Study of the b-tagging Scale Factor using the tt ̅ Events from pp collisions at √s =13 TeV with the CMS Detector

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姓名

黃寘耕(Ji-Kong Huang) 查詢紙本館藏

畢業系所

物理學系

論文名稱

(Study of the b-tagging Scale Factor using the tt ̅ Events from pp collisions at √s =13 TeV with the CMS Detector)

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摘要(中)

源於b夸克所產生的粒子流(稱為b粒子流)，在新物理的研究與探索過程中扮演著不可或缺的角色。其出現於許多重要的物理過程中，分析家使用所謂的「b標記演算法」來辨識之。本研究所選用的樣本，富含 tt ̅ 粒子的半輕子衰變事件，接著比較模擬事件與所觀察到的數據中幾項與粒子運動有關的變數分布，並使用FTC方法估算b標記演算法的效率與誤判率。本研究所採用的數據，來自於2015年質子對的對撞，其對撞總能量為13TeV，總亮度為2.1 fb-1.

摘要(英)

The jets originated from b quark (b-jets) play a significant role in new physics researches. They show up in many important physical processes and we use the so-called b-tagging algorithm to identify them. This study select a sample enriched with tt ̅ semileptonically decayed events and compare various kinematic distributions in Monte Carlo simulation sample and the data, further use the FTC method to calculate the b-tagging scale factor and mis-tag rates. The data used in this study were recorded in 2015 from pp collisions at s = 13TeV and correspond to an integrated luminosity of 2.1 fb-1.

關鍵字(中)

★ 高能物理
★ b夸克
★ 緊湊緲子線圈
★ b標記演算法

關鍵字(英)

★ b-tagging
★ FTC
★ CMS

論文目次

Chapter 1 Introduction and Standard Model 1
1.1 Introduction 1
1.2 The Standard Model 1
1.2.1 Elementary fermions 2
1.2.2 Elementary bosons and fundamental forces 4
Chapter 2 The LHC and CMS detector 6
2.1 Large Hadron Collider 6
2.2 Compact Muon Solenoid 8
2.2.1 the coordinate system of CMS 9
2.2.2 The Silicon Tracker 9
2.2.3 The Electromagnetic Calorimeter 11
2.2.4 The Hadronic Calorimeter 13
2.2.5 The Magnet system 14
2.2.6 The Muon Chamber 14
2.3 The Trigger System 16
2.3.1 Level 1 Trigger 16
2.3.2 High Level Trigger 17
Chapter 3 Event Reconstruction 18
3.1 Physic Particles Reconstruction 18
3.1.1 Track reconstruction 19
3.1.2 Electron reconstruction 21
3.1.3 Muon reconstruction 23
3.1.4 Jet reconstruction 25
3.1.5 Reconstruction of missing transverse momentum 29
3.2 Primary vertex Reconstruction 29
Chapter 4 The b-tagging algorithm and the FTC Method 31
4.1 B-tagging algorithm 31
4.1.1 Track selection and secondary vertex reconstruction 32
4.1.2 The combined secondary vertex algorithm 35
4.2 performance of b-tagging algorithm 37
4.3 The flavor tag consistency method 39
Chapter 5 The Analysis and Results 41
5.1 The Monte Carlo simulation and data sample 41
5.1.1 The Monte Carlo sample 41
5.1.2 The data sample 45
5.2 tt semileptonic event selection 45
5.2.2 Jet selection 46
5.2.3 Event selection 47
5.3 data and MC comparison 49
5.4 Scale factor of B-tagging efficiency and mis-tag rate 56
5.5 Systematic uncertainties 58
5.5.1 Sources of systematic uncertainties on MC 58
5.5.2 Sources of systematic uncertainties on data 60
Chapter 6 Conclusion and outlook 61
6.1 Conclusion 61
6.2 Outlook 61
Bibliography 62

參考文獻

[1] B.R. Martin and G. Shaw. “Particle Physics”. 2008.
[2] Lyndon Evans and Philip Bryant. “LHC machine”. JINST 3, 2008.
[3] S. Chatrchyan et al. “The CMS experiment at the CERN LHC”. JINST, 3:S08004, 2008.
[4] CMS Collaboration, “CMS Physics TDR: Volume 1, Detector Performance and Software”, CERN/LHCC 2006-001, 2006.
[5] https://twiki.cern.ch/twiki/bin/viewauth/CMS/EgCommissioningAndPhysicsDeli verables.
[6] Ryan Atkin. “Review of jet reconstruction algorithms”. Journal of Physics: Conference Series 645 (2015) 012008, 2015.
[7] The CMS Collaboration. “Performance of the CMS missing transverse momentum reconstruction in pp data at s = 8 TeV”. CMS-JME-13-003, CMS, 2015.
[8] K. Rose, “Deterministic Annealing for Clustering, Compression, Classification, Regression and related Optimisation Problems”, Proceedings of the IEEE 86 (1998), 11 1998.
[9] W.Waltenberger, “Adaptive Vertex Reconstruction”, Technical Report CMS-NOTE-2008-033, CERN, 07 2008.
[10] R. Fr ¨ uhwirth,W. Waltenberger, and P. Vanlaer, “Adaptive Vertex Fitting”, Technical Report CMS-NOTE-2007-008, CERN, 05 2007.
[11] CMS Collaboration, “Measurement of BB- Angular Correlations based on Secondary Vertex Reconstruction at s = 7 TeV”, JHEP 03 (2011) 136, 2011.
[12] CMS Collaboration, “Identification of b-quark jets with the CMS experiment”, JINST 8 (2013) P04013, 08 2013.
[13] CMS Collaboration, “Identification of b quark jets at the CMS Experiment in the LHC Run 2”, CMS PAS BTV-15-001, 05 2016.
[14] Carlo Oleari, “The POWHEG-BOX”, 7 2010. arXiv: 1007.3893 [hep-ph].
[15] Torbjorn Sjostrand, Stephen Mrenna, and Peter Skands. “A Brief Introduction to PYTHIA 8.1”. 10 2007. arXiv: 0710 .3820v1 [hep-ph].
[16] Johan Alwall, Michel Herquet, Fabio Maltoni, Olivier Mattelaer and Tim Stelzer, “MadGraph 5: going beyond”, JHEP, 7 2011. arXiv:1106.0522v1 [hep-ph].
[17] J. Alwall et al., “The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations”, JHEP, 07 2014.
[18] https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideMuonIdRun2#Muon_Isolati on
[19] https://twiki.cern.ch/twiki/bin/viewauth/CMS/JetID
[20] https://twiki.cern.ch/twiki/bin/view/CMS/MissingETOptionalFilters
[21] https://twiki.cern.ch/twiki/bin/viewauth/CMS/DMAnalysis
[22] The CMS Collaboration. “Determination of Jet Energy Calibration and Transverse Momentum Resolution in CMS”, JINST 6 (2011) P11002, 2011.

指導教授

余欣珊(Shin-Shan Eiko Yu)

審核日期

2017-7-28

推文