High-Dimension Bayesian Model Comparison in Cosmology

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• Toby Lovick / IoA
• Wednesday 08 October 2025, 13:15-13:40
• Hoyle Lecture theatre + Zoom .

If you have a question about this talk, please contact Xander Byrne.

Our recent work (2509.13307) demonstrated the performance of GPU -accelerated nested sampling for efficient high-dimensional Bayesian inference in cosmology. Using JAX -based emulators and likelihoods we can leverage the parallel computing of GPUs to achieve orders of magnitude speed-ups against CPU -based analyses, and bring robust evidence calculations up to GPU -speed. This puts nested sampling back on equal footing with Markov Chain Monte Carlo (MCMC) methods, which use auto-diff gradients to achieve their speed-ups. In particular a Euclid-like mock Cosmic Shear likelihood has been considered, an analysis which previously took 8 months on a CPU instance, and we bring the time to constrain both ΛCDM and w0wa down to only 2 days on a single GPU . This talk explores a few options for pushing our methodology even further, in preparation for joint analyses of next generation of cosmlogical surveys.

This talk is part of the Institute of Astronomy Seminars series.

This talk is included in these lists:

• Cambridge Astronomy Talks
• Combined External Astrophysics Talks DAMTP
• Cosmology lists
• Cosmology, Astrophysics and General Relativity
• Hoyle Lecture theatre + Zoom
• Institute of Astronomy Seminars
• Institute of Astronomy Talk Lists
• Kavli Institute for Cosmology Talk Lists
• Priscilla

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