Research Division Seminar
The CAMELS project

Abstract

I will present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, whose main goal of the project is to provide theoretical predictions for observables as a function of cosmology and astrophysics by combining thousands of state-of-the-art cosmological hydrodynamic simulations with machine learning. I will first introduce the simulations and their characteristics. Next, I will present a few results from the CAMELS collaboration, such as the finding of a universal relation between subhalo properties, the usage of convolutional neural networks to marginalize over astrophysics effects at the field level, a constrain on the mass of the Milky Way and Andromeda using graph neural networks, and the prospects of inferring cosmological parameters with a single galaxy.

Join Zoom Meeting
https://rediris.zoom.us/j/81173800387?pwd=Q3hvV0trbnlXeTQ2SzZVS1JveGZZUT09
Meeting ID: 811 7380 0387
Passcode: 437953

YouTube: https://youtu.be/qCYFAh9te_Y