Cecilia Tosciri

Higgs Boson Decays into a Pair of Bottom Quarks (eBook, PDF)

Observation with the ATLAS Detector and Machine Learning Applications

• Format: PDF

Produktbeschreibung

This thesis presents the analysis that led to the observation of the Standard Model (SM) Higgs boson decay into pairs of bottom quarks. The analysis, based on a multivariate strategy, exploits the production of a Higgs boson associated with a vector boson. The analysis was performed on a dataset corresponding to a luminosity of 79.8/fb collected by the ATLAS experiment during Run-2 at a centre-of-mass energy of 13 TeV. An excess of events over the expected background is observed in a combination with complementary Hbb searches.

The analysis was extended to provide a finer interpretation of the signal measurement. The cross sections of the V H(H ¿ bb) process have been measured in exclusive regions of phase space and used to search for deviations from the SM with an effective field theory approach. The results are discussed in this book.

A novel technique for the fast simulation of the ATLAS forward calorimeterresponse is also presented. The new technique is based on similarity search, a branch of machine learning that enables quick and efficient searches for vectors similar to each other.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 159
• Erscheinungstermin: 22. Oktober 2021
• Englisch
• ISBN-13: 9783030879389
• Artikelnr.: 62802616

Autorenporträt

Cecilia Tosciri received her Master in Physics in 2016 from the University of Pisa (Italy). For her Master's thesis research, she was based at the Fermi National Accelerator Laboratory (Batavia, USA), working on a refined measurement of the top quark mass with the CDF experiment. She then obtained her PhD in Particle Physics from the University of Oxford in 2020. During the PhD, her research with the ATLAS experiment at CERN was focused on the measurement of the Higgs boson properties. As a Marie Sklodowska-Curie fellow, she was also involved in an Innovative Training Network of the European Commission's H2020 Program, focused on machine learning techniques for data analysis in particle physics. Her PhD thesis was recognised with the 2020 ATLAS Thesis Award. She is currently a postdoctoral researcher at the University of Chicago (USA), and her research interests range from the commissioning of the new trigger system in ATLAS to the search for hints of New Physics.

Inhaltsangabe

Introduction.- Theoretical Introduction.- Machine Learning.- The LHC and the ATLAS Detector.- Physics Object Reconstruction.