在與希格斯玻色子有關聯的暗物質搜索中去測量深度雙底夸克標記校正因子的誤判率

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菲莎(Fasya Khuzaimah) 查詢紙本館藏

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在與希格斯玻色子有關聯的暗物質搜索中去測量深度雙底夸克標記校正因子的誤判率
(Measurement of Mistagging Scale Factor of the Deep Double b-Tagger in the Search for Dark Matter in Association with a Higgs Boson)

相關論文

★ 7 TeV 和2.76 TeV 質子對撞下，光子散射截面積的測量	★ Search for Pair Production of t*-> t + photon : Estimation of Photon Purity and Study of the Top and W Mass Resolution
★ 以大型強子對撞機裡的緊湊渺子線圈偵測器尋找重夸克在半輕子頻道衰變成頂夸克和光子	★ Search for Z′→Zh→llbb in pp Collisions at √s =8 TeV Using the CMS Detector at the LHC
★ Search for heavy resonances decaying into a Z boson and a Higgs boson in the 2l2b final state in pp collisions at √s = 13 TeV	★ 從質子質子對撞在質量中心能量 13 兆電子伏特利用緊湊渺子偵測器尋找重粒子衰變到一對希格斯粒子於四個底夸克最終態
★ Study of the b-tagging Scale Factor using the tt ̅ Events from pp collisions at √s =13 TeV with the CMS Detector	★ 在大型強子對撞機的緊湊渺子線圈偵測器，使用13兆電子伏特的質子-質子對撞尋找會衰變到一對希格斯玻色子且最終狀態為四個底夸克的重共振態
★ 在緊湊渺子線的質心對撞能量為 13 兆電子伏特的數據裡, 用字母法輔以突起搜尋之方法來尋找類 Z 玻色子衰變為 Z 玻色子及希格斯粒子在衰變為輕子與底垮克	★ The Study of the Di-Higgs Production via Vector Boson Fusion Channel for the Phase II CMS at √? =14 TeV
★ 於尋找單希格斯粒子中研究噴流子結構可觀測量	★ The analysis of the TASEH CD102 data
★ 找尋具有長生命週期新粒子的物理模型所預測的暗物質	★ Toward discovering the low-mass dark matter: Constraints on Searches of Low-mass Weakly Interacting Massive Particle (WIMP) with Earth Attenuation Effect incorporated && Exploring the physics of germanium internal amplification for low-energy detection

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摘要(中)

超過26％的宇宙總能量密度來自暗物質的貢獻。然而，暗物質的性質仍是未知的並且無法用當前理論解釋。藉由來自緊湊緲子線圈質心能量為13兆電子伏特且41.5 fb^-1 總亮度的質子-質子碰撞數據，搜索暗物質與一個會衰減成一對底夸克的希格斯玻色子生成的成果將會被呈現。信號事件被標記為巨大的遺失橫向動量且正對著一對底夸克。然而，許多背景事件可以模仿真實信號並通過信號甄選。藉由比較模擬跟真實數據中背景事件通過底夸克標記甄選的比例，可以測量來自被判定為信號事件的背景事件的機率的校正因子。以此計算統計和系統不確定度的校正因子。

摘要(英)

More than 26% of the total energy density of the universe is composed of dark matter (DM). However, the properties of DM are still unknown and cannot be explained with the present information. A search for the DM produced in the presence of a Higgs boson decaying into a pair of bottom quarks is performed using proton-proton collision data collected at a center-of-mass energy of 13 TeV by CMS corresponding to an integrated luminosity of 41.5 fb^-1. The signal events are identified as a large missing transverse momentum recoiling against a pair of bottom quarks. However, many backgrounds can mimic this real signal and pass the signal selection. A scale factor of the possibility in detecting background events as signal events is measured by comparing the efficiency of background events passing b-tagging selection in the data and the simulation. Both statistical and systematic uncertainties on the scale factors are obtained.

關鍵字(中)

★ 暗物質
★ 希格斯玻色子
★ 夸克
★ 緊湊緲子線圈
★ 大型強子對撞機
★ 誤判率

關鍵字(英)

★ Dark matter
★ Higgs Boson
★ Quark
★ Compact Muon Solenoid
★ Large Hadron Collider
★ Mistagging scale factor

論文目次

1 Introduction and Theory Overview 1
1.1 IntroductionandMotivation...................... 1
1.2 Theory .................................. 3
1.2.1 StandardModelParticles ................... 3
1.2.2 2HDMPlusPseudoscalaraExtensions . . . . . . . . . . . 4
1.2.2.1 TwoHiggsDoubletsModel ............ 5
1.2.2.2 Type-IITwoHiggsDoubletsModel........ 7
1.2.2.3 Type-II2HDM+a................... 9
1.2.2.4 Alignment/DecouplingLimit........... 10
1.2.2.5 HeavyPseudoscalarA ............... 10
1.2.2.6 LightPseudoscalara ................ 12
2 Experimental Apparatus: the LHC and the CMS Detector 15
2.1 LargeHadronCollider ......................... 15
2.2 CompactMuonSolenoid........................ 16
2.2.1 CMSCoordinateSystem.................... 16
2.2.2 SuperconductingMagnetSystem............... 17
2.2.3 InnerTrackingDetector .................... 18
2.2.3.1 PixelTracker ..................... 19
2.2.3.2 SiliconStripTracker................. 21
2.2.4 ElectromagneticCalorimeter ................. 23
2.2.5 HadronCalorimeter ...................... 24
2.2.6 MuonDetector ......................... 25
2.2.7 TriggerSystem ......................... 27
2.2.7.1 Level1TriggerSystem ............... 28
2.2.7.2 HighLevelTriggerSystem............. 28
3 Event Reconstruction 31
3.1 PrimaryVertexReconstruction .................... 31
3.2 Particle-FlowAlgorithm ........................ 32
3.3 PileupReconstruction ......................... 33
3.3.1 PUPPIAlgorithm........................ 33
3.3.2 CHSAlgorithm......................... 35
3.4 pTmiss Reconstruction............................ 35
3.5 JetsReconstructionandHiggsTagging. . . . . . . . . . . . . . . . 36
3.6 LeptonIdentification .......................... 38
3.7 EventSelection ............................. 39
4 Analysis Strategy 41
4.1 DataSetsandMonteCarloSamples ................. 42
4.1.1 DataSets............................. 42
4.1.2 MonteCarloSamples ..................... 42
4.2 Selection ................................. 43
4.2.1 DeepDoubleb-Tagger..................... 43
4.2.2 SignalSelection......................... 45
4.3 DataandMonteCarloComparison.................. 46
4.4 BackgroundEstimation......................... 48
5 Results, Systematic Uncertainty, and Discussion 53
5.1 Mistagging Scale Factor of the Deep Double b-Tagger . . . . . . . 53
5.2 SystematicUncertainty......................... 55
5.2.1 IntegratedLuminosity..................... 55
5.2.2 The Cross Sections of the Monte Carlo Samples . . . . . . 55
5.3 FinalResultsandDiscussion...................... 57
6 Conclusion and Outlook 63
6.1 Conclusion................................ 63
6.2 Outlook.................................. 63
Bibliography 65
A 73
A.1 DeepDoubleb-TaggerOptimization................. 73

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指導教授

余欣珊(Shin-Shan Yu)

審核日期

2021-1-20

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