“Machine learning for neutrino experiments” / Saul Alonso Monsalve (ETH Zurich)

ICRR Seminar

NemberR5-5 /  IPMU/ILANCE/ICRR joint seminar
Date&TimeJuly 6, 2023 Thu. 13:30-(JST)
PlaceIPMU, Seminar A (1F) and Zoom  https://ipmu.zoom.us/j/92664869669
SpeakerSaul Alonso Monsalve (ETH Zurich)
Title“Machine learning for neutrino experiments”
AbstractDeep learning methods are becoming key in analysing some elementary particles of the Standard Model: the neutrinos. Current neutrino experiments are leveraging these techniques, which in combination have exhibited to outperform standard tools in several domains, such as identifying neutrino interactions or reconstructing particle energies. In this seminar, I will show various deep-learning algorithms used in the context of the T2K and DUNE experiments, two cutting-edge international neutrino experiments. I will present how computer vision and methods originally designed for natural language processing can be used for reconstruction tasks, including particle fitting and particle identification. All these methods report promising results and are already integrated (or planned to be) into the reconstruction chain of the experiments.