Published November 27, 2018
| Version v1.1
Dataset
Open
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
Files
(4.7 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/gwastro/o2-bbh-pe/tree/v1.1 (URL)