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Published November 27, 2018 | Version v1.1
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gwastro/o2-bbh-pe: v1.1 data release of O2 BBH posteriors papers

  • 1. Syracuse University
  • 2. Albert-Einstein-Institut
  • 3. Los Alamos National Laboratory

Description

This is the v1.1 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.

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.

Files

gwastro/o2-bbh-pe-v1.1.zip

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