Dataset Open Access
Test sets and results for paper 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning'
Chayan Chatterjee;
Manoj Kovalam;
Linqing Wen;
Damon Beveridge;
Foivos Diakogiannis;
Kevin Vinsen
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.
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).
Files
(229.3 MB)
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GW-SkyLocator_data_Zenodo.tar.gz
md5:ecc9dec8100eb966e663f24b89d2f895 |
229.3 MB | Download |
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| Views | 6 | 6 |
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| Data volume | 229.3 MB | 229.3 MB |
| Unique views | 6 | 6 |
| Unique downloads | 1 | 1 |
Indexed in
- Publication date:
- February 2, 2023
- DOI:
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- Related identifiers:
- Cited by
- License (for files):
- Creative Commons Attribution 4.0 International