Search for Exotic Higgs Boson Decays to Merged Diphotons

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

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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2023-03-02



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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.
Pages
188 pages
Collection
Springer Theses
Parution
2023-03-02
Marque
Springer
EAN papier
9783031250903
EAN PDF
9783031250910

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6103 Ko
Prix
163,35 €
EAN EPUB
9783031250910

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
50616 Ko
Prix
163,35 €