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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

Inference of injected GW signals

Last modified: le 2023/06/13 16:10