Michael Andrews Andrews Search for Exotic Higgs Boson Decays to Merged Diphotons

Search for Exotic Higgs Boson Decays to Merged Diphotons

von Michael Andrews

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

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Beschreibung

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.


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.


Describes first application at CMS of deep learning directly on low-level, "raw" detector data Reports on first direct search for exotic Higgs boson decays involving boosted particle decays Uses domain continuation technique to reconstruct particle decays with invariant mass below detector resolution

Autor*in

Michael Andrews

Themen in »Search for Exotic Higgs Boson Decays to Merged Diphotons«

Exotic Higgs Boson Decays Merged Photons End-to-end Deep Learning End-to-end Physics Reconstruction Axion-like Particles

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Details

ISBN: 9783031250934
Verlag: Springer International Publishing
Erscheinung: 03.03.2024

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