![[Search]](/static/images/search.gif){kind=small}
![[A-Z Index]](/static/images/az.gif){kind=small}
![[Contact]](/static/images/contact.gif){kind=small}
![[University of Cambridge]](/static/images/identifier2.gif){kind=small}
![[Talks.cam]](/static/images/talkslogosmall.gif)
Wednesday 24 April 2024, 10:00-11:00
Neural ratio estimation: the future of supernova cosmology?
- đ¤ Speaker: Matthew Grayling (University of Cambridge)
- đ Date & Time: Wednesday 24 April 2024, 10:00 - 11:00
- đ Venue: Martin Ryle Seminar Room, KICC
Questions? Contact
David Yallup
Abstract
Simulation-based inference (SBI) has the potential to revolutionise how we do supernova cosmology and let us incorporate arbitrarily complex effects within a Bayesian model. I will present recent work which sought to validate neural ratio estimation (NRE) by comparing NRE -derived posteriors on supernova properties to those obtained with a likelihood-based MCMC approach for the same data, and then discuss how NRE and SBI in general provide a pathway towards a model extending all the way from type Ia supernova light curves to cosmological parameters as part of a single analysis.
Series This talk is part of the Astro Data Science Discussion Group series.
Included in Lists
- Astro Data Science Discussion Group
- Cambridge Astronomy Talks
- Combined External Astrophysics Talks DAMTP
- Cosmology, Astrophysics and General Relativity
- Institute of Astronomy Extra Talks
- Institute of Astronomy Talk Lists
- Martin Ryle Seminar Room, KICC
Note: Ex-directory lists are not shown.