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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92583


    Title: Dedicated photon identification for H ⭢ Zγ with the CMS detector at √ s = 13 TeV
    Authors: 沈聿陞;Shen, Yu-Sheng
    Contributors: 物理學系
    Keywords: 希格斯玻色子;光子;機器學習;Higgs boson;photon;XGBoost
    Date: 2023-10-05
    Issue Date: 2024-09-19 15:56:14 (UTC+8)
    Publisher: 國立中央大學
    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 Ultra Legacy(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 Ultra Legacy和Run-3分析。
    ;The 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 con tributed 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 ULtra Legacy. 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.
    Appears in Collections:[Graduate Institute of Physics] Electronic Thesis & Dissertation

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