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Search for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the LHC: Springer Theses

Autor Cristina Martin Perez
en Limba Engleză Paperback – 10 feb 2023
In this work, the interaction between the Higgs boson and the top quark is studied with the proton-proton collisions at 13 TeV provided by the LHC at the CMS detector at CERN (Geneva).
At the LHC, these particles are produced simultaneously via the associate production of the Higgs boson with one top quark (tH process) or two top quarks (ttH process). Compared to many other possible outcomes of the proton-proton interactions, these processes are very rare, as the top quark and the Higgs boson are the heaviest elementary particles known. Hence, identifying them constitutes a significant experimental challenge. A high particle selection efficiency in the CMS detector is therefore crucial. At the core of this selection stands the Level-1 (L1) trigger system, a system that filters collision events to retain only those with potential interest for physics analysis. The selection of hadronically decaying τ leptons, expected from the Higgs boson decays, is especially demanding due to the large background arising from the QCD interactions. The first part of this thesis presents the optimization of the L1 τ algorithm in Run 2 (2016-2018) and Run 3 (2022-2024) of the LHC. It includes the development of a novel trigger concept for the High-Luminosity LHC, foreseen to start in 2027 and to deliver 5 times the current instantaneous luminosity. To this end, sophisticated algorithms based on machine learning approaches are used, facilitated by the increasingly modern technology and powerful computation of the trigger system.
The second part of the work presents the search of the tH and ttH processes with the subsequent decays of the Higgs boson to pairs of τ lepton, W bosons or Z bosons, making use of the data recorded during Run 2. The presence of multiple particles in the final state, along with the low cross section of the processes, makes the search an ideal use case for multivariant discriminants that enhance the selectivity of the signals and reject the overwhelming background contributions. The discriminants presented are built using state-of-the-art machine learning techniques, able to capture the correlations amongst the processes involved, as well as the so-called Matrix Element Method (MEM), which combines the theoretical description of the processes with the detector resolution effects. The level of sophistication of the methods used, along with the unprecedented amount of collision data analyzed, result in the most stringent measurements of the tH and ttH cross sections up to date.
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Specificații

ISBN-13: 9783030902087
ISBN-10: 3030902080
Ilustrații: XIII, 283 p. 170 illus., 158 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Physics of the Higgs Boson and the Top Quark.- The CMS Experiment at the LHC.- Performance and Optimization of the Level-1 Tau Trigger.- Development of a Level-1 Tau Trigger for the HGCAL Detector in the HL-LHC.- Search for the ttH and tH processes in Multileptonic Final States.- Extraction of the ttH and tH Signals With Machine Learning Techniques.- Extraction of the ttH Signal with the Matrix Element Method.- Conclusions.

Notă biografică

I am a journalist and particle physicist originally from Spain. I studied for the Bachelor of Science in Physics at the University Complutense of Madrid (Spain) and the Double Bachelor of Journalism and Media at University Carlos III of Madrid (Spain). I did a Master of Science in High Energy Physics at ETH Zurich (Switzerland) and Ecole Polytechnique Paris (France). I completed my PhD in experimental particle physics with the CMS experiment at the Laboratoire Leprince-Ringuet at Ecole Polytechnique Paris (France). I have worked on data analysis, trigger developments and radiation hardness for calorimetry in the CMS experiment, as well as on accelerator physics at DESY (Germany) and science communication for the FCC design study at CERN (Switzerland). I have taught particle physics laboratory courses to students from Ecole Polytechnique Paris (France) and ETH Zurich (Switzerland). I am currently working as postdoctoral researcher in the Mu3e experiment at PSI (Switzerland) at ETH Zurich (Switzerland).

Textul de pe ultima copertă

In this book, the interaction between the Higgs boson and the top quark is studied with the CMS detector at the LHC via the search for the associate production of the Higgs boson with one (tH) or two (ttH) top quarks. These processes are very rare and thus a high particle selection efficiency by the trigger system is essential. The selection of hadronically decaying tau leptons, expected from the Higgs boson decays, is tackled in the first part, where the trigger is optimized for Run 2 and Run 3 and a novel machine-learning based trigger for the High-Luminosity LHC is developed. The second part presents the analysis of tH and ttH where the Higgs boson decays into tau leptons, W or Z bosons with Run 2 data. The presence of multiple particles in the final state leads to the use of multivariant discriminants based on machine learning and the Matrix Element Method. The sophisticated methods used and the unprecedented amount of data result in the most precise cross section measurements to date.

Caracteristici

Nominated as an outstanding PhD thesis by CERN's CMS Collaboration
Includes outstanding contributions to modern particle physics summarised in a clear and pedagogical manner
Uses advanced machine learning techniques to identify very rare experimental processes