5 citations · 9 across the 5 of their papers we have counts for
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astro-ph.CO2024
DeepWiener: Neural Networks for CMB polarization maps and power spectrum computation
Belén Costanza, Claudia G. Scóccola, Matías Zaldarriaga
To study the early Universe, it is essential to estimate cosmological parameters with high accuracy, which depends on the optimal reconstruction of Cosmic Microwave Background (CMB…
astro-ph.GA2024★ 2 cited
Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +27
We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on galaxy formation and…