以CMS 偵測器在質心質量為8TeV使用雙渺子和三秒子頻道尋找雙電荷希格斯玻色子

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研究生：	林喬穎 Chiao-ying, Lin
論文名稱：	以CMS 偵測器在質心質量為8TeV使用雙渺子和三秒子頻道尋找雙電荷希格斯玻色子 Search for the Doubly Charged Higgs Boson in dimuon and trimuon channels at \sqrt{s}=8TeV with CMS Detector
指導教授：	郭家銘 Chia-ming Kuo
口試委員:
學位類別：	碩士 Master
系所名稱：	理學院 - 物理學系 Department of Physics
論文出版年：	2013
畢業學年度：	102
語文別：	英文
論文頁數：	79
中文關鍵詞：	希格斯玻色子、微中子、渺子、大強子對撞器、緊湊渺子線圈
外文關鍵詞：	neutrino, muon, GM model
相關次數：	點閱：10 下載：0
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查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

此分析的目標為在質心能量為8TeV 的質子對撞中尋找帶雙電荷的希格斯玻色子，
並且使用在LHC 之中的CMS 偵測器所記錄到總和亮度為19.62$fb^{-1}$的數據．
此分析是基於兩種不同的最終狀態：第一個只帶有兩個同電荷的渺子而第二個
則是帶有兩個同電荷的渺子外還伴隨了一個帶相反電荷的渺子

The search for doubly charged Higgs boson production in proton-proton collision at $\sqrt{s}=$8TeV will be presented. The preliminary result is based on data recorded by the CMS experiment at the LHC and correspond to integrated luminosity of 19.62 $fb^{-1}$. The search takes advantage of two final states: one with two same-signed muons through vector boson fusion and the other one with a pair of same-signed muons accompanied by an opposite-signed muon.

Introduction and Motivation 1
1 Standard Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2 Electroweak Symmetry Breaking . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3 Neutrino Mass and Georgi-Machacek Model . . . . . . . . . . . . . . . . . . . . 10
CMS detector at LHC 13
1 Large Hardron Collider . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2 Compact Muon Solenoid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.1 Magnet System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.2 Tracker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.3 Electromagnetic Calorimeter . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.4 Hadron Calorimeter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
2.5 Muon Chamber . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
2.6 Trigger and Data Acqusition . . . . . . . . . . . . . . . . . . . . . . . . . 23
Searching Strategies 25
1 Dataset & Monte Carlo Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
2 Physics Object Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
2.1 Primary vertex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
2.2 Muon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.3 Jet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
2.4 Particle Flow Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
3 Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Background Estimation 42
1 Stanadard Model Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
2 Non-prompt background and tight-to-loose method . . . . . . . . . . . . . . . . 44
2.1 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
2.2 Result from Tight-to-Loose Method . . . . . . . . . . . . . . . . . . . . . 48
3 Systematic Uncertainties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Result and Conclusion 57

Appendices 61
.1 Variables in Preselection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
.2 Aanlysis with Mwc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

                                

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