Title: Differential studies of vector boson plus jet and Higgs production with data from the CMS experiment
Abstract: This PhD thesis summarizes the work performed in the context of the ETH high-energy physics group in the CMS experiment at CERN’s Large Hadron Collider. The relevant theoretical framework is briefly described, starting with an introduction to the Standard Model and to the Monte Carlo techniques used to obtain numerical results. The main aspects of the Large Hadron Collider and of the CMS experiment are discussed, together with the reconstruction of physics objects, in order to characterize the final state of proton-proton collisions in terms of types of particles produced, their energy, momenta, charges and further properties. Then a description of the Z+jet angular correlation and event-shapes analysis at 7TeV is presented, starting from the selection up to the extraction of the results. With the higher luminosity available at 8TeV, the efforts then focused on the differential Z+jet over photon+jet cross-section ratio and on the differential cross-section for Higgs boson production, using the diphoton decay channel. These analyses take advantage of the knowledge learnt in the discovery of the Higgs boson, extending the extraction of the results to differential distributions, and of the expertise on Z boson and photon reconstruction developed in the 7TeV analysis within the ETH-IPP group. Finally, a brief presentation of object reconstruction studies and of a hardware research and development project are presented in the appendix sections. A discriminator capable of distinguishing between quarkand gluon-initiated jets, its performances in 8TeV data and a way to evaluate systematics uncertainties are presented and the development of a new data acquisition system, used in test beam in the CERN H4 area to study new prototypes for the future upgrade of the forward electromagnetic calorimeter of CMS is described.
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
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Cited By Count: 1
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