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Beam test calorimeter prototypes for the CMS calorimeter endcap upgrade : qualification, performance validation and fast generative modelling / Thorben Quast.

SpringerLink Books Physics and Astronomy eBooks 2021 Available online

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Format:
Book
Author/Creator:
Quast, Thorben.
Series:
Springer theses 2190-5061
Springer theses, 2190-5061
Language:
English
Subjects (All):
Calorimeters.
Genre:
Electronic books.
Physical Description:
1 online resource.
Place of Publication:
Cham, Switzerland : Springer, 2021.
System Details:
text file
Summary:
The Standard Model of Particle of Physics (SM), despite its success, still fails to provide explanations for some essential questions such as the nature of dark matter or the overabundance of matter over anti-matter in the universe. Therefore, experimental testing of this theory will remain a cornerstone of particle physics in the upcoming decades. A central approach is via collisions of elementary particles at the highest-possible centre-of-mass energies and rates. At the Large Hadron Collider (LHC), protons are accelerated to up to 7 TeV and are brought to collision 40 million times a second. Characterisation of the particles emerging from these collisions allow one to infer the underlying physical interactions. The particle energies are measured with calorimeters, themselves an integral component of the scientific programme of the LHC and prerequisite for its success. Facing increased radiation levels and more challenging experimental conditions after the upcoming High Luminosity upgrade of the Large Hadron Collider, the CMS collaboration will soon replace its current calorimeter endcaps with the High Granularity Calorimeter (HGCAL) in the mid 2020s. This thesis documents two milestones towards the realization of this novel and ambitious calorimeter concept: Prototypes of the silicon-based compartment have been built, operated in particle beam and ultimately its design could be validated. Furthermore, the thesis demonstrates the applicability of a specific set of deep learning algorithms for the generative modelling of granular calorimeter data. Besides the main results themselves, the thesis discusses in detail the associated experimental infrastructure and the underlying data reconstruction strategy and algorithms. It also incorporates short introductions to particle physics at the LHC, to calorimeter concepts and to the CMS HGCAL upgrade.
Contents:
Introduction
Particle Physics at the Large Hadron Collider
Shower Physics and Calorimetry
CMS Calorimeter Endcap Upgrade (HGCAL)
Strategy
Experimental Infrastructure
Data Reconstruction Algorithms
Silicon Sensor and Module Qualification
In Situ Calibration of Prototype Modules
Performance Validation of the Silicon-Based Calorimeter Prototype
Fast Generative Modelling of Electromagnetic Calorimeter Showers
Summary, Outlook and Conclusion.
Notes:
"Doctoral thesis accepted by the Rheinisch Westfälische Technische Hochschule, Aachen, Germany."
Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed February 9, 2022).
ISBN:
9783030902025
3030902021
OCLC:
1293767764
Access Restriction:
Restricted for use by site license.

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