PoS - Proceedings of Science
Volume 449 - The European Physical Society Conference on High Energy Physics (EPS-HEP2023) - T01 Astroparticle Physics and Gravitational Waves
Towards an implicit-likelihood future for gravitational wave data analysis
U. Bhardwaj
Full text: pdf
Pre-published on: December 14, 2023
Published on: March 21, 2024
An increasingly louder gravitational wave sky brings about a host of data analysis challenges
especially when it comes to parameter inference. It is well understood that direct implementation of traditional, likelihood-based inference techniques such as e.g. dynesty, MCMC etc. for parameter inference of next-generation gravitational wave signals will not be feasible or even
possible in certain cases where the likelihood function becomes mathematically intractable. In
this article, I propose an implicit-likelihood technique called sequential simulation based inference packaged within the open-source pipeline PEREGRINE and its applicability in dealing with
upcoming data analysis challenges in gravitational wave physics. I highlight the simulation efficiency that peregrine exhibits whilst ensuring optimal precision in a statistically robust way.
Ultimately, I emphasize the potential of implicit-likelihood techniques for parameter inference of
multiple different types of signals in the current and upcoming era of gravitational wave physics.
DOI: https://doi.org/10.22323/1.449.0066
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