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ML-AI Journal Club: ‘Machine Learning in Astroparticle Physics’
May 5 | 11:00 - 12:00
Title: ‘Machine Learning in Astroparticle Physics’
Speaker: Daniel Nieto Castaño (IPARCOS/UCM)
Venue&Time: Gray Room 2 / 11:00
Abstract: This seminar presents the motivation for employing machine
learning (ML) techniques to mitigate some experimental limitations
within the field of astroparticle physics. We will briefly review
selected applications across various detection domains, specifically
addressing astrophysical neutrinos, cosmic rays, and dark matter
candidates. Particular emphasis will be placed upon the analysis of
very-high-energy gamma-rays, illustrating how these ML frameworks are
increasingly integral to advancing current observational capabilities.