博碩士論文 110222030 完整後設資料紀錄

DC 欄位 語言
DC.contributor物理學系zh_TW
DC.creator沈聿陞zh_TW
DC.creatorYu-Sheng Shenen_US
dc.date.accessioned2023-10-5T07:39:07Z
dc.date.available2023-10-5T07:39:07Z
dc.date.issued2023
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=110222030
dc.contributor.department物理學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract評估希格斯玻色子罕見衰變的測量有助於理解粒子物理標準模型 (SM)以及希格斯玻色子衰變至正負電子對和光子的貢獻。尋找希格斯 玻色子衰變至Z玻色子和光子具有相對乾淨的終態,但在很大程度上受到 不可避免的背景p-p→Zγ和可減少的背景Z玻色子及噴流過程的影響。為 增強LHC Run-2數據集的分析,已實施了多種新的分析技術。光子識別在 多變量分析中起著關鍵作用,可減少Z+Jets的貢獻。本研究考慮了來自 H→Zγ的光子和來自Z+Jets的光子的特定變數,使用LHC Run-2 UltraLegacy(UL)模擬數據進行了機器學習。學習結果與CMS-EGM團隊為 Ultra-Legacy的標准光子識別模型進行了比較。預期的中位數顯著性為 1.15σ,表明改進了8.4%。我們的目標是將這一新發展應用於Run-2 UltraLegacy和Run-3分析。zh_TW
dc.description.abstractThe measurement of the rare decay of the Higgs boson would help understand the Standard Model(SM) of particle physics and the NLO contribution of H→ll γ final state. The search for H→Zγ has a relatively clean final state but is significantly contributed by irreducible background SM Zγ and reducible background Z+Jets processes. To enhance the analysis of the LHC Run-2 dataset, several new analysis techniques have been implemented. Photon identification plays a crucial role in reducing the contribution of Z+jets in multivariate analysis. This study considers specific shower shape and isolation variables of prompt photons from H→Zγ and jet-fake photons from Z+Jets using LHC Run-2 Ultra-Legacy(UL) simulations. The training results are compared with standard photon identification trained by CMS-EGM groups for ULtraLegacy. The expected significance is 1.15 σ, indicating an improvement of 8.4%. We aim to implement this new development for Run-2 Ultra-Legacy and Run-3 analysis.en_US
DC.subject希格斯玻色子zh_TW
DC.subject光子zh_TW
DC.subject機器學習zh_TW
DC.subjectHiggs bosonen_US
DC.subjectphotonen_US
DC.subjectXGBoosten_US
DC.titleDedicated photon identification for H ⭢ Zγ with the CMS detector at √ s = 13 TeVen_US
dc.language.isoen_USen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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