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姓名	賴培築(Pei-Zhu Lai)  查詢紙本館藏	畢業系所	物理學系
論文名稱	nono (Jet performance at the Circular electron-positron Collider)
相關論文	★ 利用CMS探測器量測7TeV下的Zγ產生截面 ★ 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 ★ 在質子對撞能量8TeV下尋找具有雙電子雙渺子末態的激發態輕子 ★ Measurement of Zγ production in 5 fb-1 of pp collisions at √s = 7 TeV with the CMS detector ★ Search for a Higgs boson decaying into γ∗γ → eeγ in pp collisions at √s = 8 TeV with the CMS detector ★ Measurement of Z boson production in the electron decay channel in p+Pb collisions at √sNN = 5.02 TeV with the CMS detector ★ 火花偵測器的製成 ★ Search for the production of two Higgs bosons in the final state with two photons and two b quarks in proton-proton collision at √s = 13 TeV ★ Search for Exotic Decay of A Higgs Boson into A Dark Photon and a Standard Model Photon in pp Collisions at √s = 13 TeV ★ Search for a Higgs boson decay into γ*γ→μμγ in pp collisions at √s = 13 TeV ★ Search for the rare decays of Z and Higgs bosons to J/ψ plus photon at √s = 13 TeV ★ Measurement of Zγ production cross section in pp collisions at sqrt(s) = 13 TeV with the CMS detector ★ Search for H→Zγ→bbγ produced in association with a Z boson in proton-proton collisions at √s = 13 TeV with the CMS detector at the LHC ★ TCAD simulation of silicon detector ★ Assembly and Beam Test Analysis of sPHENIX INTT Detector ★ 研究 Dalitz Higgs 的 Muon 效率用於 Run II 和多變量電子用於 CMS 的 Run III
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摘要(中)	本篇論文旨在量化在未來環形正負電子對撞機(CEPC)上噴流重建表現，一致且高精準度的噴流重建表現將可以在多重噴流末態事例裡，為物理特性的測量提供一個穩固的支撐。噴流事例的重建倚賴於噴流簇團演算法；我們在兩噴流事例，在使用thrust-based演算法後觀察到相較於ee-kt演算法有20%的噴流能量、角度解析度的提升。經過完整的模擬，環形正負電子對撞機上的的微分噴流能量與角度解析度已從91.18和240億電子伏特(GeV)正負電子對撞能量下的所有基準二、四噴流事例中汲取出來。通常來說，相對能量/角度解析度在桶部 (barrel) (|cos?|<0.7)落在大約3-5.5% / 1-2%；對於所有基準二、四噴流事例，這兩個解析度對於角度的依賴都被控制在±1%之間。如果將環形正負電子對撞機上噴流能量解析度與大強子對撞機(LHC)做比較，在重疊的能量區間內（10 < Ej < 30 GeV）的環形正負電子對撞機上噴流能量解析度比大強子對撞機上之偵測器好近5倍之多。根據這些與微分能量、角度、風味依賴的噴流能量相對偏差對於重波色子衰變到噴流末態的質量校正可以達到10萬電子伏特(MeV)精準等級。
摘要(英)	We present the jet reconstruction performances at the Circular Electron Positron Collider (CEPC) in this thesis. Consistency of high precision jet responses will provide a concrete support for the physical measurements in multi-jet final- states. The jet responses depend on the jet clustering algorithm, we observed an improvement of 20% of jet energy and angular resolutions with respect to baseline jet clustering algorithm, ee-kt, by using the thrust based algorithm on 2-jet event. The differential jet energy and angular resolutions of the CEPC base- line detector are extracted from benchmark 2/4-jet processes at 91.18 and 240 GeV using fully simulated data. Typically, relative energy/angular resolutions at the barrel region (|cosθ| < 0.7) are 3-5.5%/1-2%, the geometry dependences of both jet reconstructed energy/angular scale are controlled within ±1%, for both 2- and 4-jet events. If compared to the experiments at the LHC, the CPEC base- line detector would have up to 5 times better jet reconstruction resolution in the 10 < Ej < 30 GeV. Base on differential jet angluar, energy, and flavor to apply jet differential energy correction, the uncertainty of the massive boson masses could be calibrated down to 10 MeV precision level.
關鍵字(中)	★ 環形正負電子對撞機 ★ 噴流重建	關鍵字(英)	★ CEPC ★ Jet performance
論文目次	1 Introduction 1 1.1 FutureColliders............................. 1 1.1.1 The Production of the Higgs Boson and its Decays . . . . . 4 1.2 Overviews of the Physics Case for CEPC. . . . . . . . . . . . . . . 11 1.3 Jet Reconstruction Performance.................... 21 1.4 W-boson Mass Measurement ..................... 23 2 Experimental Apparatus 31 2.1 The Baseline Conceptual Detector................... 31 2.2 Event Simulation ............................ 46 2.3 Event Reconstruction.......................... 48 2.3.1 Tracking Performance ..................... 48 2.3.2 Particle-FlowAlgorithm, Arbor................ 51 2.3.3 Jet Clustering Algorithm.................... 55 2.4 Object Reconstruction ......................... 58 2.4.1 Leptons ............................. 58 2.4.2 Photons ............................. 62 2.4.3 Tau Leptons........................... 64 2.4.4 Jet Flavor Tagging ....................... 64 2.4.5 Missing Energy, Momenta, andMass . . . . . . . . . . . . 67 2.4.6 Charged Kaon Identification ................. 67 3 Methodology of Measurement of the Jet Energy/Angular Resolution and Scale 4 Results 75 4.1 Baseline Differential Jet Energy/Angular Resolution and Scale . . 75 4.1.1 Differential Jet Energy Resolution and Scale . . . . . . . . 75 4.1.2 Differential Jet Angular Resolution and Scale . . . . . . . . 80 4.2 Thrust Differential Jet Energy/Angular Resolution and Scale . . . 82 4.2.1 Differential Jet Energy Resolution and Scale . . . . . . . . 82 4.2.2 Differential Jet Angular Resolution and Scale . . . . . . . . 84 4.3 BosonMassResolutionandScale................... 85 4.3.1 BosonMassResolution .................... 85 4.3.2 W-bosonMassMeasurement ................. 88 4.4 Diboson Full Hadronic Final State Separation . . . . . . . . . . . . 95 5 Conclusion 101 A Collecting Efficiency 103 A.1 EffectiveCrossSection ......................... 104 A.2 Each Visible Particle Angular Distributions . . . . . . . . . . . . . 107 A.3 Particle Collecting Efficiency...................... 110 A.4 Energy Collecting Efficiency...................... 111 A.5 Significance of BenchmarkZ(→νν)H ................ 112 B Kinematic Distribution 115 B.1 TwoJetsEvents ............................ 119 B.2 FourJetsEvents ............................ 135 C Cleaned Selection 147 D Additional materials for the matching study 155 D.1 Two Jets Events ............................. 156 D.2 Four Jets Events............................. 162 E Additional Materials for the JER/JAR/JES/JAS 181 E.1 JAR/S,ee-kt............................... 182 E.2 JAR/S,Thrust .............................. 188 E.3 JER/S,ee-kt ............................... 194 E.4 JER/S,Thrust .............................. 197 F B-jet Energy Regression 201 F.1 Training Variable of Leading Jet.................... 202 F.2 Training Variable of Sub-leading Jet ................. 204 F.3 Validation ................................ 206 Bibliography ........................... 209
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指導教授	郭家銘(Chia-Ming Kuo)	審核日期	2020-7-29
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