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Inference of gravitational-wave signals
A Bayesian analysis of a gravitational-wave signal which is not accompanied by electromagnetic signals can be performed within nmma following two main steps:
1) setting up a config.ini
file and running the command
nmma_gw_generation config.ini
2) perform the analysis or parameter estimation using:
nmma_gw_analysis <name_of_analysis>_data_dump.pickle
Below, we provide an example of a gravitational-wave inference setup using observational data of GW170817 and another example for an injection based analysis.
Inference of an observed GW signal: GW170817
1) We start to set up a config.ini
file and adapt it to our specific case. An example is shown below:
################################################################################ ## Data generation arguments ################################################################################ trigger_time = 1187008882.43 ################################################################################ ## Detector arguments ################################################################################ detectors = [H1, L1, V1] psd_dict = {H1=data/GW170817/h1_psd.txt, L1=data/GW170817/l1_psd.txt, V1=data/GW170817/v1_psd.txt} channel_dict = {H1=LOSC-STRAIN, L1=LOSC-STRAIN, V1=LOSC-STRAIN} data_dict = {H1=data/GW170817/H-H1_LOSC_CLN_16_V1-1187007040-2048.gwf, L1=data/GW170817/L- L1_LOSC_CLN_16_V1-1187007040-2048.gwf, V1=data/GW170817/V-V1_LOSC_CLN_16_V1-1187007040-2048.gwf}
duration = 128
################################################################################ ## Job submission arguments ################################################################################ label = GW170817 outdir = outdir
For inferring the source properties of GW170817, we will sample over a set of EOSs that were computed with Chiral Effective Field Theory. The EOS set 15nsat_cse_natural_R14
was used in the study of Huth et al. and can be downloaded there. In order to