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arXiv · 2311.17174

EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms

Ippocratis D. Saltas·Roberto Oliveri
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Abstract

We describe a simple and efficient Python code to perform Bayesian forecasting for gravitational waves (GW) produced by Extreme-Mass-Ratio-Inspiral systems (EMRIs). The code runs on GPUs for an efficient parallelised computation of thousands of waveforms and sampling of the posterior through a Markov-Chain-Monte-Carlo (MCMC) algorithm. EMRI_MC generates EMRI waveforms based on the so--called kludge scheme, and propagates it to the observer accounting for cosmological effects in the observed waveform due to modified gravity/dark energy. The code provides a helpful resource for forecasts for interferometry missions in the milli-Hz scale, e.g the satellite-mission LISA.

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BibTeXRIS

Ippocratis D. Saltas, Roberto Oliveri. 2023-11-28. EMRI_MC: A GPU-based Python code for Bayesian inference of EMRI waveforms. https://doi.org/10.21468/scipostphyscodeb.44

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