ASCL Code Record
[ascl:2212.001]
GWFAST: Fisher information matrix python package for gravitational-wave detectors
GWFAST forecasts the signal-to-noise ratios and parameter estimation capabilities of networks of gravitational-wave detectors, based on the Fisher information matrix approximation. It is designed for applications to third-generation gravitational-wave detectors. It is based on Automatic Differentiation, which makes use of the library JAX (ascl:2111.002). This allows efficient parallelization and numerical accuracy. The code includes a module for parallel computation on clusters.
- Code site:
- https://github.com/CosmoStatGW/gwfast
- Used in:
- https://ui.adsabs.harvard.edu/abs/2022arXiv220702771I
- Described in:
- https://ui.adsabs.harvard.edu/abs/2022ApJS..263....2I
- Bibcode:
- 2022ascl.soft12001I
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2022ApJS..263....2I and a link to the github repository https://github.com/CosmoStatGW/gwfast
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