Optimization of the signal selection of exclusively reconstructed decays of B0 and B/s mesons at CDF-II

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The work presented in this thesis is mainly focused on the application in a {Delta}m{sub s} measurement. Chapter 1 starts with a general theoretical introduction on the unitarity triangle with a focus on the impact of a {Delta}m{sub s} measurement. Chapter 2 then describes the experimental setup, consisting of the Tevatron collider and the CDF II detector, that was used to collect the data. In chapter 3 the concept of parameter estimation using binned and unbinned maximum likelihood fits is laid out. In addition an introduction to the NeuroBayes{reg_sign} neural network package is given. Chapter 4 outlines the analysis steps ... continued below

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189 pages

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Doerr, Christian June 1, 2006.

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Description

The work presented in this thesis is mainly focused on the application in a {Delta}m{sub s} measurement. Chapter 1 starts with a general theoretical introduction on the unitarity triangle with a focus on the impact of a {Delta}m{sub s} measurement. Chapter 2 then describes the experimental setup, consisting of the Tevatron collider and the CDF II detector, that was used to collect the data. In chapter 3 the concept of parameter estimation using binned and unbinned maximum likelihood fits is laid out. In addition an introduction to the NeuroBayes{reg_sign} neural network package is given. Chapter 4 outlines the analysis steps walking the path from the trigger level selection to fully reconstructed B mesons candidates. In chapter 5 the concepts and formulas that form the ingredients to an unbinned maximum likelihood fit of {Delta}m{sub s} ({Delta}m{sub d}) from a sample of reconstructed B mesons are discussed. Chapter 6 then introduces the novel method of using neural networks to achieve an improved signal selection. First the method is developed, tested and validated using the decay B{sup 0} {yields} D{pi}, D {yields} K{pi}{pi} and then applied to the kinematically very similar decay B{sub s} {yields} D{sub s}{pi}, D{sub s} {yields} {phi}{pi}, {phi} {yields} KK. Chapter 7 uses events selected by the neural network selection as input to an unbinned maximum likelihood fit and extracts the B{sup 0} lifetime and {Delta}m{sub d}. In addition, an amplitude scan and an unbinned maximum likelihood fit of {Delta}m{sub s} is performed, applying the neural network selection developed for the decay channel B{sub s} {yields} D{sub s}{pi}, D{sub s} {yields} {phi}{pi}, {phi} {yields} KK. Finally chapter 8 summarizes and gives an outlook.

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189 pages

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  • Report No.: FERMILAB-THESIS-2006-41
  • Grant Number: AC02-07CH11359
  • DOI: 10.2172/907804 | External Link
  • Office of Scientific & Technical Information Report Number: 907804
  • Archival Resource Key: ark:/67531/metadc890612

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  • June 1, 2006

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  • Sept. 22, 2016, 2:13 a.m.

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  • Nov. 8, 2017, 2:35 p.m.

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Doerr, Christian. Optimization of the signal selection of exclusively reconstructed decays of B0 and B/s mesons at CDF-II, thesis or dissertation, June 1, 2006; Batavia, Illinois. (digital.library.unt.edu/ark:/67531/metadc890612/: accessed November 13, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.