 Jun 2020 23:14:25 -0500 Subject: [PATCH 019/137] Fixed syntax --- enterprise_extensions/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index a27a3644..f262536e 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -168,7 +168,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, psd=chrom_psd, idx=chrom_idx, components=components, nondiag_kernel=chrom_kernel, - coefficients=coefficients + coefficients=coefficients, chrom_dt=chrom_dt) if dm_expdip: From fc4055721d1cdeed8a8e874900bf3b25caa5345b Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 18 Aug 2020 17:29:33 -0700 Subject: [PATCH 020/137] Update binned sw model. --- enterprise_extensions/chromatic/solar_wind.py | 20 +++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 931f28b9..6044d8ed 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -72,14 +72,18 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, for ii, bin in enumerate(edges[:-1]): bin_mask = np.logical_and(toas >= bin, toas <= edges[ii + 1]) - earth = planetssb[bin_mask, 2, :3] - sun = sunssb[bin_mask,:3] - earthsun = earth - sun - R_earth = np.sqrt(np.einsum('ij,ij->i', earthsun, earthsun)) - Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, - pos_t[bin_mask]) - theta = np.arccos(-Re_cos_theta_impact / R_earth) - dm_sol_wind = dm_solar(n_earth[ii], theta, R_earth) + # earth = planetssb[bin_mask, 2, :3] + # sun = sunssb[bin_mask,:3] + # earthsun = earth - sun + # R_earth = np.sqrt(np.einsum('ij,ij->i', earthsun, earthsun)) + # Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, + # pos_t[bin_mask]) + # theta = np.arccos(-Re_cos_theta_impact / R_earth) + theta, R_earth, _, _ = theta_impact(planetssb, + sunssb, + pos_t) + dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], + R_earth[bin_mask]) if dm_sol_wind.size != 0: dt_DM.extend((dm_sol_wind) From ef10544cc09005bc97274d8129d17694c88ebc51 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 18 Aug 2020 20:48:38 -0700 Subject: [PATCH 021/137] Update binned sw model 2. --- enterprise_extensions/chromatic/solar_wind.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 6044d8ed..6de9f4ba 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -82,11 +82,11 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) - dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], - R_earth[bin_mask]) + dm_sol_wind = dm_solar(n_earth[ii], theta, + R_earth) if dm_sol_wind.size != 0: - dt_DM.extend((dm_sol_wind) + dt_DM.extend((dm_sol_wind[bin_mask]) * 4.148808e3 / freqs[bin_mask]**2) else: pass From ea6c1733e19216cf42a55884cb0dbc32995d8ac9 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 18 Aug 2020 21:45:27 -0700 Subject: [PATCH 022/137] Update binned sw model 3. --- enterprise_extensions/chromatic/solar_wind.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 6de9f4ba..6044d8ed 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -82,11 +82,11 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) - dm_sol_wind = dm_solar(n_earth[ii], theta, - R_earth) + dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], + R_earth[bin_mask]) if dm_sol_wind.size != 0: - dt_DM.extend((dm_sol_wind[bin_mask]) + dt_DM.extend((dm_sol_wind) * 4.148808e3 / freqs[bin_mask]**2) else: pass From f94a09c151c278ed5aeffcbd9fb23df39a75f880 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 18 Aug 2020 22:10:10 -0700 Subject: [PATCH 023/137] Update binned sw model 4. --- enterprise_extensions/chromatic/solar_wind.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 6044d8ed..eb04430d 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -63,11 +63,11 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, edges = n_earth_bins dt_DM = [] - if hasattr(n_earth, 'sample'): - # Sample if enterprise parameter object, else pass array - n_earth = n_earth().sample() - else: - pass + # if hasattr(n_earth, 'sample'): + # # Sample if enterprise parameter object, else pass array + # n_earth = n_earth().sample() + # else: + # pass for ii, bin in enumerate(edges[:-1]): @@ -92,6 +92,8 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, pass dt_DM = np.array(dt_DM) + if dt_DM.size!=toas.size: + raise ValueError('dt_DM does not match number of TOAs!!!') return dt_DM From 263b88bb6e20932831739d387d2343458d31d5cb Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 18 Aug 2020 22:41:45 -0700 Subject: [PATCH 024/137] Update binned sw model 5. --- enterprise_extensions/chromatic/solar_wind.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index eb04430d..c0b32330 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -93,7 +93,9 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, dt_DM = np.array(dt_DM) if dt_DM.size!=toas.size: - raise ValueError('dt_DM does not match number of TOAs!!!') + err_msg = 'dt_DM ({0}) does not '.format(dt_DM.size) + err_msg +='match number of TOAs ({0})!!!'.format(toas.size) + raise ValueError(err_msg) return dt_DM From b0b45a74d1f86029a7cb97e443c78d53cccc6e05 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 19 Aug 2020 10:27:47 -0700 Subject: [PATCH 025/137] Update binned sw model 6. --- enterprise_extensions/chromatic/solar_wind.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index c0b32330..98b9ef41 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -84,7 +84,7 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, pos_t) dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], R_earth[bin_mask]) - + print(n_earth[ii],R_earth[bin_mask], dm_sol_wind.size, np.sum(bin_mask)) if dm_sol_wind.size != 0: dt_DM.extend((dm_sol_wind) * 4.148808e3 / freqs[bin_mask]**2) From bd21519c962c08f54f1c1470bf583959840352d9 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 19 Aug 2020 10:45:01 -0700 Subject: [PATCH 026/137] Update binned sw model 7. --- enterprise_extensions/chromatic/solar_wind.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 98b9ef41..0c0c8d47 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -84,7 +84,7 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, pos_t) dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], R_earth[bin_mask]) - print(n_earth[ii],R_earth[bin_mask], dm_sol_wind.size, np.sum(bin_mask)) + print(n_earth[ii], R_earth[bin_mask].size, dm_sol_wind.size, np.sum(bin_mask)) if dm_sol_wind.size != 0: dt_DM.extend((dm_sol_wind) * 4.148808e3 / freqs[bin_mask]**2) From 4795dc5778758acaa975143f6f4d5a9679e818e4 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 19 Aug 2020 10:48:23 -0700 Subject: [PATCH 027/137] Update binned sw model 8. --- enterprise_extensions/chromatic/solar_wind.py | 1 + 1 file changed, 1 insertion(+) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index 0c0c8d47..de638ab0 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -72,6 +72,7 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, for ii, bin in enumerate(edges[:-1]): bin_mask = np.logical_and(toas >= bin, toas <= edges[ii + 1]) + print('Min,Max,bin_low,bin_high ',toas.min(),toas.max(),bin, edges[ii + 1]) # earth = planetssb[bin_mask, 2, :3] # sun = sunssb[bin_mask,:3] # earthsun = earth - sun From 8f53b109794e61386f188f6485c92f4d3456fd2b Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Thu, 20 Aug 2020 11:28:49 -0700 Subject: [PATCH 028/137] Update binned sw model 9. --- enterprise_extensions/chromatic/solar_wind.py | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/enterprise_extensions/chromatic/solar_wind.py b/enterprise_extensions/chromatic/solar_wind.py index de638ab0..7cd37c70 100644 --- a/enterprise_extensions/chromatic/solar_wind.py +++ b/enterprise_extensions/chromatic/solar_wind.py @@ -63,29 +63,15 @@ def solar_wind(toas, freqs, planetssb, sunssb, pos_t, edges = n_earth_bins dt_DM = [] - # if hasattr(n_earth, 'sample'): - # # Sample if enterprise parameter object, else pass array - # n_earth = n_earth().sample() - # else: - # pass for ii, bin in enumerate(edges[:-1]): bin_mask = np.logical_and(toas >= bin, toas <= edges[ii + 1]) - print('Min,Max,bin_low,bin_high ',toas.min(),toas.max(),bin, edges[ii + 1]) - # earth = planetssb[bin_mask, 2, :3] - # sun = sunssb[bin_mask,:3] - # earthsun = earth - sun - # R_earth = np.sqrt(np.einsum('ij,ij->i', earthsun, earthsun)) - # Re_cos_theta_impact = np.einsum('ij,ij->i', earthsun, - # pos_t[bin_mask]) - # theta = np.arccos(-Re_cos_theta_impact / R_earth) theta, R_earth, _, _ = theta_impact(planetssb, sunssb, pos_t) dm_sol_wind = dm_solar(n_earth[ii], theta[bin_mask], R_earth[bin_mask]) - print(n_earth[ii], R_earth[bin_mask].size, dm_sol_wind.size, np.sum(bin_mask)) if dm_sol_wind.size != 0: dt_DM.extend((dm_sol_wind) * 4.148808e3 / freqs[bin_mask]**2) From ae995cda4321ed7dd77641e8699333a4050a5694 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 1 Sep 2020 12:19:25 -0700 Subject: [PATCH 029/137] Added combine flag to red noise blocks --- enterprise_extensions/blocks.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 8b6e55a9..528d038d 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -102,7 +102,7 @@ def white_noise_block(vary=False, inc_ecorr=False, gp_ecorr=False, def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, components=30, gamma_val=None, coefficients=False, - select=None, modes=None, wgts=None, + select=None, modes=None, wgts=None, combine=True, break_flat=False, break_flat_fq=None, dropout=False, k_threshold=0.5): """ @@ -203,24 +203,26 @@ def red_noise_block(psd='powerlaw', prior='log-uniform', Tspan=None, rn = gp_signals.FourierBasisGP(pl, components=components_low, Tspan=Tspan, coefficients=coefficients, - selection=selection) + combine=combine, selection=selection) rn_flat = gp_signals.FourierBasisGP(pl_flat, modes=freqs[components_low:], coefficients=coefficients, selection=selection, + combine=combine, name='red_noise_hf') rn = rn + rn_flat else: rn = gp_signals.FourierBasisGP(pl, components=components, Tspan=Tspan, + combine=combine, coefficients=coefficients, selection=selection, modes=modes) if select == 'band+': # Add the common component as well rn = rn + gp_signals.FourierBasisGP(pl, components=components, - Tspan=Tspan, + Tspan=Tspan, combine=combine, coefficients=coefficients) return rn @@ -496,7 +498,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', return cgp -def common_red_noise_block(psd='powerlaw', prior='log-uniform', +def common_red_noise_block(psd='powerlaw', prior='log-uniform',combine=True, Tspan=None, components=30, gamma_val=None, orf=None, name='gw', coefficients=False, pshift=False, pseed=None): @@ -590,17 +592,18 @@ def common_red_noise_block(psd='powerlaw', prior='log-uniform', if orf is None: crn = gp_signals.FourierBasisGP(cpl, coefficients=coefficients, components=components, Tspan=Tspan, + combine=combine, name=name, pshift=pshift, pseed=pseed) elif orf in orfs.keys(): crn = gp_signals.FourierBasisCommonGP(cpl, orfs[orf], components=components, - Tspan=Tspan, + Tspan=Tspan, combine=combine, name=name, pshift=pshift, pseed=pseed) elif isinstance(orf, types.FunctionType): crn = gp_signals.FourierBasisCommonGP(cpl, orf, components=components, - Tspan=Tspan, + Tspan=Tspan, combine=combine, name=name, pshift=pshift, pseed=pseed) else: From b576fc79266889f0833703198b7b3208527bf686 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 1 Sep 2020 13:14:29 -0700 Subject: [PATCH 030/137] set zero to 1e-40 --- enterprise_extensions/dropout.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/dropout.py b/enterprise_extensions/dropout.py index 28a19394..b30d3de3 100644 --- a/enterprise_extensions/dropout.py +++ b/enterprise_extensions/dropout.py @@ -21,7 +21,7 @@ def dropout_powerlaw(f, log10_A=-16, gamma=5, k_drop=0.5, k_threshold=0.5): df = np.diff(np.concatenate((np.array([0]), f[::2]))) if k_drop >= k_threshold: k_switch = 1.0 - elif k_drop < k_threshold: k_switch = 0.0 + elif k_drop < k_threshold: k_switch = 1e-40#0.0 return k_switch * ((10**log10_A)**2 / 12.0 / np.pi**2 * const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) From b056a3958e57c4d8cbcf418765916b979f7cdf2a Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 30 Oct 2020 13:16:06 -0700 Subject: [PATCH 031/137] Added model 4a --- enterprise_extensions/models.py | 131 +++++++++++++++++++++++++++++++- 1 file changed, 129 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 7d360f2a..afca3d35 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -35,7 +35,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, wideband=False, gamma_val=None, dm_var=False, dm_type='gp', dmgp_kernel='diag', dm_psd='powerlaw', dm_nondiag_kernel='periodic', dm_dt=15, - dmx_data=None, dm_annual=False, gamma_dm_val=None, + dmx_data=None, dm_annual=False, gamma_dm_val=None, chrom_gp=False, chrom_gp_kernel='nondiag', chrom_psd='powerlaw', chrom_idx=4, chrom_kernel='periodic', chrom_dt=15, @@ -166,7 +166,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, if chrom_gp: s += chromatic_noise_block(gp_kernel=chrom_gp_kernel, psd=chrom_psd, idx=chrom_idx, - components=components, + components=components, nondiag_kernel=chrom_kernel, coefficients=coefficients, chrom_dt=chrom_dt) @@ -1792,3 +1792,130 @@ def model_cw(psrs, upper_limit=False, pta.set_default_params(noisedict) return pta + + +def model_4a(psrs, psd_gw='powerlaw', psd_crn='powerlaw', noisedict=None, + components=30, + n_rnfreqs = None, n_gwbfreqs=None, n_crnfreqs=None, + gamma_common=None, + delta_common=None, upper_limit=False, bayesephem=False, + be_type='setIII', wideband=False, correlationsonly=False, + rn_psrs='all', pshift=False, pseed=None, psr_models=False): + """ + Reads in list of enterprise Pulsar instance and returns a PTA + instantiated with model 3A from the analysis paper: + + per pulsar: + 1. fixed EFAC per backend/receiver system + 2. fixed EQUAD per backend/receiver system + 3. fixed ECORR per backend/receiver system + 4. Red noise modeled as a power-law with 30 sampling frequencies + 5. Linear timing model. + + global: + 1. GWB with HD correlations modeled with user defined PSD with + 30 sampling frequencies. Available PSDs are + ['powerlaw', 'turnover' 'spectrum'] + 2. Optional physical ephemeris modeling. + + :param psd: + PSD to use for common red noise signal. Available options + are ['powerlaw', 'turnover' 'spectrum'] 'powerlaw' is default + value. + :param gamma_common: + Fixed common red process spectral index value. By default we + vary the spectral index over the range [0, 7]. + :param gamma_common: + Fixed common red process spectral index value for higher frequencies in + broken power law model. + By default we vary the spectral index over the range [0, 7]. + :param upper_limit: + Perform upper limit on common red noise amplitude. By default + this is set to False. Note that when perfoming upper limits it + is recommended that the spectral index also be fixed to a specific + value. + :param bayesephem: + Include BayesEphem model. Set to False by default + :param be_type: + orbel, orbel-v2, setIII + :param correlationsonly: + Give infinite power (well, 1e40) to pulsar red noise, effectively + canceling out also GW diagonal terms + :param pshift: + Option to use a random phase shift in design matrix. For testing the + null hypothesis. + :param pseed: + Option to provide a seed for the random phase shift. + :param psr_models: + Return list of psr models rather than signal_base.PTA object. + """ + + amp_prior = 'uniform' if upper_limit else 'log-uniform' + + # find the maximum time span to set GW frequency sampling + Tspan = model_utils.get_tspan(psrs) + + if n_gwbfreqs is None: + n_gwbfreqs = components + + if n_crnfreqs is None: + n_crnfreqs = components + + if n_rnfreqs is None: + n_rnfreqs = components + + # common red noise block + s = common_red_noise_block(psd=psd_gw, prior=amp_prior, Tspan=Tspan, + components=n_gwbfreqs, gamma_val=gamma_common, + delta_val=delta_common, + orf='hd', name='gw', pshift=pshift, pseed=pseed) + + s += common_red_noise_block(psd=psd_crn, prior=amp_prior, Tspan=Tspan, + components=n_crnfreqs, + orf=None, name='crn', pshift=pshift, pseed=pseed) + # intrinsic red noise + rn = red_noise_block(psd='infinitepower' if correlationsonly else 'powerlaw', + prior=amp_prior, + Tspan=Tspan, components=n_rnfreqs) + if isinstance(rn_psrs, str) and rn_psrs=='all': + s += rn + + # ephemeris model + if bayesephem: + s += deterministic_signals.PhysicalEphemerisSignal(use_epoch_toas=True, model=be_type) + + # timing model + s += gp_signals.TimingModel() + + # adding white-noise, and acting on psr objects + models = [] + for p in psrs: + if isinstance(rn_psrs, list): + if p.name in rn_psrs: + ss = s + rn + else: + ss = s + else: + ss = s + + if 'NANOGrav' in p.flags['pta'] and not wideband: + s2 = ss + white_noise_block(vary=False, inc_ecorr=True) + models.append(s2(p)) + else: + s3 = ss + white_noise_block(vary=False, inc_ecorr=False) + models.append(s3(p)) + + if psr_models: + return models + else: + # set up PTA + pta = signal_base.PTA(models) + + # set white noise parameters + if noisedict is None: + print('No noise dictionary provided!...') + else: + noisedict = noisedict + pta.set_default_params(noisedict) + + return pta From 169dba4b288a9d12735fc9ba697ac98455aaac32 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 15 Dec 2020 12:51:27 -0800 Subject: [PATCH 032/137] fixed typo with rn in model general --- enterprise_extensions/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index afca3d35..29b50ecc 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -558,7 +558,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, wgts = wgts**2.0 # red noise - rn += red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, + rn = red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, components=red_components, modes=modes, wgts=wgts, coefficients=coefficients, select=red_select, break_flat=red_breakflat, From 3d9ec7faebb82aa71cfd8015dce7db7b205f068f Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 15 Dec 2020 12:54:38 -0800 Subject: [PATCH 033/137] fixed typo with ss in model general --- enterprise_extensions/models.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 29b50ecc..8e81b645 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -611,6 +611,8 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, ss = s + rn else: ss = s + else: + ss = s if 'NANOGrav' in p.flags['pta'] and not wideband: s2 = ss + white_noise_block(vary=white_vary, inc_ecorr=True) if gequad: From 44aeacc1c3a8289e66b2f76953fecb71073b010a Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Sun, 17 Jan 2021 21:28:39 -0800 Subject: [PATCH 034/137] fix typ in chromatic blk --- enterprise_extensions/blocks.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index c322b5b7..ca8f5619 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -478,9 +478,9 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_ell2 = parameter.Uniform(2, 7) log10_alpha_wgt = parameter.Uniform(-4, 1) - dm_basis = gpk.get_tf_quantization_matrix(df=200, dt=chrom_dt*86400, + chm_basis = gpk.get_tf_quantization_matrix(df=200, dt=chrom_dt*86400, dm=True, idx=idx) - dm_prior = gpk.sf_kernel(log10_sigma=log10_sigma, + chm_prior = gpk.sf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, log10_alpha_wgt=log10_alpha_wgt, log10_ell2=log10_ell2) From fe162d530fb22be4a625f12ec3924d5ef11b4a60 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Sun, 17 Jan 2021 21:46:14 -0800 Subject: [PATCH 035/137] fix typ in chromatic blk --- enterprise_extensions/blocks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index ca8f5619..47763b82 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -479,7 +479,7 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', log10_alpha_wgt = parameter.Uniform(-4, 1) chm_basis = gpk.get_tf_quantization_matrix(df=200, dt=chrom_dt*86400, - dm=True, idx=idx) + dm=True, dm_idx=idx) chm_prior = gpk.sf_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell, log10_alpha_wgt=log10_alpha_wgt, From b6fb100857570ebbd44e26aca3a5f253ce3ebff0 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Thu, 18 Feb 2021 10:23:34 -0800 Subject: [PATCH 036/137] adding broken powerlaw to model_general --- enterprise_extensions/blocks.py | 4 ++-- enterprise_extensions/models.py | 8 +++++--- 2 files changed, 7 insertions(+), 5 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 47763b82..58e2afdb 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -499,8 +499,8 @@ def chromatic_noise_block(gp_kernel='nondiag', psd='powerlaw', def common_red_noise_block(psd='powerlaw', prior='log-uniform',combine=True, - Tspan=None, components=30, gamma_val=None, - delta_val=None, + Tspan=None, components=30, + gamma_val=None, delta_val=None, orf=None, name='gw', coefficients=False, pshift=False, pseed=None): """ diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 8e81b645..5bdb5ea4 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -468,7 +468,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, dm_var=False, dm_type='gp', dm_psd='powerlaw', dm_annual=False, white_vary=False, gequad=False, dm_chrom=False, - dmchrom_psd='powerlaw', dmchrom_idx=4, + dmchrom_psd='powerlaw', dmchrom_idx=4, delta_common=None, red_select=None, red_breakflat=False, red_breakflat_fq=None, coefficients=False, pshift=False): """ @@ -572,13 +572,15 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, Tspan=Tspan, components=common_components, coefficients=coefficients, pshift=pshift, - gamma_val=gamma_common, name='gw') + gamma_val=gamma_common, delta_common=None, + name='gw') elif orf == 'hd': s += common_red_noise_block(psd=common_psd, prior=amp_prior_common, Tspan=Tspan, components=common_components, coefficients=coefficients, - gamma_val=gamma_common, orf='hd', + gamma_val=gamma_common, delta_common=None, + orf='hd', name='gw') # DM variations From 1a61f516e5ef3ae19ee2190ecf27aaaf64e43841 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 19 Feb 2021 23:41:16 -0800 Subject: [PATCH 037/137] fix delta_common flag --- enterprise_extensions/models.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 5bdb5ea4..43198acc 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -572,14 +572,14 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, Tspan=Tspan, components=common_components, coefficients=coefficients, pshift=pshift, - gamma_val=gamma_common, delta_common=None, + gamma_val=gamma_common, delta_val=delta_common, name='gw') elif orf == 'hd': s += common_red_noise_block(psd=common_psd, prior=amp_prior_common, Tspan=Tspan, components=common_components, coefficients=coefficients, - gamma_val=gamma_common, delta_common=None, + gamma_val=gamma_common, delta_val=delta_common, orf='hd', name='gw') From 146f0d699a8fd3b6935fd9f72a81153ab68be543 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 22 Feb 2021 19:51:48 -0800 Subject: [PATCH 038/137] more conflict resolution --- enterprise_extensions/dropout.py | 9 +-- enterprise_extensions/models.py | 122 +++---------------------------- 2 files changed, 16 insertions(+), 115 deletions(-) diff --git a/enterprise_extensions/dropout.py b/enterprise_extensions/dropout.py index 44d80ac0..57124f65 100644 --- a/enterprise_extensions/dropout.py +++ b/enterprise_extensions/dropout.py @@ -22,14 +22,13 @@ def dropout_powerlaw(f, name, log10_A=-16, gamma=5, df = np.diff(np.concatenate((np.array([0]), f[::2]))) - if k_drop >= k_threshold: k_switch = 1.0 - elif k_drop < k_threshold: k_switch = 1e-40#0.0 - + if k_drop >= k_threshold: + k_switch = 1.0 + elif k_drop < k_threshold: + k_switch = 1e-40#0.0 return k_switch * ((10**log10_A)**2 / 12.0 / np.pi**2 * const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) - else: - return ((10**log10_A)**2 / 12.0 / np.pi**2 * const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 504e58ff..75e556c0 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -92,11 +92,8 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, :param chrom_idx: frequency scaling of chromatic noise :param chrom_kernel: Type of 'nondiag' time-domain chrom GP kernel to use ['periodic', 'sq_exp','periodic_rfband', 'sq_exp_rfband'] -<<<<<<< HEAD :param chrom_dt: linear_interp_basis size in units of days -======= :param chrom_quad: Whether to add a quadratic chromatic term. Boolean ->>>>>>> master :param dm_expdip: inclue a DM exponential dip :param dmexp_sign: set the sign parameter for dip :param dm_expdip_idx: chromatic index of exponential dip @@ -222,13 +219,9 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, psd=chrom_psd, idx=chrom_idx, components=components, nondiag_kernel=chrom_kernel, -<<<<<<< HEAD coefficients=coefficients, - chrom_dt=chrom_dt) -======= - include_quadratic=chrom_quad, - coefficients=coefficients) ->>>>>>> master + chrom_dt=chrom_dt, + include_quadratic=chrom_quad) if dm_expdip: if dm_expdip_tmin is None and dm_expdip_tmax is None: @@ -305,14 +298,8 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, if extra_sigs is not None: s += extra_sigs # adding white-noise, and acting on psr objects -<<<<<<< HEAD - if ('NANOGrav' in psr.flags['pta'] or 'CHIME' in psr.flags['f']) and not wideband: + if ('NANOGrav' in psr.flags['pta'] or 'CHIME' in psr.flags['f']) and not is_wideband: s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True) -======= - if 'NANOGrav' in psr.flags['pta'] and not is_wideband: - s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True, - select=select) ->>>>>>> master model = s2(psr) else: s3 = s + white_noise_block(vary=white_vary, inc_ecorr=False, @@ -441,13 +428,9 @@ def model_1(psrs, psd='powerlaw', noisedict=None, white_vary=False, def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, n_rnfreqs = None, n_gwbfreqs=None, gamma_common=None, delta_common=None, upper_limit=False, bayesephem=False, -<<<<<<< HEAD - be_type='setIII', wideband=False, select='backend', rn_psrs='all', -======= - be_type='orbel', white_vary=False, is_wideband=False, - use_dmdata=False, select='backend', ->>>>>>> master - pshift=False, pseed=None, psr_models=False): + be_type='setIII', select='backend', rn_psrs='all', + white_vary=False, is_wideband=False, + use_dmdata=False, pshift=False, pseed=None, psr_models=False): """ Reads in list of enterprise Pulsar instance and returns a PTA instantiated with model 2A from the analysis paper: @@ -553,7 +536,6 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, # adding white-noise, and acting on psr objects models = [] for p in psrs: -<<<<<<< HEAD if isinstance(rn_psrs, list): if p.name in rn_psrs: ss = s + rn @@ -561,22 +543,13 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, ss = s else: ss = s - if 'NANOGrav' in p.flags['pta'] and not wideband: + if 'NANOGrav' in p.flags['pta'] and not is_wideband: s2 = ss + white_noise_block(vary=False, inc_ecorr=True, select=select) models.append(s2(p)) else: s3 = ss + white_noise_block(vary=False, inc_ecorr=False, select=select) -======= - if 'NANOGrav' in p.flags['pta'] and not is_wideband: - s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True, - select=select) - models.append(s2(p)) - else: - s3 = s + white_noise_block(vary=white_vary, inc_ecorr=False, - select=select) ->>>>>>> master models.append(s3(p)) # set up PTA @@ -599,32 +572,17 @@ def model_2a(psrs, psd='powerlaw', noisedict=None, components=30, def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, -<<<<<<< HEAD - Tspan=None, common_psd='powerlaw', red_psd='powerlaw', orf=None, - common_components=30, red_components=30, dm_components=30, - modes=None, wgts=None, logfreq=False, nmodes_log=10, - noisedict=None, rn_psrs='all', - tm_svd=False, tm_norm=True, gamma_common=None, - upper_limit=False, upper_limit_red=None, upper_limit_dm=None, - upper_limit_common=None, - bayesephem=False, be_type='orbel', wideband=False, - dm_var=False, dm_type='gp', dm_psd='powerlaw', - dm_annual=False, - white_vary=False, gequad=False, dm_chrom=False, - dmchrom_psd='powerlaw', dmchrom_idx=4, delta_common=None, -======= tm_svd=False, tm_norm=True, noisedict=None, white_vary=False, Tspan=None, modes=None, wgts=None, logfreq=False, nmodes_log=10, common_psd='powerlaw', common_components=30, gamma_common=None, orf='crn', upper_limit_common=None, upper_limit=False, red_var=True, red_psd='powerlaw', red_components=30, upper_limit_red=None, ->>>>>>> master red_select=None, red_breakflat=False, red_breakflat_fq=None, bayesephem=False, be_type='setIII_1980', is_wideband=False, use_dmdata=False, dm_var=False, dm_type='gp', dm_psd='powerlaw', dm_components=30, upper_limit_dm=None, dm_annual=False, dm_chrom=False, dmchrom_psd='powerlaw', dmchrom_idx=4, gequad=False, coefficients=False, pshift=False, - select='backend'): + rn_psrs='all', delta_common=None, select='backend'): """ Reads in list of enterprise Pulsar instances and returns a PTA object instantiated with user-supplied options. @@ -799,32 +757,6 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, wgts = wgts**2.0 # red noise -<<<<<<< HEAD - rn = red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, - components=red_components, modes=modes, wgts=wgts, - coefficients=coefficients, - select=red_select, break_flat=red_breakflat, - break_flat_fq=red_breakflat_fq) - if isinstance(rn_psrs, str) and rn_psrs=='all': - s += rn - - # common red noise block - if orf is None: - s += common_red_noise_block(psd=common_psd, prior=amp_prior_common, - Tspan=Tspan, - components=common_components, - coefficients=coefficients, pshift=pshift, - gamma_val=gamma_common, delta_val=delta_common, - name='gw') - elif orf == 'hd': - s += common_red_noise_block(psd=common_psd, prior=amp_prior_common, - Tspan=Tspan, - components=common_components, - coefficients=coefficients, - gamma_val=gamma_common, delta_val=delta_common, - orf='hd', - name='gw') -======= if red_var: s += red_noise_block(psd=red_psd, prior=amp_prior_red, Tspan=Tspan, components=red_components, modes=modes, wgts=wgts, @@ -841,7 +773,6 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, coefficients=coefficients, pshift=pshift, pseed=None)) crn = functools.reduce((lambda x,y:x+y), crn) s += crn ->>>>>>> master # DM variations if dm_var: @@ -867,7 +798,6 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, models = [] for p in psrs: -<<<<<<< HEAD # The if/else statements either add achromatic RN to all psrs or # a list of pulsars if isinstance(rn_psrs, list): @@ -877,13 +807,8 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, ss = s else: ss = s - if 'NANOGrav' in p.flags['pta'] and not wideband: - s2 = ss + white_noise_block(vary=white_vary, inc_ecorr=True) -======= if 'NANOGrav' in p.flags['pta'] and not is_wideband: - s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True, - select=select) ->>>>>>> master + s2 = ss + white_noise_block(vary=white_vary, inc_ecorr=True) if gequad: s2 += white_signals.EquadNoise(log10_equad=parameter.Uniform(-8.5, -5), selection=selections.Selection(selections.no_selection), @@ -897,12 +822,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, else: models.append(s2(p)) else: -<<<<<<< HEAD s4 = ss + white_noise_block(vary=white_vary, inc_ecorr=False) -======= - s4 = s + white_noise_block(vary=white_vary, inc_ecorr=False, - select=select) ->>>>>>> master if gequad: s4 += white_signals.EquadNoise(log10_equad=parameter.Uniform(-8.5, -5), selection=selections.Selection(selections.no_selection), @@ -1277,21 +1197,13 @@ def model_2d(psrs, psd='powerlaw', noisedict=None, white_vary=False, return pta -<<<<<<< HEAD -def model_3a(psrs, psd='powerlaw', noisedict=None, components=30, - n_rnfreqs = None, n_gwbfreqs=None, gamma_common=None, - delta_common=None, upper_limit=False, bayesephem=False, - be_type='setIII', wideband=False, correlationsonly=False, - rn_psrs='all', pshift=False, pseed=None, psr_models=False): -======= def model_3a(psrs, psd='powerlaw', noisedict=None, white_vary=False, components=30, n_rnfreqs = None, n_gwbfreqs=None, gamma_common=None, delta_common=None, upper_limit=False, - bayesephem=False, be_type='orbel', is_wideband=False, - use_dmdata=False, select='backend', + bayesephem=False, be_type='setIII', is_wideband=False, + use_dmdata=False, select='backend', rn_psrs='all', correlationsonly=False, pshift=False, pseed=None, psr_models=False): ->>>>>>> master """ Reads in list of enterprise Pulsar instance and returns a PTA instantiated with model 3A from the analysis paper: @@ -1403,7 +1315,6 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, white_vary=False, # adding white-noise, and acting on psr objects models = [] for p in psrs: -<<<<<<< HEAD if isinstance(rn_psrs, list): if p.name in rn_psrs: ss = s + rn @@ -1412,20 +1323,11 @@ def model_3a(psrs, psd='powerlaw', noisedict=None, white_vary=False, else: ss = s - if 'NANOGrav' in p.flags['pta'] and not wideband: + if 'NANOGrav' in p.flags['pta'] and not is_wideband: s2 = ss + white_noise_block(vary=False, inc_ecorr=True) models.append(s2(p)) else: s3 = ss + white_noise_block(vary=False, inc_ecorr=False) -======= - if 'NANOGrav' in p.flags['pta'] and not is_wideband: - s2 = s + white_noise_block(vary=white_vary, inc_ecorr=True, - select=select) - models.append(s2(p)) - else: - s3 = s + white_noise_block(vary=white_vary, inc_ecorr=False, - select=select) ->>>>>>> master models.append(s3(p)) if psr_models: From a957753fde93f9fd637bcc80fff62a70e21b028a Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 23 Feb 2021 11:24:33 -0800 Subject: [PATCH 039/137] fix merge conflict common_red --- enterprise_extensions/blocks.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 7ea079dd..7de086a9 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -613,18 +613,22 @@ def common_red_noise_block(psd='powerlaw', prior='log-uniform',combine=True, if orf is None: crn = gp_signals.FourierBasisGP(cpl, coefficients=coefficients, components=components, Tspan=Tspan, - combine=combine, name=name, pshift=pshift, pseed=pseed) elif orf in orfs.keys(): - crn = gp_signals.FourierBasisCommonGP(cpl, orfs[orf], - components=components, - Tspan=Tspan, combine=combine, - name=name, pshift=pshift, - pseed=pseed) + if orf == 'crn': + crn = gp_signals.FourierBasisGP(cpl, coefficients=coefficients, + components=components, Tspan=Tspan, + name=name, pshift=pshift, pseed=pseed) + else: + crn = gp_signals.FourierBasisCommonGP(cpl, orfs[orf], + components=components, + Tspan=Tspan, + name=name, pshift=pshift, + pseed=pseed) elif isinstance(orf, types.FunctionType): crn = gp_signals.FourierBasisCommonGP(cpl, orf, components=components, - Tspan=Tspan, combine=combine, + Tspan=Tspan, name=name, pshift=pshift, pseed=pseed) else: From d96fc261f98d963e920a6e5bffc4e11657b8b734 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 23 Feb 2021 20:05:44 -0800 Subject: [PATCH 040/137] add gw_crn to sampler flags --- enterprise_extensions/sampler.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 7a8fd7f2..0c716978 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -596,9 +596,9 @@ def fe_jump(self, x, iter, beta): q = x.copy() lqxy = 0 - + fe_limit = np.max(self.fe) - + #draw skylocation and frequency from f-stat map accepted = False while accepted==False: @@ -618,31 +618,31 @@ def fe_jump(self, x, iter, beta): psi = self.params[self.pimap['psi']].sample() phase0 = self.params[self.pimap['phase0']].sample() log10_h = self.params[self.pimap['log10_h']].sample() - + #put new parameters into q signal_name = 'cw' for param_name, new_param in zip(['log10_fgw','gwphi','cos_gwtheta','cos_inc','psi','phase0','log10_h'], [log_f_new, gw_phi, np.cos(gw_theta), cos_inc, psi, phase0, log10_h]): q[self.pimap[param_name]] = new_param - + #calculate Hastings ratio log_f_old = x[self.pimap['log10_fgw']] f_idx_old = (np.abs(np.log10(self.fe_freqs) - log_f_old)).argmin() - + gw_theta_old = np.arccos(x[self.pimap['cos_gwtheta']]) gw_phi_old = x[self.pimap['gwphi']] hp_idx_old = hp.ang2pix(hp.get_nside(self.fe), gw_theta_old, gw_phi_old) - + fe_old_point = self.fe[f_idx_old, hp_idx_old] if fe_old_point>fe_limit: fe_old_point = fe_limit - + log10_h_old = x[self.pimap['log10_h']] phase0_old = x[self.pimap['phase0']] psi_old = x[self.pimap['psi']] cos_inc_old = x[self.pimap['cos_inc']] - + hastings_extra_factor = self.params[self.pimap['log10_h']].get_pdf(log10_h_old) hastings_extra_factor *= 1/self.params[self.pimap['log10_h']].get_pdf(log10_h) hastings_extra_factor = self.params[self.pimap['phase0']].get_pdf(phase0_old) @@ -650,8 +650,8 @@ def fe_jump(self, x, iter, beta): hastings_extra_factor = self.params[self.pimap['psi']].get_pdf(psi_old) hastings_extra_factor *= 1/self.params[self.pimap['psi']].get_pdf(psi) hastings_extra_factor = self.params[self.pimap['cos_inc']].get_pdf(cos_inc_old) - hastings_extra_factor *= 1/self.params[self.pimap['cos_inc']].get_pdf(cos_inc) - + hastings_extra_factor *= 1/self.params[self.pimap['cos_inc']].get_pdf(cos_inc) + lqxy = np.log(fe_old_point/fe_new_point * hastings_extra_factor) return q, float(lqxy) @@ -803,7 +803,7 @@ def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): sampler.addProposalToCycle(jp.draw_from_ephem_prior, 10) # GWB uniform distribution draw - if 'gw_log10_A' in pta.param_names: + if 'gw_log10_A' in pta.param_names or 'gw_crn_log10_A' in pta.param_names: print('Adding GWB uniform distribution draws...\n') sampler.addProposalToCycle(jp.draw_from_gwb_log_uniform_distribution, 10) From 98a897feb4a87debc18688aeedf712c0b466383f Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 24 Feb 2021 08:58:53 -0800 Subject: [PATCH 041/137] fix sampler issue --- enterprise_extensions/sampler.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 0c716978..bfdc4e88 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -272,8 +272,12 @@ def draw_from_gwb_log_uniform_distribution(self, x, iter, beta): lqxy = 0 # draw parameter from signal model - idx = self.pnames.index('gw_log10_A') - q[idx] = np.random.uniform(-18, -11) + try: + idx = self.pnames.index('gw_log10_A') + except ValueError: + idx = self.pnames.index('gw_crn_log10_A') + + q[idx] = np.random.uniform(-18, -14) return q, 0 From 0aa98d7036eae551e32fc7b4f87d982dd816b53d Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 24 Feb 2021 11:13:38 -0800 Subject: [PATCH 042/137] fixed broken power law --- enterprise_extensions/models.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 75e556c0..e8f6382e 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -769,7 +769,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, for elem in orf.split(','): crn.append(common_red_noise_block(psd=common_psd, prior=amp_prior_common, Tspan=Tspan, components=common_components, gamma_val=gamma_common, - delta_val=None, orf=elem, name='gw_{}'.format(elem), + delta_val=delta_common, orf=elem, name='gw_{}'.format(elem), coefficients=coefficients, pshift=pshift, pseed=None)) crn = functools.reduce((lambda x,y:x+y), crn) s += crn From 69cb3bea2e9d753ccabc8482b94610de5f2b4e4c Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Thu, 25 Feb 2021 10:34:00 -0800 Subject: [PATCH 043/137] make fbend prior based on Tspan --- enterprise_extensions/blocks.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/enterprise_extensions/blocks.py b/enterprise_extensions/blocks.py index 7de086a9..79ccaabd 100644 --- a/enterprise_extensions/blocks.py +++ b/enterprise_extensions/blocks.py @@ -569,7 +569,12 @@ def common_red_noise_block(psd='powerlaw', prior='log-uniform',combine=True, kappa_name = '{}_kappa'.format(name) log10_fb_name = '{}_log10_fb'.format(name) kappa_gw = parameter.Uniform(0.01, 0.5)(kappa_name) - log10_fb_gw = parameter.Uniform(-10, -7)(log10_fb_name) + if Tspan is not None: + low_freq = np.log10(1/Tspan) + high_freq = np.log10(components/Tspan) + else: + low_freq, high_freq = -10, -7 + log10_fb_gw = parameter.Uniform(low_freq, high_freq)(log10_fb_name) if delta_val is not None: delta_gw = parameter.Constant(delta_val)(delta_name) From 641c53cdcab995bc7c554546d52fb431f238d079 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 17 Mar 2021 10:05:40 -0700 Subject: [PATCH 044/137] added general linear interpolant basis --- enterprise_extensions/gp_kernels.py | 32 +++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) diff --git a/enterprise_extensions/gp_kernels.py b/enterprise_extensions/gp_kernels.py index b6780eaa..838b6de0 100644 --- a/enterprise_extensions/gp_kernels.py +++ b/enterprise_extensions/gp_kernels.py @@ -30,6 +30,38 @@ def linear_interp_basis_dm(toas, freqs, dt=30*86400): return U * Dm[:, None], avetoas +@signal_base.function +def linear_interp_basis_general(toas, toa_min=None, toa_max=None, dt=30 * 86400): + """Provides a basis for linear interpolation. + + :param toas: Pulsar TOAs in seconds + :param toa_min: Minimum TOA to be considered. + :param toa_max: Maximum TOA to be considered. + :param dt: Linear interpolation step size in seconds. + + :returns: Linear interpolation basis and nodes + """ + if toa_min is None: + toa_min= toas.min() + + if toa_max is None: + toa_max= toas.max() + + # evenly spaced points + x = np.arange(toa_min, toa_max + dt, dt) + M = np.zeros((len(toas), len(x))) + + # make linear interpolation basis + for ii in range(len(x) - 1): + idx = np.logical_and(toas >= x[ii], toas <= x[ii + 1]) + M[idx, ii] = (toas[idx] - x[ii + 1]) / (x[ii] - x[ii + 1]) + M[idx, ii + 1] = (toas[idx] - x[ii]) / (x[ii + 1] - x[ii]) + + # only return non-zero columns + idx = M.sum(axis=0) != 0 + + return M[:, idx], x[idx] + # linear interpolation basis in time with nu^-4 scaling @signal_base.function def linear_interp_basis_chromatic(toas, freqs, dt=30*86400, idx=4): From a0c622de993b2eb177c2cbbe693e8c06b686ddf3 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 17 Mar 2021 10:08:13 -0700 Subject: [PATCH 045/137] further tweaks to general linear inter --- enterprise_extensions/gp_kernels.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/gp_kernels.py b/enterprise_extensions/gp_kernels.py index 838b6de0..8bd24a08 100644 --- a/enterprise_extensions/gp_kernels.py +++ b/enterprise_extensions/gp_kernels.py @@ -31,7 +31,7 @@ def linear_interp_basis_dm(toas, freqs, dt=30*86400): return U * Dm[:, None], avetoas @signal_base.function -def linear_interp_basis_general(toas, toa_min=None, toa_max=None, dt=30 * 86400): +def linear_interp_basis_general(toas, toa_min=None, toa_max=None, dt=14 * 86400): """Provides a basis for linear interpolation. :param toas: Pulsar TOAs in seconds @@ -46,7 +46,7 @@ def linear_interp_basis_general(toas, toa_min=None, toa_max=None, dt=30 * 86400) if toa_max is None: toa_max= toas.max() - + # evenly spaced points x = np.arange(toa_min, toa_max + dt, dt) M = np.zeros((len(toas), len(x))) From fb91ddbc25d487893f645d3b179246fbfb0da763 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Sat, 20 Mar 2021 08:02:29 -0700 Subject: [PATCH 046/137] change names in model_general --- enterprise_extensions/models.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index a4ed2385..5a7dbe03 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -590,7 +590,7 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, dm_var=False, dm_type='gp', dm_psd='powerlaw', dm_components=30, upper_limit_dm=None, dm_annual=False, dm_chrom=False, dmchrom_psd='powerlaw', dmchrom_idx=4, gequad=False, coefficients=False, pshift=False, - rn_psrs='all', delta_common=None, select='backend'): + rn_psrs='all', delta_common=None, select='backend', names=None): """ Reads in list of enterprise Pulsar instances and returns a PTA object instantiated with user-supplied options. @@ -693,6 +693,8 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, :param coefficients: boolean to form full hierarchical PTA object; (no analytic latent-coefficient marginalization) [default = False] + :param names: list of names of signals, if desired different than default. + [default=None] :param pshift: boolean to add random phase shift to red noise Fourier design matrices for false alarm rate studies. [default = False] @@ -774,10 +776,13 @@ def model_general(psrs, tm_var=False, tm_linear=False, tmparam_list=None, # common red noise block crn = [] - for elem in orf.split(','): + if names is None: + names = ['gw_{}'.format(elem) for elem in orf.split(',')] + + for nm, elem in zip(names,orf.split(',')): crn.append(common_red_noise_block(psd=common_psd, prior=amp_prior_common, Tspan=Tspan, components=common_components, gamma_val=gamma_common, - delta_val=delta_common, orf=elem, name='gw_{}'.format(elem), + delta_val=delta_common, orf=elem, name=nm, coefficients=coefficients, pshift=pshift, pseed=None)) crn = functools.reduce((lambda x,y:x+y), crn) s += crn From 2ac93f6d8da3dad4c8e71e23d4e2876b9b2d7b8e Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 30 Mar 2021 22:00:46 -0700 Subject: [PATCH 047/137] added white noise dropout models --- enterprise_extensions/dropout.py | 92 ++++++++++++++++++++++++++++++++ 1 file changed, 92 insertions(+) diff --git a/enterprise_extensions/dropout.py b/enterprise_extensions/dropout.py index 57124f65..992dfed9 100644 --- a/enterprise_extensions/dropout.py +++ b/enterprise_extensions/dropout.py @@ -9,6 +9,10 @@ from enterprise.signals import deterministic_signals from enterprise.signals import utils from enterprise import constants as const +from enterprise.signals import white_signals +from enterprise.signals import selections +from enterprise.signals.selections import Selection +from enterprise.signals.gp_signals import BasisGP @signal_base.function @@ -177,3 +181,91 @@ def get_delay(self, params): return delay return Dropout_PhysicalEphemerisSignal + +#### White Noise ##### + +@signal_base.function +def dp_efac_ndiag(toaerrs, efac=1.0, efac_drop=0.5, efac_thresh=0.5): + if efac_drop >= efac_thresh: + return efac ** 2 * toaerrs ** 2 + elif efac_drop < efac_thresh: + return toaerrs ** 2 + + +def dropout_MeasurementNoise(efac=parameter.Uniform(0.5, 1.5), + efac_drop=parameter.Uniform(0, 1), efac_thresh=0.5, + selection=Selection(selections.no_selection), name=""): + """Class factory for EFAC type measurement noise.""" + + varianceFunction = dp_efac_ndiag(efac=efac, + efac_drop=efac_drop, + efac_thresh=efac_thresh) + BaseClass = white_signals.WhiteNoise(varianceFunction, selection=selection, name=name) + + class dropout_MeasurementNoise(BaseClass): + signal_name = "efac" + signal_id = "efac_" + name if name else "efac" + + return dropout_MeasurementNoise + + +@signal_base.function +def dp_equad_ndiag(toas, log10_equad=-8, equad_drop=0.5, equad_thresh=0.5): + if equad_drop >= equad_thresh: + return np.ones_like(toas) * 10 ** (2 * log10_equad) + elif equad_drop < equad_thresh: + return np.zeros_like(toas) + + +def dropout_EquadNoise(log10_equad=parameter.Uniform(-10, -5), + equad_drop=parameter.Uniform(0, 1), equad_thresh=0.5, + selection=Selection(selections.no_selection), + name=""): + """Class factory for EQUAD type measurement noise.""" + + varianceFunction = dp_equad_ndiag(log10_equad=log10_equad, + equad_drop=equad_drop, + equad_thresh=equad_thresh) + BaseClass = white_signals.WhiteNoise(varianceFunction, + selection=selection, + name=name) + + class dropout_EquadNoise(BaseClass): + signal_name = "equad" + signal_id = "equad_" + name if name else "equad" + + return dropout_EquadNoise + +@signal_base.function +def dp_ecorr_basis_prior(weights, log10_ecorr=-8, equad_drop=0.5, equad_thresh=0.5): + """Returns the ecorr prior. + :param weights: A vector or weights for the ecorr prior. + """ + if equad_drop >= equad_thresh: + return weights * 10 ** (2 * log10_ecorr) + elif equad_drop < equad_thresh: + return weights * 1e-30 + + +def dropout_EcorrBasisModel( + log10_ecorr=parameter.Uniform(-10, -5), + equad_drop=parameter.Uniform(0, 1), equad_thresh=0.5, + coefficients=False, + selection=Selection(selections.no_selection), + name="basis_ecorr", +): + """Convenience function to return a BasisGP class with a + quantized ECORR basis.""" + + basis = utils.create_quantization_matrix() + prior = dp_ecorr_basis_prior(log10_ecorr=log10_ecorr, + equad_drop=equad_drop, + equad_thresh=equad_thresh) + BaseClass = BasisGP(prior, basis, coefficients=coefficients, selection=selection, name=name) + + class dropout_EcorrBasisModel(BaseClass): + signal_type = "basis" + signal_name = "basis ecorr" + signal_id = name + + return dropout_EcorrBasisModel From c3e29fbdcd48a756d7e4784ad00f0a6c9ee2ba71 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 31 Mar 2021 10:03:10 -0700 Subject: [PATCH 048/137] fixed variables --- enterprise_extensions/dropout.py | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/enterprise_extensions/dropout.py b/enterprise_extensions/dropout.py index 992dfed9..0c87ace9 100644 --- a/enterprise_extensions/dropout.py +++ b/enterprise_extensions/dropout.py @@ -30,11 +30,10 @@ def dropout_powerlaw(f, name, log10_A=-16, gamma=5, k_switch = 1.0 elif k_drop < k_threshold: k_switch = 1e-40#0.0 - return k_switch * ((10**log10_A)**2 / 12.0 / np.pi**2 * + + return k_switch * ((10**log10_A)**2 / 12.0 / np.pi**2 * const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) - else: - return ((10**log10_A)**2 / 12.0 / np.pi**2 * - const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) + @signal_base.function def dropout_physical_ephem_delay(toas, planetssb, pos_t, frame_drift_rate=0, @@ -237,19 +236,19 @@ class dropout_EquadNoise(BaseClass): return dropout_EquadNoise @signal_base.function -def dp_ecorr_basis_prior(weights, log10_ecorr=-8, equad_drop=0.5, equad_thresh=0.5): +def dp_ecorr_basis_prior(weights, log10_ecorr=-8, ecorr_drop=0.5, ecorr_thresh=0.5): """Returns the ecorr prior. :param weights: A vector or weights for the ecorr prior. """ - if equad_drop >= equad_thresh: + if ecorr_drop >= ecorr_thresh: return weights * 10 ** (2 * log10_ecorr) - elif equad_drop < equad_thresh: + elif ecorr_drop < ecorr_thresh: return weights * 1e-30 def dropout_EcorrBasisModel( log10_ecorr=parameter.Uniform(-10, -5), - equad_drop=parameter.Uniform(0, 1), equad_thresh=0.5, + ecorr_drop=parameter.Uniform(0, 1), ecorr_thresh=0.5, coefficients=False, selection=Selection(selections.no_selection), name="basis_ecorr", @@ -259,8 +258,8 @@ def dropout_EcorrBasisModel( basis = utils.create_quantization_matrix() prior = dp_ecorr_basis_prior(log10_ecorr=log10_ecorr, - equad_drop=equad_drop, - equad_thresh=equad_thresh) + ecorr_drop=ecorr_drop, + ecorr_thresh=ecorr_thresh) BaseClass = BasisGP(prior, basis, coefficients=coefficients, selection=selection, name=name) class dropout_EcorrBasisModel(BaseClass): From 2a24d1aabfa206ed895cf54b01e1e2fa3fa517b7 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 14 May 2021 12:09:09 -0700 Subject: [PATCH 049/137] add cov.npy load in --- enterprise_extensions/sampler.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index bfdc4e88..b8a96315 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -748,7 +748,10 @@ def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): ndim = len(params) # initial jump covariance matrix - cov = np.diag(np.ones(ndim) * 0.1**2) + if os.path.exists(outdir+'/cov.npy'): + cov = np.load(outdir+'/cov.npy') + else: + cov = np.diag(np.ones(ndim) * 0.1**2) # parameter groupings groups = get_parameter_groups(pta) From e6a7861e0429fc1809e4ac2253b3de96023246b1 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Thu, 1 Jul 2021 19:28:41 -0700 Subject: [PATCH 050/137] small tweaks to cusp model --- enterprise_extensions/models.py | 2 +- enterprise_extensions/sampler.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/models.py b/enterprise_extensions/models.py index 5a7dbe03..d5e6b93a 100644 --- a/enterprise_extensions/models.py +++ b/enterprise_extensions/models.py @@ -271,7 +271,7 @@ def model_singlepsr_noise(psr, tm_var=False, tm_linear=False, for dd in range(1,num_dm_cusps+1): s += chrom.dm_exponential_cusp(tmin=tmin[dd-1], tmax=tmax[dd-1], - idx=dm_cusp_idx, + idx=dm_cusp_idx[dd-1], sign=dm_cusp_sign[dd-1], symmetric=dm_cusp_sym, name=cusp_name_base+str(dd)) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index b8a96315..b1da0c8d 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -772,7 +772,7 @@ def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): # try adding empirical proposals if empirical_distr is not None: print('Adding empirical proposals...\n') - sampler.addProposalToCycle(jp.draw_from_empirical_distr, 10) + sampler.addProposalToCycle(jp.draw_from_empirical_distr, 50) # Red noise prior draw if 'red noise' in jp.snames: From 4559f2cdee398897dfb1b4c5ea0e0714424579ec Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 6 Aug 2021 14:53:00 -0700 Subject: [PATCH 051/137] starting to add new emp dist jump prop --- enterprise_extensions/sampler.py | 36 ++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index b1da0c8d..52563d65 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -81,6 +81,7 @@ def __init__(self, pta, snames=None, empirical_distr=None, f_stat_file=None): else: self.empirical_distr = None + self.pulsars = pta.pulsars #F-statistic map if f_stat_file is not None and os.path.isfile(f_stat_file): npzfile = np.load(f_stat_file) @@ -169,6 +170,41 @@ def draw_from_empirical_distr(self, x, iter, beta): return q, float(lqxy) + # def draw_from_psr_empirical_distr(self, x, iter, beta): + # + # q = x.copy() + # lqxy = 0 + # + # if self.empirical_distr is not None: + # + # # make list of empirical distributions with psr name + # psr = np.random.choice(self.pulsars) + # pnames = [ed.param_name if ed.ndim==1 else ed.param_names + # for ed in self.empirical_distr ] + # + # + # if self.empirical_distr[distr_idx].ndim == 1: + # + # idx = self.pnames.index(self.empirical_distr[distr_idx].param_name) + # q[idx] = self.empirical_distr[distr_idx].draw() + # + # lqxy = (self.empirical_distr[distr_idx].logprob(x[idx]) - + # self.empirical_distr[distr_idx].logprob(q[idx])) + # + # else: + # + # oldsample = [x[self.pnames.index(p)] + # for p in self.empirical_distr[distr_idx].param_names] + # newsample = self.empirical_distr[distr_idx].draw() + # + # for p,n in zip(self.empirical_distr[distr_idx].param_names, newsample): + # q[self.pnames.index(p)] = n + # + # lqxy = (self.empirical_distr[distr_idx].logprob(oldsample) - + # self.empirical_distr[distr_idx].logprob(newsample)) + # + # return q, float(lqxy) + def draw_from_dm_gp_prior(self, x, iter, beta): q = x.copy() From c506719ac8398c75ed8a726fdcae6b62993a1ac3 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Mon, 9 Aug 2021 10:10:50 -0700 Subject: [PATCH 052/137] playing with new jump proposal --- enterprise_extensions/sampler.py | 37 ++++++++++++++++++++------------ 1 file changed, 23 insertions(+), 14 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 52563d65..1631cd6a 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -182,26 +182,35 @@ def draw_from_empirical_distr(self, x, iter, beta): # pnames = [ed.param_name if ed.ndim==1 else ed.param_names # for ed in self.empirical_distr ] # + # # Retrieve indices of emp dists with pulsar pars. + # idxs = [] + # for par in pnames: + # if isinstance(par,str): + # if psr in par: + # idxs.append(pnames.index(par)) + # elif isinstance(par,list): + # if any([psr in p for p in par]): + # idxs.append(pnames.index(par)) # - # if self.empirical_distr[distr_idx].ndim == 1: + # for idx in idxs: + # if self.empirical_distr[idx].ndim == 1: + # pidx = self.pnames.index(self.empirical_distr[distr_idx].param_name) + # q[pidx] = self.empirical_distr[pidx].draw() # - # idx = self.pnames.index(self.empirical_distr[distr_idx].param_name) - # q[idx] = self.empirical_distr[distr_idx].draw() + # lqxy = (self.empirical_distr[idx].logprob(x[pidx]) - + # self.empirical_distr[idx].logprob(q[pidx])) # - # lqxy = (self.empirical_distr[distr_idx].logprob(x[idx]) - - # self.empirical_distr[distr_idx].logprob(q[idx])) + # else: # - # else: + # oldsample = [x[self.pnames.index(p)] + # for p in self.empirical_distr[idx].param_names] + # newsample = self.empirical_distr[idx].draw() # - # oldsample = [x[self.pnames.index(p)] - # for p in self.empirical_distr[distr_idx].param_names] - # newsample = self.empirical_distr[distr_idx].draw() + # for p,n in zip(self.empirical_distr[idx].param_names, newsample): + # q[self.pnames.index(p)] = n # - # for p,n in zip(self.empirical_distr[distr_idx].param_names, newsample): - # q[self.pnames.index(p)] = n - # - # lqxy = (self.empirical_distr[distr_idx].logprob(oldsample) - - # self.empirical_distr[distr_idx].logprob(newsample)) + # lqxy = (self.empirical_distr[idx].logprob(oldsample) - + # self.empirical_distr[idx].logprob(newsample)) # # return q, float(lqxy) From d1095f661d03f871c9f1a40e2510b992345e41e9 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 10 Aug 2021 13:38:20 -0700 Subject: [PATCH 053/137] small work on jp --- enterprise_extensions/sampler.py | 86 ++++++++++++++++---------------- 1 file changed, 43 insertions(+), 43 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 1631cd6a..51bbd6b7 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -170,49 +170,49 @@ def draw_from_empirical_distr(self, x, iter, beta): return q, float(lqxy) - # def draw_from_psr_empirical_distr(self, x, iter, beta): - # - # q = x.copy() - # lqxy = 0 - # - # if self.empirical_distr is not None: - # - # # make list of empirical distributions with psr name - # psr = np.random.choice(self.pulsars) - # pnames = [ed.param_name if ed.ndim==1 else ed.param_names - # for ed in self.empirical_distr ] - # - # # Retrieve indices of emp dists with pulsar pars. - # idxs = [] - # for par in pnames: - # if isinstance(par,str): - # if psr in par: - # idxs.append(pnames.index(par)) - # elif isinstance(par,list): - # if any([psr in p for p in par]): - # idxs.append(pnames.index(par)) - # - # for idx in idxs: - # if self.empirical_distr[idx].ndim == 1: - # pidx = self.pnames.index(self.empirical_distr[distr_idx].param_name) - # q[pidx] = self.empirical_distr[pidx].draw() - # - # lqxy = (self.empirical_distr[idx].logprob(x[pidx]) - - # self.empirical_distr[idx].logprob(q[pidx])) - # - # else: - # - # oldsample = [x[self.pnames.index(p)] - # for p in self.empirical_distr[idx].param_names] - # newsample = self.empirical_distr[idx].draw() - # - # for p,n in zip(self.empirical_distr[idx].param_names, newsample): - # q[self.pnames.index(p)] = n - # - # lqxy = (self.empirical_distr[idx].logprob(oldsample) - - # self.empirical_distr[idx].logprob(newsample)) - # - # return q, float(lqxy) + def draw_from_psr_empirical_distr(self, x, iter, beta): + + q = x.copy() + lqxy = 0 + + if self.empirical_distr is not None: + + # make list of empirical distributions with psr name + psr = np.random.choice(self.pulsars) + pnames = [ed.param_name if ed.ndim==1 else ed.param_names + for ed in self.empirical_distr ] + + # Retrieve indices of emp dists with pulsar pars. + idxs = [] + for par in pnames: + if isinstance(par,str): + if psr in par: + idxs.append(pnames.index(par)) + elif isinstance(par,list): + if any([psr in p for p in par]): + idxs.append(pnames.index(par)) + + for idx in idxs: + if self.empirical_distr[idx].ndim == 1: + pidx = self.pnames.index(self.empirical_distr[distr_idx].param_name) + q[pidx] = self.empirical_distr[pidx].draw() + + lqxy = (self.empirical_distr[idx].logprob(x[pidx]) - + self.empirical_distr[idx].logprob(q[pidx])) + + else: + + oldsample = [x[self.pnames.index(p)] + for p in self.empirical_distr[idx].param_names] + newsample = self.empirical_distr[idx].draw() + + for p,n in zip(self.empirical_distr[idx].param_names, newsample): + q[self.pnames.index(p)] = n + + lqxy = (self.empirical_distr[idx].logprob(oldsample) - + self.empirical_distr[idx].logprob(newsample)) + + return q, float(lqxy) def draw_from_dm_gp_prior(self, x, iter, beta): From 815209327036ab7d13a812f45b3d2bd4155472bf Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 18 Aug 2021 20:41:49 -0700 Subject: [PATCH 054/137] adding pulsar based jump props --- enterprise_extensions/sampler.py | 47 ++++++++++++++++++++++++++------ 1 file changed, 38 insertions(+), 9 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 51bbd6b7..cb3ffa8e 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -16,6 +16,7 @@ def __init__(self, pta, snames=None, empirical_distr=None, f_stat_file=None): """Set up some custom jump proposals""" self.params = pta.params self.pnames = pta.param_names + self.psrnames = pta.pulsars self.ndim = sum(p.size or 1 for p in pta.params) self.plist = [p.name for p in pta.params] @@ -81,7 +82,6 @@ def __init__(self, pta, snames=None, empirical_distr=None, f_stat_file=None): else: self.empirical_distr = None - self.pulsars = pta.pulsars #F-statistic map if f_stat_file is not None and os.path.isfile(f_stat_file): npzfile = np.load(f_stat_file) @@ -178,7 +178,7 @@ def draw_from_psr_empirical_distr(self, x, iter, beta): if self.empirical_distr is not None: # make list of empirical distributions with psr name - psr = np.random.choice(self.pulsars) + psr = np.random.choice(self.psrnames) pnames = [ed.param_name if ed.ndim==1 else ed.param_names for ed in self.empirical_distr ] @@ -194,11 +194,11 @@ def draw_from_psr_empirical_distr(self, x, iter, beta): for idx in idxs: if self.empirical_distr[idx].ndim == 1: - pidx = self.pnames.index(self.empirical_distr[distr_idx].param_name) + pidx = self.pnames.index(self.empirical_distr[idx].param_name) q[pidx] = self.empirical_distr[pidx].draw() - lqxy = (self.empirical_distr[idx].logprob(x[pidx]) - - self.empirical_distr[idx].logprob(q[pidx])) + lqxy += (self.empirical_distr[idx].logprob(x[pidx]) - + self.empirical_distr[idx].logprob(q[pidx])) else: @@ -209,8 +209,8 @@ def draw_from_psr_empirical_distr(self, x, iter, beta): for p,n in zip(self.empirical_distr[idx].param_names, newsample): q[self.pnames.index(p)] = n - lqxy = (self.empirical_distr[idx].logprob(oldsample) - - self.empirical_distr[idx].logprob(newsample)) + lqxy += (self.empirical_distr[idx].logprob(oldsample) - + self.empirical_distr[idx].logprob(newsample)) return q, float(lqxy) @@ -594,6 +594,26 @@ def draw(x, iter, beta): draw.__name__ = 'draw_from_{}_log_uniform'.format(name_string) return draw + def draw_from_psr_prior(self, x, iter, beta): + + q = x.copy() + lqxy = 0 + + # draw parameter from pulsar names + psr = np.random.choice(self.psrnames) + idxs = [self.pimap[par] for par in self.pnames if psr in par] + params = np.array(self.params)[idxs] + for idx in idxs: + q[idx] = self.params[idx].sample() + + # forward-backward jump probability + first = np.sum([self.params[idx].get_logpdf(x[idx]]) for idx in idxs]) + last = np.sum([self.params[idx].get_logpdf(q[idx]]) for idx in idxs]) + + lqxy = first - last + + return q, float(lqxy) + def draw_from_signal(self, signal_names): # Preparing and comparing signal_names with PTA signals signal_names = np.atleast_1d(signal_names) @@ -742,6 +762,13 @@ def get_parameter_groups(pta): return groups +def get_psr_groups(pta): + groups = [] + for psr in pta.pulsars: + grp = [pta.param_names.index(par) + for par in pta.param_names if psr in par] + groups.append(grp) + return groups def get_cw_groups(pta): """Utility function to get parameter groups for CW sampling. @@ -768,7 +795,7 @@ def group_from_params(pta, params): return gr -def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): +def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None, groups=None): """ Sets up an instance of PTMCMC sampler. @@ -799,7 +826,8 @@ def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): cov = np.diag(np.ones(ndim) * 0.1**2) # parameter groupings - groups = get_parameter_groups(pta) + if groups is None: + groups = get_parameter_groups(pta) sampler = ptmcmc(ndim, pta.get_lnlikelihood, pta.get_lnprior, cov, groups=groups, outDir=outdir, resume=resume) @@ -810,6 +838,7 @@ def setup_sampler(pta, outdir='chains', resume=False, empirical_distr=None): # additional jump proposals jp = JumpProposal(pta, empirical_distr=empirical_distr) + sampler.jp = jp # always add draw from prior sampler.addProposalToCycle(jp.draw_from_prior, 5) From ea2213464b2c2a38fd7178305dc272aaa59c2ff1 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 18 Aug 2021 21:04:08 -0700 Subject: [PATCH 055/137] adding pulsar based jump props 2 --- enterprise_extensions/sampler.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index cb3ffa8e..49661caf 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -607,8 +607,8 @@ def draw_from_psr_prior(self, x, iter, beta): q[idx] = self.params[idx].sample() # forward-backward jump probability - first = np.sum([self.params[idx].get_logpdf(x[idx]]) for idx in idxs]) - last = np.sum([self.params[idx].get_logpdf(q[idx]]) for idx in idxs]) + first = np.sum([self.params[idx].get_logpdf(x[idx]) for idx in idxs]) + last = np.sum([self.params[idx].get_logpdf(q[idx]) for idx in idxs]) lqxy = first - last From e951d08be573727484139e96b669a16bbefb23ad Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 18 Aug 2021 21:54:23 -0700 Subject: [PATCH 056/137] fix psr emp dist jp --- enterprise_extensions/sampler.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 49661caf..4a237223 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -194,14 +194,13 @@ def draw_from_psr_empirical_distr(self, x, iter, beta): for idx in idxs: if self.empirical_distr[idx].ndim == 1: - pidx = self.pnames.index(self.empirical_distr[idx].param_name) - q[pidx] = self.empirical_distr[pidx].draw() + pidx = self.pimap(self.empirical_distr[idx].param_name) + q[pidx] = self.empirical_distr[idx].draw() lqxy += (self.empirical_distr[idx].logprob(x[pidx]) - self.empirical_distr[idx].logprob(q[pidx])) else: - oldsample = [x[self.pnames.index(p)] for p in self.empirical_distr[idx].param_names] newsample = self.empirical_distr[idx].draw() From 595f5b90aeabdcb94a33bb8775d17805d052593e Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Wed, 18 Aug 2021 22:37:46 -0700 Subject: [PATCH 057/137] fix psr emp dist jp 2 --- enterprise_extensions/sampler.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index 4a237223..f9c0e401 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -194,7 +194,7 @@ def draw_from_psr_empirical_distr(self, x, iter, beta): for idx in idxs: if self.empirical_distr[idx].ndim == 1: - pidx = self.pimap(self.empirical_distr[idx].param_name) + pidx = self.pimap[self.empirical_distr[idx].param_name] q[pidx] = self.empirical_distr[idx].draw() lqxy += (self.empirical_distr[idx].logprob(x[pidx]) - From 7bfc1d3c010555ceb6ce9e38b0a31bc3d0a9b6d0 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Thu, 19 Aug 2021 16:54:10 -0700 Subject: [PATCH 058/137] adding new chromatic gp JP --- enterprise_extensions/hypermodel.py | 12 +++++++++--- enterprise_extensions/sampler.py | 23 +++++++++++++++++++++++ 2 files changed, 32 insertions(+), 3 deletions(-) diff --git a/enterprise_extensions/hypermodel.py b/enterprise_extensions/hypermodel.py index 5d55aa9e..1856fc4d 100644 --- a/enterprise_extensions/hypermodel.py +++ b/enterprise_extensions/hypermodel.py @@ -194,6 +194,7 @@ def setup_sampler(self, outdir='chains', resume=False, sample_nmodel=True, # additional jump proposals jp = JumpProposal(self, self.snames, empirical_distr=empirical_distr) + sampler.jp = jp # always add draw from prior sampler.addProposalToCycle(jp.draw_from_prior, 5) @@ -233,6 +234,11 @@ def setup_sampler(self, outdir='chains', resume=False, sample_nmodel=True, print('Adding DMX prior draws...\n') sampler.addProposalToCycle(jp.draw_from_dmx_prior, 10) + # Chromatic GP noise prior draw + if 'chrom_gp' in self.snames: + print('Adding Chromatic GP noise prior draws...\n') + sampler.addProposalToCycle(jp.draw_from_chrom_gp_prior, 10) + # SW prior draw if 'gp_sw' in jp.snames: print('Adding Solar Wind DM GP prior draws...\n') @@ -272,10 +278,10 @@ def setup_sampler(self, outdir='chains', resume=False, sample_nmodel=True, if any([str(p).split(':')[0] for p in list(self.params) if 'gw' in str(p)]): print('Adding gw param prior draws...\n') sampler.addProposalToCycle(jp.draw_from_par_prior( - par_names=[str(p).split(':')[0] for - p in list(self.params) + par_names=[str(p).split(':')[0] for + p in list(self.params) if 'gw' in str(p)]), 10) - + # Model index distribution draw if sample_nmodel: if 'nmodel' in self.param_names: diff --git a/enterprise_extensions/sampler.py b/enterprise_extensions/sampler.py index f9c0e401..b8b090ae 100644 --- a/enterprise_extensions/sampler.py +++ b/enterprise_extensions/sampler.py @@ -310,6 +310,29 @@ def draw_from_dmx_prior(self, x, iter, beta): return q, float(lqxy) + def draw_from_chrom_gp_prior(self, x, iter, beta): + + q = x.copy() + lqxy = 0 + + signal_name = 'chrom_gp' + + # draw parameter from signal model + param = np.random.choice(self.snames[signal_name]) + if param.size: + idx2 = np.random.randint(0, param.size) + q[self.pmap[str(param)]][idx2] = param.sample()[idx2] + + # scalar parameter + else: + q[self.pmap[str(param)]] = param.sample() + + # forward-backward jump probability + lqxy = (param.get_logpdf(x[self.pmap[str(param)]]) - + param.get_logpdf(q[self.pmap[str(param)]])) + + return q, float(lqxy) + def draw_from_gwb_log_uniform_distribution(self, x, iter, beta): q = x.copy() From f188ba23f5c84294a354ed4767cef33af2fc8add Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Fri, 5 Nov 2021 11:21:56 -0700 Subject: [PATCH 059/137] revert to standard dropout_rn --- enterprise_extensions/dropout.py | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/enterprise_extensions/dropout.py b/enterprise_extensions/dropout.py index 167baadd..e1379888 100644 --- a/enterprise_extensions/dropout.py +++ b/enterprise_extensions/dropout.py @@ -26,16 +26,6 @@ def dropout_powerlaw(f, name, log10_A=-16, gamma=5, df = np.diff(np.concatenate((np.array([0]), f[::2]))) -<<<<<<< HEAD - if k_drop >= k_threshold: - k_switch = 1.0 - elif k_drop < k_threshold: - k_switch = 1e-40#0.0 - - return k_switch * ((10**log10_A)**2 / 12.0 / np.pi**2 * - const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) - -======= if name == dropout_psr: if k_drop >= k_threshold: @@ -50,7 +40,6 @@ def dropout_powerlaw(f, name, log10_A=-16, gamma=5, return ((10**log10_A)**2 / 12.0 / np.pi**2 * const.fyr**(gamma-3) * f**(-gamma) * np.repeat(df, 2)) ->>>>>>> master @signal_base.function From 8a2784ed874a39995c3ba6c55a2eae53c2d0387c Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 1 Feb 2022 14:33:41 -0800 Subject: [PATCH 060/137] up the coverage --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 214e6f31..810ce598 100644 --- a/Makefile +++ b/Makefile @@ -59,7 +59,7 @@ clean-test: ## remove test and coverage artifacts rm -fr htmlcov/ rm -rf coverage.xml -COV_COVERAGE_PERCENT ?= 5 +COV_COVERAGE_PERCENT ?= 30 test: #lint ## run tests quickly with the default Python pytest -v --durations=10 --full-trace --cov-report html --cov-report xml \ --cov-config .coveragerc --cov-fail-under=$(COV_COVERAGE_PERCENT) \ From a3f44e86b0a98d363fd596aa1033699dcdb31b88 Mon Sep 17 00:00:00 2001 From: Hazboun6 Date: Tue, 1 Feb 2022 14:34:25 -0800 Subject: [PATCH 061/137] adding pulsars with sunssb attr --- .../J0613-0200_ng11yr_nodmx_DE436_epsr.pkl | Bin 32850587 -> 33497841 bytes .../J1944+0907_ng11yr_nodmx_DE436_epsr.pkl | Bin 7705135 -> 8039808 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/tests/data/J0613-0200_ng11yr_nodmx_DE436_epsr.pkl b/tests/data/J0613-0200_ng11yr_nodmx_DE436_epsr.pkl index 86871eb10fb51fc1336305621bb494deaa960782..0f8a4f49d177aba4e30930fc0d7213c744698a0e 100644 GIT binary patch delta 2757314 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