[workflow]
file-retention-level = all_triggers
start-time = 1125100817
end-time = 1188259218

[workflow-ifos]
h1 = 
l1 = 
v1 = 

[workflow-posterior_parameters]
mass1 = srcmass1
mass2 = srcmass2
spin1_a = 
spin1_azimuthal = 
spin1_polar = 
spin2_a = 
spin2_azimuthal = 
spin2_polar = 
chi_eff = 'chi_eff_from_spherical(srcmass1, srcmass2, spin1_a, spin1_polar, spin2_a, spin2_polar)'
chi_p = 'chi_p_from_spherical(srcmass1, srcmass2, spin1_a, spin1_azimuthal, spin1_polar, spin2_a, spin2_azimuthal, spin2_polar)'
tc = 'delta_tc+trigger_time'
comoving_volume = 
distance = 'distance_from_comoving_volume(comoving_volume)'
redshift = 'redshift_from_comoving_volume(comoving_volume)'
inclination = 
polarization = 
ra = 
dec = 
loglikelihood = 
logjacobian = 
logprior = 

[workflow-summary_table]
table-parameters = 'mass1:$m_1^{\rm{src}}$ ($\rm{M}_{\odot}$)'
	'mass2:$m_2^{\rm{src}}$ ($\rm{M}_{\odot}$)'
	'mchirp_from_mass1_mass2(mass1, mass2):$\mathcal{M}^{\rm{src}}$ ($\rm{M}_{\odot}$)'
	'(mass1+mass2):$M_{\rm{total}}^{\rm{src}}$ ($\rm{M}_{\odot}$)'
	'q_from_mass1_mass2(mass1, mass2):q'
	chi_eff chi_p
	'trigger_time-tc:$t_0-t_c$ (s)' distance redshift
	'snr_from_loglr(loglikelihood-lognl):SNR'
print-metadata = 'trigger_time:$t_0$' analyzed_detectors:Detectors

[workflow-summary_plots]
plot-group-mass1_mass2 = 'mass1:$m_1^{\rm{src}}$ ($\rm{M}_{\odot}$)'
	'mass2:$m_2^{\rm{src}}$ ($\rm{M}_{\odot}$)'
plot-group-distance_inc = inclination distance
plot-group-chieff_chip = chi_p chi_eff

[workflow-plot_parameters]
plot-group-masses = 'mass1*(1+redshift):$m_1^{det}$'
	'mass2*(1+redshift):$m_2^{det}$'
	'mchirp_from_mass1_mass2(mass1, mass2)*(1+redshift):$\mathcal{M}^{det}$'
	'(mass1+mass2)*(1+redshift):$M^{det}$'
	'q_from_mass1_mass2(mass1, mass2):q'
plot-group-spins = spin1_a spin2_a
	spin1_azimuthal spin2_azimuthal
	spin1_polar spin2_polar
	chi_eff
	chi_p
plot-group-extrinsic = ra dec tc polarization inclination distance redshift

[executables]
extract_posterior = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_extract_samples
inference_posterior = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_plot_posterior
inference_posterior_summary = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_plot_posterior
inference_prior = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_plot_prior
inference_table = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_table_summary
create_fits_file = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_create_fits
inference_skymap = /work/cdcapano/virtualenv/py36/bin/pycbc_inference_plot_sky
plot_spectrum = /work/cdcapano/virtualenv/py36/bin/pycbc_plot_psd_file
results_page = /work/cdcapano/virtualenv/py36/bin/pycbc_make_html_page

[pegasus_profile-inference_prior]
condor|request_memory = 4G

[pegasus_profile-inference_skymap]
condor|request_memory = 4G

[pegasus_profile-inference_posterior]
condor|request_memory = 4G

[pegasus_profile-inference_posterior_summary]
condor|request_memory = 4G

[extract_posterior]

[inference_posterior_summary]
plot-contours = 
plot-marginal = 
plot-density = 
density-cmap = Blues

[inference_posterior]
plot-contours = 
plot-marginal = 
plot-scatter = 
z-arg = snr

[create_fits_file]

[inference_skymap]
colormap = Blues

[inference_prior]

[inference_table]
quantiles = 5 50 95

[plot_spectrum]
dyn-range-factor = 1

[results_page]
analysis-title = "2-OGC BBH Top 30"
output-path = /work/cdcapano/WWW/projects/open_catalog/2-ogc/bbh_top30/combine_posteriors7