Response of the high granularity calorimeter HGCAL and characterisation of the Higgs Boson : with the CMS Experiment at the LHC / by Matteo Bonanomi.

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Response of the high granularity calorimeter HGCAL and characterisation of the Higgs Boson : with the CMS Experiment at the LHC / by Matteo Bonanomi.

9783031268335 electronic book
3031268334 electronic book
9783031268328
3031268326

Cham : Springer, 2023.

English

1 online resource (xix, 267 pages) : illustrations (some color).

10.1007/978-3-031-26833-5 doi

QC793.5.B62 B66 2023

539.7/21

This book highlights the most complete characterization of the Higgs boson properties performed to date in the "golden channel," i.e., decay into a pair of Z bosons which subsequently decay into four leptons. The data collected by the CMS experiment in the so-called Run-II data-taking period of the LHC are used to produce an extensive set of results that test in detail the predictions of the Standard Model. Given the remarkable predictive power of the SM when including the Higgs boson, possible new physics will require even more extensive studies at higher statistics. A massive upgrade of the detectors is necessary to maintain the current physics performance in the harsh environment of the High-Luminosity LHC (HL-LHC) project, expected to start by the end of 2027. The CMS Collaboration will replace the current endcap calorimeters with a High Granularity Calorimeter (HGCAL). The HGCAL will be the very first large-scale silicon-based imaging calorimeter ever employed in a high-energy physics experiment. This book presents the results of the analysis of the test beam data collected with the first large-scale prototype of the HGCAL. The results of this analysis are used to corroborate the final design of the HGCAL and its nominal physics performance expected for the HL-LHC operations.

"Doctoral thesis accepted by École Polytechnique, Palaiseau, France."

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed April 25, 2023).

Springer theses.

Print version: 9783031268328

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