Oct 20 – 25, 2019
America/Mexico_City timezone

Deep learning for cosmology

Oct 22, 2019, 3:30 PM
30m
Oral Plenary

Speaker

Celia Escamilla-Rivera (ICN-UNAM)

Description

In this talk I will describe ongoing efforts to shed light on still-unanswered questions in fundamental physics using cosmological observations. I will explain how we can use measurements of the Supernovae data, Baryon Acoustic Oscillations, Cosmic Microwave Background and the large-scale structure of the universe to reconstruct the detailed physics of the dark universe. Also I will address this inverse-problem reconstruction from a Bayesian and Machine Learning perspectives.

Primary author

Presentation materials