International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

Session

SPACE CoE

11 Jul 2024, 15:50

Aula Magna (Catania)

Conveners

SPACE CoE: I

• Eva Sciacca (Istituto Nazionale di Astrofisica (INAF))

246. The SPACE Centre of Excellence

Giuliano Taffoni

11/07/2024, 15:50

Oral Presentation

High-performance computing (HPC)-based numerical simulations are indispensable in astrophysics and cosmology (A&C), aiding scientific understanding of celestial phenomena. These simulations model complex physical processes underlying observations, crucial for interpretation. Advancements in computational power promise transformative scientific discoveries through larger-scale simulations,...

248. Interpreting the largest cosmological simulations using Representation Learning

Sebastian Trujillo

11/07/2024, 16:10

Numerical simulations are the best approximation to experimental laboratories in astrophysics and cosmology. However, the complexity and richness of their outputs severely limit the interpretability of their predictions. We describe a new assumption-free approach to obtaining scientific insights from cosmological simulations. The method can be applied to today’s largest simulations and will be...