Published October 31, 2020
| Version v1.0.0
Dataset
Open
GWML/GWSkyNet: GWSkyNet_v1
- Creators
-
Ashish Mahabal1
-
Cabero, Miriam2
-
McIver, Jess2
-
1.
California Institute of Technology
- 2. The University of British Columbia
Description
GWSkyNet is a binary CNN classifier for gravitational-wave candidates. This repository contains the published model together with instructions on how to use the classifier. The input is a sky map FITS file from BAYESTAR, which can be found on GraceDB for real gravitational-wave candidates.
Files
GWML_GWSkyNet-v1.0.0.zip
Other
Related Publication: GWSkyNet: a real-time classifier for public gravitational-wave candidates Miriam Cabero The University of British Columbia Ashish Mahabal Caltech Jess McIver The University of British Columbia The Astrophysical Journal Letters https://doi.org/10.3847/2041-8213/abc5b5 eng
Other
Contact person: Miriam Cabero micamu@phas.ubc.ca
Additional details
- CALTECHDATA_ID
- 1659
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- :unav 1640818, AST-1815034
- National Science Foundation, USA
- :unav JC-001/2017
- Indo-US Science and Technology Forum
- Accepted
-
2020-10-23