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First Differential Measurements of tZq Production and Luminosity Determination Using Z Boson Rates at the LHC [Hardcover]

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  • Category: Books (Science)
  • Author:  Walter, David
  • Author:  Walter, David
  • ISBN-10:  3031509307
  • ISBN-10:  3031509307
  • ISBN-13:  9783031509308
  • ISBN-13:  9783031509308
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  3031509307-11-MING
  • SKU:  3031509307-11-MING
  • Pages:  194
  • Pages:  194
  • Item ID: 107026473
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Sep 27 to Sep 29
  • Notes: Brand New Book. Order Now.
This thesis describes two groundbreaking measurements in the precision frontier at the LHC: the first ever differential measurement of the Z-associated single top quark (tZq) production, and the luminosity measurement using Z boson production rate for the first time in CMS. Observed only in 2018, the tZq process is of great importance in probing top quark electroweak couplings. These couplings are natural places for new phenomena to happen in the top quark sector of the standard model. Yet, they are the least explored directly. One has to obtain a firm understanding of the modeling of sensitive distributions to new top-Z interactions. The present analysis marks a major milestone in this long-term effort. All distributions relevant for new phenomena, and/or modeling of tZq, are studied in full depth using advanced Machine Learning techniques.The luminosity and its uncertainty contributes to every physics result of the experiment. The method minutely developed in this thesis provides a complementary measurement that results in a significant overall reduction of uncertainties.

Introduction.- Theoretical Foundations of Single Top Quark Physics at the LHC.- The CMS Experiment at the LHC.-  Luminosity Determination Using Z Boson Production.- Measurements of Single Top Quark Production in Association With a Z Boson. Summary and conclusions.

I studied physics at KIT in Karlsruhe, Germany with the main subjects on theoretical particle physics, experimental particle physics, and data analysis. In summer 2017 I joined the CMS experiment to work for my master's thesis project on improvements in deep neural network algorithms for the identification of jets with b quarks. I showed that by using novel machine learning techniques based on domain adaptation the difference between data and simulation can be mitigated. Afterward, I moved to Hamburg where I started my PhD at the DESY research center. My main project was the analysis of proton-proton collision ló#
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