Teaching AI to explain cosmology

Lead Research Organisation: University College London
Department Name: Physics and Astronomy

Abstract

UCL has been heavily involved in large galaxy surveys: DES & KiDS (both with their observations complete, many results already published, and new analyses underway), DESI (had its first light in October 2019; survey to start in 2020), Euclid & LSST (both to start surveys in 2022). While there is a well-defined Bayesian model-dependent methodology to derive cosmological parameters from the data, the cosmology community is only at the beginning of getting AI algorithms to (i) explain and interpret what the algorithms are actually doing; (ii) incorporating known base-line Physics in the algorithms; and (iii) discovering new Physics (or new systematics) from the data.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ST/P006736/1 01/10/2017 30/09/2024
2425038 Studentship ST/P006736/1 01/10/2020 30/09/2024 Prabh Bhambra