Modeling Halo Bias with Neural Networks

Explore a 58-minute research presentation by Natalia Villa Rodrigues from the University of São Paulo (USP) on the application of neural networks to model halo bias in cosmology. Delivered as part of the ICTP-SAIFR São Paulo Research Group meetings in Astro & Cosmo on April 4, 2025, this talk delves into innovative computational approaches for understanding the distribution of dark matter halos in the universe. Learn how machine learning techniques can enhance our modeling capabilities in cosmological simulations and improve our understanding of large-scale structure formation. For additional information about this and other presentations in the series, visit the ICTP-SAIFR website.