Deep Learning for Observational Cosmology – DLOC

Problem:

Building on the latest developments in machine learning in order to address some major problems in cosmological analysis: 1. Observations are financially expensive 2. Simulations are computationally expensive

Solution:

1. Improve the classifier

• Use convolutional neural networks

2. Replace a part of the simulation with AI

• Use generative adversarial networks

Impact:

Cosmology science is heavily dependent on simulations and forward models. Algorithms, which can simulate cosmic structures had a large impact in and drove many branches of cosmology.