Chayan Chatterjee
Manoj Kovalam
Linqing Wen
Damon Beveridge
Foivos Diakogiannis
Kevin Vinsen
2023-02-02
<p>This folder contains the input data (signal-to-noise ratio time series for gravitational wave detections) and results (sky localization areas) obtained from the deep learning based sky localization model 'GW-SkyLocator', and the rapid online gravitational wave sky localization tool 'BAYESTAR' on a set of injections of gravitational wave signals from compact binary mergers.</p>
<p>For details of the work, please refer to the paper, 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning' (https://arxiv.org/abs/2207.14522).</p>
https://doi.org/10.5281/zenodo.7600069
oai:zenodo.org:7600069
Zenodo
https://arxiv.org/abs/2207.14522
https://doi.org/10.5281/zenodo.7600068
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Test sets and results for paper 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning'
info:eu-repo/semantics/other