Search for the Higgs Boson Produced in Association with Top Quarks with the CMS Detector at the Lhc

ISBN-13: 9783030902056 / Angielski / Twarda / 2022 / 300 str.

Cristina Martin Perez

Spis treści

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.

O autorze

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).

Blurb

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.