Development of Machine Learning τ Trigger Algorithms and Search for Higgs Boson Pair Production In the bbττ Decay Channel with the CMS Detector at the LHC /

This book reports the successful optimization of the Compact Mupn Solenoid (CMS) tau trigger algorithm for the Run-3 (Phase-1) of the Large Hadron Collider (LHC) and a completely new and original design of a machine learning based tau triggering algorithm for the High Luminosity LHC (or Phase-2). A...

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Bibliographic Details

Main Author:	Motta, Jona (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Series:	Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:	Elementary particles (Physics). Quantum field theory. Machine learning. Particles (Nuclear physics). Elementary Particles, Quantum Field Theory. Machine Learning. Particle Physics.
Online Access:	https://doi.org/10.1007/978-3-031-96288-2
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