This is the v2.2 data release associated with the parameter estimation analysis of the binary black-hole signals from Advanced LIGO-Virgo's second observing run, using the PyCBC Inference toolkit : https://iopscience.iop.org/article/10.1088/1538-3873/aaef0b . A companion paper presenting our parameter estimation analysis and the data release is available here : https://arxiv.org/pdf/1811.09232.pdf.
The analysis was performed using the PyCBC v1.12.3 code on the gravitational-wave data available at https://www.gw-openscience.org/catalog/GWTC-1-confident/html/ . Descriptions of the gravitational-wave data can be found in the paper https://arxiv.org/abs/1811.12907 .
The changes in this release are
- An update to the plotting code in
data_release_o2_bbh_pe.ipynbfor generating Figs. 1, 2, and 3 in the companion paper to take into account cases where a boundary bias may be introduced for plotting probability contours. - Addition of a plotting code in
data_release_o2_bbh_pe.ipynbthat generates a corner plot showing estimates (median and 90% credible interval) and posterior distributions for all the parameters presented in Table 1 of the companion paper. - Addition of a notebook
o2_bbh_pe_skymaps.ipynbthat demonstrates the method for visualizing sky location posteriors as presented in Fig. 4 of the manuscript.
The data and configuration files included remain the same as in the v2.1 release.
This release includes :
- posterior and prior samples from parameter estimation analyses of the seven binary black-hole events---GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823.
- PSDs used in each of the analyses
- configuration files and run scripts for running the analyses and generating the data.
- tutorials for manipulating the data and reconstructing the figures in the companion paper.