Author: Daniel Angles-Alcazar

Hyper-refinement Simulations in Astro2020 report

The Decadal Survey on Astronomy and Astrophysics 2020 (Astro2020), assembled by a 20-member steering committee and 13 expert panels gathering input from across the community, highlighted the crucial importance of theoretical models to support large observational programs in the Cosmic Ecosystems science priority.  The final report featured an image from our cosmological hyper-refinement simulations to illustrate the multi-scale nature of gas flows from the cosmic web down to supermassive black holes!

CAMELS wave!

Three CAMELS papers posted to arXiv this week!  We perform multifield cosmology with artificial intelligence for the first time, show that neural networks can yield robust marginalization of baryonic effects for cosmological inference at the field level, and make publicly available the largest dataset of 2D maps and 3D grids with properties of cosmic gas, dark matter, and stars to train machine learning algorithms in the CAMELS Multifield Dataset.