GW190814 input configuration files

examples/config_files/config_GW190814_IMRPhenomHM.ini

+[analysis]
+# Interferometers to run the analysis on.
+ifos = H1,L1,V1
+approximant = IMRPhenomHM
+minimum_frequency_ifos = {H1: 20.0, L1: 30.0, V1: 20.0}
+maximum_frequency = 1024
+reference_frequency = 20
+roq = False
+roq_b_matrix_directory = /Users/marcarene/roq/ROQ_data/IMRPhenomPv2/
+psds_single_file = None
+psd_dict={H1:/Users/marcarene/projects/python/gwhmc/__input_data/GW190814/glitch_median_PSD_forLI_H1.dat, L1:/Users/marcarene/projects/python/gwhmc/__input_data/GW190814/glitch_median_PSD_forLI_L1.dat, V1:/Users/marcarene/projects/python/gwhmc/__input_data/GW190814/glitch_median_PSD_forLI_V1.dat}
+phase_marginalization = False
+frequency_domain_source_model=lal_binary_black_hole
+
+
+[parameters]
+prior_file=../gw/prior_files/GW190814_alignedspins_withphic.prior
+
+[hmc]
+# Total number of trajectories of HMC
+n_traj_hmc_tot = 1500
+# Number of trajectories using  numericalgradients in phase 1.
+n_traj_fit = 1500
+# Number of iterations if phase1 loop to go over for this run. This permits to split phase1 into several chunks. If set to 0, then the value will be set to that of n_traj_fit
+n_traj_for_this_run = 1000000
+# Number of points used to sub-select points in Ordered Look-Up Tables for local fit bimodal parameters like (cos(inc), psi, logD)
+n_fit_1 = 2000
+# Number of points sub-selected from the above n1 ones to perform a linera fit
+n_fit_2 = 200
+# Length of numerical trajectories during phase1
+length_num_traj = 200
+# Stepsize between steps of trajectories used for phase1.
+epsilon0 = 5e-3
+# Python file to configure your search parameter space
+; config_hmc_parameters_file = ../examples/config_params/config_hmc_parameters.json
+config_hmc_parameters_file = ../examples/config_params/IMRPhenomHM.json
+; config_hmc_parameters_file = ../examples/config_params/config_hmc_parameters_spins_P.json
+# Number of statistically independant samples desired.
+n_sis = 5000

examples/config_params/IMRPhenomHM.json

+{
+  "search_parameter_keys": [
+    "theta_jn",
+    "phase",
+    "psi",
+    "luminosity_distance",
+    "chirp_mass",
+    "reduced_mass",
+    "dec",
+    "ra",
+    "geocent_time",
+    "chi_1",
+    "chi_2"
+  ],
+  "trajectory_functions": {
+      "theta_jn": "cosine",
+      "phase": "None",
+      "psi": "None",
+      "luminosity_distance": "log",
+      "chirp_mass": "log",
+      "reduced_mass": "log",
+      "dec": "sine",
+      "ra": "None",
+      "geocent_time": "log",
+      "chi_1": "None",
+      "chi_2": "None"
+  },
+  "search_parameter_keys_local_fit": [
+    "theta_jn",
+    "psi",
+    "luminosity_distance"
+  ],
+  "parameters_offsets": {
+      "theta_jn": 1e-7,
+      "phase": 1e-7,
+      "psi": 1e-7,
+      "luminosity_distance": 1e-7,
+      "chirp_mass": 1e-7,
+      "reduced_mass": 1e-7,
+      "dec": 1e-7,
+      "ra": 1e-7,
+      "geocent_time": 1e-7
+  }
+}

examples/trigger_files/GW190814_IMRPhenomHM_mfsnr24.ini

+# Import such a file using the following lines in a python script
+# from configparser import ConfigParser
+# config = ConfigParser()
+# config.read('ThisFile.ini')
+
+# Values derived from the last samples of the Prod4-IMRPhenomHM run which summary page is here: https://ldas-jobs.ligo.caltech.edu/~charlie.hoy/PE/O3/S190814bv/C01/PhenomHM/git_repo/html/Downloads.html, corresponding to a mf_snr = 24.8
+
+[parameters]
+mass_1=25.109017
+mass_2=2.670127
+luminosity_distance=227.228382
+theta_jn=0.901714
+psi=1.893106
+phase=0.215238
+geocent_time=1249852256.9918282
+ra=0.206939
+dec=-0.406478
+chi_1=0.024501
+chi_2=-0.035721

gw/prior_files/GW190814_alignedspins_withphic.prior

+# Example of priors for GW190814
+# See Prod4-IMRPhenomHM run config ini file: https://ldas-jobs.ligo.caltech.edu/~charlie.hoy/PE/O3/S190814bv/C01/PhenomHM/git_repo/html/Prod4_Prod4_Config.html
+theta_jn = Sine(name='theta_jn', boundary='reflective')
+phase = Uniform(name='phase', minimum=0, maximum=2*np.pi, boundary='periodic')
+psi = Uniform(name='psi', minimum=0, maximum=np.pi, boundary='periodic')
+luminosity_distance = PowerLaw(name='luminosity_distance', alpha=2, minimum=10, maximum=1000, unit='Mpc', boundary=None)
+mass_1 = Uniform(name='mass_1', minimum=1, maximum=60, unit='$M_{\odot}$')
+mass_2 = Uniform(name='mass_2', minimum=1, maximum=60, unit='$M_{\odot}$')
+chirp_mass = Constraint(name='chirp_mass', minimum=5, maximum=8, unit='$M_{\odot}$')
+dec = Cosine(name='dec', boundary='reflective')
+ra = Uniform(name='ra', minimum=0, maximum=2 * np.pi, boundary='periodic')
+geocent_time = Uniform(name='geocent_time', minimum=-np.inf, maximum=np.inf, boundary='reflective', latex_label='$t_c$', unit='$s$')
+chi_1 = bilby.gw.prior.AlignedSpin(name='chi_1', a_prior=Uniform(minimum=0, maximum=0.99), boundary='reflective')
+chi_2 = bilby.gw.prior.AlignedSpin(name='chi_2', a_prior=Uniform(minimum=0, maximum=0.99), boundary='reflective')