Poster

Title of Abstract

Nessai: Improved nested sampling with normalising flows for gravitational-wave inference

Presenting author first name

Michael

Surname

Williams

Date Submitted

2021-04-29 00:00:00

Institution

University of Glasgow

Author List (including presenting author)

M. J. Williams (University of Glasgow), J. Veitch (University of Glasgow), C. Messenger (University of Glasgow))

Abstract

Our understanding of the sources that produce gravitational waves hinges on the ability to perform Bayesian inference on the physical parameters that describe them. However, for certain waveforms and systems, this is computationally expensive. In this talk, I will present our new nested sampling algorithm that incorporates machine learning to improve the efficiency. Our new algorithm called nessai is applicable to general problems. In this work, we focus on the application to compact binary coalescence and achieve a factor of two improvement compared to current methods in use by the LVK Collaboration.

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