Welcome to gwfast’s documentation!¶
gwfast is a Python code for forecasting 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
.
This allows numerical accuracy, and the possibility to vectorise the computation even on a single CPU, on top of the possibility to parallelise.
The code includes a module for parallel computation on clusters.
For further documentation refer to the release papers arXiv:2207.02771 and arXiv:2207.06910.