Phenomenology of vector-like leptons with Deep Learning at the Large Hadron Collider
Abstract In this paper, a model inspired by Grand Unification principles featuring three generations of vector-like fermions, new Higgs doublets and a rich neutrino sector at the low scale is presented. Using the state-of-the-art Deep Learning techniques we perform the first phenomenological analysi...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-01-01
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Series: | Journal of High Energy Physics |
Subjects: | |
Online Access: | https://doi.org/10.1007/JHEP01(2021)076 |