Compilation of results
Job owner |
bilby version |
Waveform | Sampler | Config file | Prior | Notes |
---|---|---|---|---|---|---|
Virginia d'Emilio | 0.3.5 | TaylorF2 | dynesty | python script | BNSPriorDict |
Results |
cell | cell | cell | cell | cell | cell | cell |
ini file - GW170817.ini
# An ini file for running H1, L1, V1, and H1L1V1 searches for BNS signal GW170817
gracedb = G298048
label = GW170817
channel-names = [H1:DCH-CLEAN_STRAIN_C02, L1:DCH-CLEAN_STRAIN_C02, V1:Hrec_hoft_V1O2Repro2A_16384Hz]
query-types = [H1_CLEANED_HOFT_C02, L1_CLEANED_HOFT_C02, V1O2Repro2A]
create-summary = True
create-output = True
detectors = [H1, L1, V1]
coherence-test = True
duration = 64
sampling-frequency = 4000
random-seed = 170817
outdir = results_GW170817
create-summary = True
sampler = dynesty
sampler-kwargs = {'nlive': 500}
prior-file = GW170817.prior
waveform-approximant = TaylorF2
reference-frequency = 100
minimum-frequency = 30
maximum-frequency = 2048
accounting = ligo.dev.o3.cbc.pe.lalinference
default-prior = BNSPriorDict
frequency-domain-source-model = lal_binary_neutron_star
conversion = convert_to_lal_binary_neutron_star_parameters
prior file - GW170817.prior
# These are some priors we use to determine the source of GW170817.
# Lines beginning "#" are ignored.
chirp_mass = Uniform(name='chirp_mass', minimum=0.696, maximum=1.74, unit='$M_{\\odot}$')
mass_ratio = Uniform(name='mass_ratio', minimum=0.5, maximum=1)
chi_1 = bilby.gw.prior.AlignedSpin(a_prior=Uniform(0, 0.05), z_prior=Uniform(-1, 1), name='chi_1', latex_label='$\\chi_1$')
chi_2 = bilby.gw.prior.AlignedSpin(a_prior=Uniform(0, 0.05), z_prior=Uniform(-1, 1), name='chi_2', latex_label='$\\chi_2$')
luminosity_distance = bilby.gw.prior.UniformComovingVolume(name='luminosity_distance', minimum=10, maximum=100, unit='Mpc')
dec = Cosine(name='dec')
ra = Uniform(name='ra', minimum=0, maximum=2 * np.pi)
iota = Sine(name='iota')
psi = Uniform(name='psi', minimum=0, maximum=np.pi)
phase = Uniform(name='phase', minimum=0, maximum=2 * np.pi)
lambda_1 = Uniform(name='lambda_1', minimum=0, maximum=3000 )
lambda_2 = Uniform(name='lambda_2', minimum=0, maximum=3000 )
Notes
Caution: Make sure to specify which priors and source models to use, else bilby_pipe
will default to using BBH-centred analyses.
Problems
An error prevented .html
from being generated for the above 3-detector analysis. Below, the results from the previous two-detector analysis are presented.