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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 王名儒(Min-Zu Wang) | |
dc.contributor.author | Kai-Jen Tien | en |
dc.contributor.author | 田凱仁 | zh_TW |
dc.date.accessioned | 2021-06-16T13:35:29Z | - |
dc.date.available | 2013-07-31 | |
dc.date.copyright | 2013-07-31 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-07-17 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/62234 | - |
dc.description.abstract | 本篇論文提出B介子經由 B- → p pbar l nubar (l=e,μ) 半輕子與雙重子途徑衰變之證據。實驗數據為日本高能加速器研究機構 B 介子工廠 (KEKB) 之Belle 偵測器在能量不對稱之電子正子對撞機中所收集,來自 Υ(4S) 共振態衰變的 772 百萬 B Bbar 介子對。本實驗並應用以神經網路演算法為基礎建構之強子標籤法提升衰變分析的效率。我們量測到 B- → p pbar l nubar 的分支比為 [5.8_(-2.1)^(+2.4) (統計誤差)±0.9(系統誤差)]×10^(-6),並得到 3.2 個標準差之顯著度。同時,我們也估計了 B- → p pbar l nubar 分支比在 90% 信心水準下的上限值為 9.6×10^(-6)。此量測結果對於 B 介子衰變重子躍遷形狀因子之限制條件有所幫助,相關主題亦值得於新一代 B 介子工廠與 Belle II 實驗中進行後續研究。 | zh_TW |
dc.description.abstract | We find evidence for the semileptonic baryonic decay B- → p pbar l nubar (l=e,μ), based on a data sample of 772 million $B ar B$ pairs collected at the Upsilon(4S) resonance with the Belle detector at the KEKB asymmetric-energy electron-positron collider. A neural-network based hadronic $B$-meson tagging method is used in this study. The branching fraction of B- → p pbar l nubar is measured to be [5.8_(-2.1)^(+2.4) (stat.)±0.9(syst.)]×10^(-6) with a significance of 3.2 sigma, where lepton universality is assumed. We also estimate the corresponding upper limit: B(B- → p pbar l nubar) < 9.6×10^(-6) at the 90% confidence level. This measurement helps constrain the baryonic transition form factor in B decays. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T13:35:29Z (GMT). No. of bitstreams: 1 ntu-102-R97222014-1.pdf: 22106426 bytes, checksum: 6d196a7beb4210b3baa2eee3e23389db (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | 1 Introduction 1
1.1 Standard Model . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 CKM Matrix . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.2 CP Violation . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 B Physics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Full Reconstruction Tagging Method . . . . . . . . . . . . . . 7 1.4 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2 Belle Experiment 11 2.1 KEKB Accelerator . . . . . . . . . . . . . . . . . . . . . . . . 12 2.2 Belle Detector . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2.1 Beam Pipe . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2.2 Silicon Vertex Detector (SVD) . . . . . . . . . . . . . . 18 2.2.3 Extreme Forward Calorimeter (EFC) . . . . . . . . . . 21 2.2.4 Central Drift Chamber (CDC) . . . . . . . . . . . . . . 22 2.2.5 Aerogel ˇCherenkov Counter (ACC) . . . . . . . . . . . 23 2.2.6 Time of Flight (TOF) . . . . . . . . . . . . . . . . . . 24 2.2.7 Electromagnetic Calorimeter (ECL) . . . . . . . . . . . 27 2.2.8 KL and Muon Detection System (KLM) . . . . . . . . 29 2.2.9 Trigger and Data Acquisition . . . . . . . . . . . . . . 30 2.3 Belle Analysis Framework . . . . . . . . . . . . . . . . . . . . 32 3 Event Selection and Reconstruction 33 3.1 Data Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.1.1 Blind Analysis . . . . . . . . . . . . . . . . . . . . . . . 33 3.1.2 Monte Carlo Simulation . . . . . . . . . . . . . . . . . 34 3.1.3 Fix mdst . . . . . . . . . . . . . . . . . . . . . . . . . . 35 3.2 Signal Decay Model . . . . . . . . . . . . . . . . . . . . . . . . 35 3.3 B Candidate Reconstruction . . . . . . . . . . . . . . . . . . . 36 3.4 Event Selection . . . . . . . . . . . . . . . . . . . . . . . . . . 37 3.4.1 Charged Particle Selection . . . . . . . . . . . . . . . . 37 3.4.2 Tag Side Selection . . . . . . . . . . . . . . . . . . . . 39 3.4.3 Best Candidate Selection . . . . . . . . . . . . . . . . . 40 3.4.4 Rare B Decays Background . . . . . . . . . . . . . . . 43 3.5 Comparison between MC and Data in Sideband Region . . . . 45 3.6 Efficiency Cut Flow . . . . . . . . . . . . . . . . . . . . . . . . 48 4 Signal Extraction and Fitting 49 4.1 Fitting Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . 49 4.2 Probability Distribution Functions Modeling . . . . . . . . . . 50 4.3 Measurements of Branching Fraction . . . . . . . . . . . . . . 51 4.4 Ensemble Test on Fitters . . . . . . . . . . . . . . . . . . . . . 53 4.5 Control Sample Study . . . . . . . . . . . . . . . . . . . . . . 55 5 Proton Identification Efficiency Study 58 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 5.2 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 5.2.1 Selection of Λ . . . . . . . . . . . . . . . . . . . . . . . 59 5.2.2 Binning . . . . . . . . . . . . . . . . . . . . . . . . . . 60 5.2.3 Fitting Procedure . . . . . . . . . . . . . . . . . . . . . 62 5.3 Error Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . 65 5.3.1 Statistical Error . . . . . . . . . . . . . . . . . . . . . . 65 5.3.2 Systematic Error . . . . . . . . . . . . . . . . . . . . . 66 5.3.3 Total Error . . . . . . . . . . . . . . . . . . . . . . . . 66 5.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 5.5 Correction Tables and Package . . . . . . . . . . . . . . . . . . 67 6 Results 72 6.1 Fit Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 6.2 Systematic Uncertainties . . . . . . . . . . . . . . . . . . . . . 74 6.2.1 Track Reconstruction . . . . . . . . . . . . . . . . . . . 74 6.2.2 Charged Particle Identification . . . . . . . . . . . . . . 74 6.2.3 Tag Calibration . . . . . . . . . . . . . . . . . . . . . . 74 6.2.4 Number of B ‾B . . . . . . . . . . . . . . . . . . . . . . 75 6.2.5 Signal Decay Model . . . . . . . . . . . . . . . . . . . . 75 6.2.6 PDF Shape . . . . . . . . . . . . . . . . . . . . . . . . 76 6.2.7 Fitting Region . . . . . . . . . . . . . . . . . . . . . . . 76 6.3 Comparisons between MC and Data in Signal Region . . . . . 78 6.4 Upper Limit Estimation for Branching Fraction . . . . . . . . 80 6.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 A Number of B events in HadronB(J) 82 B 2D Histograms Related to Proton Identification Efficiency Study 83 C Correction Tables for Proton Identification Efficiency 92 | |
dc.language.iso | en | |
dc.title | 以強子標籤法尋找B介子衰變至正反質子對與輕子對之研究 | zh_TW |
dc.title | Search for B- → p pbar l nubar with Hadronic Tag at Belle | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 張寶棣(Pao-Ti Chang),侯維恕(Wei-Shu Hou),熊怡(Yee Hsiung) | |
dc.subject.keyword | B介子,強子標籤法,半輕子衰變,貝爾實驗, | zh_TW |
dc.subject.keyword | B meson,hadronic tag,semileptonic decay,Belle, | en |
dc.relation.page | 106 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2013-07-17 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 物理研究所 | zh_TW |
顯示於系所單位: | 物理學系 |
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