Model Independent Search for Deviations from the Standard Model ...

More documents

Recommendations

Info

$Planungsraster FP C SoSe2013 Di. 13:30-18:00 h Gruppe \ Tag 9.4 ...$

Contents 4 The Data Sample and Object Identication 35 4.1 The Data Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2 The Set of Triggers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.3 Object Identication and Selection Cuts . . . . . . . . . . . . . . . . . . . . 37 4.3.1 Electron Candidates . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3.2 Photon Candidates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.3.3 Muon Candidates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 4.3.4 Jet Candidates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 4.3.5 Missing Transverse Energy (MET) . . . . . . . . . . . . . . . . . . . 49 5 Monte Carlo Samples 51 5.1 MC Generator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 5.2 SM-Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 5.3 Energy Scale and Smearing . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 6 Global Data-Monte Carlo Comparison 61 6.1 MC-Correction-Factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 6.1.1 χ 2 -Fit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 6.1.2 Systematic Uncertainty of the MC-Correction-Factor . . . . . . . . . 64 6.2 QCD-background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 6.3 Comparison of the Total Number of Events . . . . . . . . . . . . . . . . . . 73 6.3.1 Muon Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 6.3.2 Electron Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 7 Search Algorithm 89 7.1 Region of Interest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 7.2 General Signicance of the Deviation . . . . . . . . . . . . . . . . . . . . . . 93 7.2.1 Denition of the Estimator . . . . . . . . . . . . . . . . . . . . . . . 93 7.2.2 The Principle of Dicing Data . . . . . . . . . . . . . . . . . . . . . . 94 8 Systematic Uncertainties 97 8.1 MC-Correction-Factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 8.2 MC Cross Section Uncertainty. . . . . . . . . . . . . . . . . . . . . . . . . . 98
Contents 8.3 QCD-Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 8.4 Energy Scale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 8.5 Smearing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 8.6 Summary of the Dierent Contributions . . . . . . . . . . . . . . . . . . . . 103 9 Results and Interpretation 105 9.1 Muon Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 9.2 Electron Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 10 Conclusion 127
Page 1: Model Independent Search for Deviat
Page 7 and 8: Introduction Science attempts to de
Page 10 and 11: 4 The Theoretical Foundations 1.1.2
Page 12 and 13: 6 The Theoretical Foundations e - e
Page 14 and 15: 8 The Theoretical Foundations Figur
Page 16 and 17: 10 The Theoretical Foundations Figu
Page 18 and 19: 12 The Theoretical Foundations 1.3
Page 20 and 21: 14 The Theoretical Foundations cont
Page 22 and 23: 16 Tevatron and the DØ-Detector Fi
Page 28 and 29: 22 Tevatron and the DØ-Detector 1/
Page 30 and 31: 24 Tevatron and the DØ-Detector 2.
Page 32 and 33: 26 Tevatron and the DØ-Detector of
Page 35 and 36: Chapter 3 The Concept of Model Inde
Page 37 and 38: 3.2. Concept 31 viations from SM. T
Page 39: 3.2. Concept 33 cal problem as many
Page 42 and 43: 36 The Data Sample and Object Ident
Page 50 and 51: muon_trackchi_pt_py Entries 5727 mu
Page 54 and 55:
jet_eta_phi_px Entries 29768 Mean j
Page 57 and 58:
Chapter 5 Monte Carlo Samples 5.1 M
Page 59 and 60:
5.1. MC Generator 53 Figure 5.3: Sc
Page 61 and 62:
5.2. SM-Processes 55 SM-process (M
Page 63 and 64:
5.3. Energy Scale and Smearing 57 J
Page 65:
5.3. Energy Scale and Smearing 59 e
Page 68 and 69:
62 General Data↔MonteCarlo Compar
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
90 Search Algorithm oer sucient sen
Page 98 and 99:
92 Search Algorithm probability 0.0
Page 100 and 101:
94 Search Algorithm 7.2.2 The Princ
Page 103 and 104:
Chapter 8 Systematic Uncertainties
Page 105 and 106:
8.3. QCD-Background 99 Whendicingda
Page 107 and 108:
8.5. Smearing 101 Here N j i (σ+ )
Page 109:
8.6. Summary of the Different Contr
Page 112 and 113:
106 Results and Interpretation Figu
Page 114 and 115:
108 Results and Interpretation Even
Page 116 and 117:
110 Results and Interpretation even
Page 118 and 119:
112 Results and Interpretation Anat
Page 120 and 121:
114 Results and Interpretation To c
Page 122 and 123:
116 Results and Interpretation Resu
Page 124 and 125:
Page 126 and 127:
120 Results and Interpretation Even
Page 128 and 129:
Page 130 and 131:
124 Results and Interpretation Resu
Page 133 and 134:
Chapter 10 Conclusion In this diplo
Page 135 and 136:
Appendix A Trigger Denitions Electr
Page 137:
131 Muon-triggers for lists up to v
Page 140 and 141:
134 Bibliography [19] A. Aktas et a
Page 143 and 144:
Acknowledgements So, the end is nea
show all

Model Independent Search for Deviations from the Standard Model ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?