Ponente
Elena Aller Gutierrez
(ICTEA - Universidad de Oviedo)
Descripción
Displaced muons constitute one of the key signatures of numerous Beyond the Standard Model (BSM) theories involving Long-Lived Particles (LLPs). Furthermore, the detection and selection of these kind of objects represents a technical challenge. In fact, the trigger system operates under severe latency requirements, deciding whether each recorded event should be kept or not within extremely short time intervals. To address this challenge, we are developing algorithms based on Machine Learning (ML) techniques, specifically Graph Neural Networks (GNNs), for the trigger system to improve the classification efficiency of events containing displaced dimuons.
Autor
Elena Aller Gutierrez
(ICTEA - Universidad de Oviedo)