GWFAST: A Fisher Information Matrix Python Code for Third-generation Gravitational-wave Detectors

Abstract We introduce GWFAST ( https://github.com/CosmoStatGW/gwfast ), a Fisher information matrix Python code that allows for easy and efficient estimation of signal-to-noise ratios parameter measurement errors large catalogs resolved sources observed by networks gravitational-wave (GW) detectors. In particular, includes the effects Earth’s motion during evolution signal, supports parallel computation, relies on automatic differentiation rather than finite differences techniques, which makes possible computation derivatives with accuracy close to machine precision. also release library WF4Py https://github.com/CosmoStatGW/WF4Py ) implementing state-of-the-art GW waveforms in . this paper we provide documentation practical examples tests performance reliability. companion Iacovelli et al. present forecasts detection capabilities second third generation ground-based detectors, obtained