PoS - Proceedings of Science
Volume 372 - Artificial Intelligence for Science, Industry and Society (AISIS2019) - Day 2
Deep learning for cosmology
C. Escamilla-Rivera
Full text: pdf
Pre-published on: July 10, 2020
Published on:
Abstract
In this paper we will describe ongoing efforts to shed light on still-unanswered questions in fundamental physics using cosmological observations. We will explain how we can use measurements of the Supernovae data and Baryon Acoustic Oscillations to reconstruct the detailed physics of the dark universe. Also it will address this inverse-problem reconstruction from a Bayesian and Deep Learning perspectives.
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