v2.2 data release of O2 Binary Black Hole posterior samples

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.ipynb for 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.ipynb that 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.ipynb that 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.

v2.1 data release of O2 Binary Black Hole posterior samples

This is the v2.1 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 change in this release is an update to the title of the work, and the author list. The data and configuration files included remain the same as in the v2.0 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.

v2.0 data release of O2 BBH posteriors

This is the v2.0 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 .

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.

v1.1.1 data release of O2 BBH posteriors paper

This is the v1.1.1 data release associated with the parameter estimation analysis of the binary black-hole signals GW170104, GW170608 and GW170814 using the PyCBC Inference toolkit .

The change in this release is an update to the CC BY 4.0 open license, an update to the title of the work, and removal of the DOI badge from the README. The data and configuration files included remain the same as in the v1.0 release.

A companion paper presenting the analysis and the data release is available here : https://arxiv.org/pdf/1811.09232.pdf.

The release includes :

• posterior samples from parameter estimation analyses of the three events, generated using PyCBC v1.12.3 code.
• 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.

v1.0 data release of O2 BBH posteriors paper

This is the v1.0 data release associated with the parameter estimation analysis of the binary black-hole signals GW170104, GW170608 and GW170814 using the PyCBC Inference toolkit : https://arxiv.org/abs/1807.10312 .

A companion paper presenting the analysis and the data release is available here : https://arxiv.org/pdf/1811.09232.pdf.

The release includes :

• posterior samples from parameter estimation analyses of the three events, generated using PyCBC v1.12.3 code.
• 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.