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Search for Exotic Higgs Boson Decays to Merged Diphotons

A Novel CMS Analysis Using End-To-End Deep Learning

Michael Andrews
Livre relié | Anglais | Springer Theses
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Description

This book describes the first application at CMS of deep learning algorithms trained directly on low-level, "raw" detector data, or so-called end-to-end physics reconstruction. Growing interest in searches for exotic new physics in the CMS collaboration at the Large Hadron Collider at CERN has highlighted the need for a new generation of particle reconstruction algorithms. For many exotic physics searches, sensitivity is constrained not by the ability to extract information from particle-level data but by inefficiencies in the reconstruction of the particle-level quantities themselves. The technique achieves a breakthrough in the reconstruction of highly merged photon pairs that are completely unresolved in the CMS detector. This newfound ability is used to perform the first direct search for exotic Higgs boson decays to a pair of hypothetical light scalar particles H aa, each subsequently decaying to a pair of highly merged photons a yy, an analysis once thought impossible to perform. The book concludes with an outlook on potential new exotic searches made accessible by this new reconstruction paradigm.

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
188
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9783031250903
Date de parution :
03-03-23
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
157 mm x 236 mm
Poids :
498 g

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