Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Abstract The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine-Learning (ML) techniques to explore WIMP radiative decays into a Dark Matter (DM) candidate in a supersymmetric framewo...

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Bibliographic Details

Published in:	Journal of High Energy Physics
Main Authors:	Ernesto Arganda, Marcela Carena, Martín de los Rios, Andres D. Perez, Duncan Rocha, Rosa M. Sandá Seoane, Carlos E. M. Wagner
Format:	Article
Language:	English
Published:	SpringerOpen 2025-07-01
Subjects:	Dark Matter at Colliders Supersymmetry
Online Access:	https://doi.org/10.1007/JHEP07(2025)014