Poster
Nessai: Improved nested sampling with normalising flows for gravitational-wave inference
Gravitational Waves
Michael
Williams
University of Glasgow
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.
All attendees are expected to show respect and courtesy to other attendees and staff, and to adhere to the NAM Code of Conduct.
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