Estimation of Fake Hadronic Tau Lepton Background in the HH → bbττ LepHad Channel Using Run 2 and Run 3 Data with the ATLAS Detector

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/99502

Title:	Estimation of Fake Hadronic Tau Lepton Background in the HH → bbττ LepHad Channel Using Run 2 and Run 3 Data with the ATLAS Detector
Authors:	Muhammad, Zain Zain, Muhammad
Contributors:	土木工程學系
Keywords:	離散元素法;異向性岩體;崩塌能量;臨界斜交角;連續函數
Date:	2026-01-28
Issue Date:	2026-03-06 19:19:25 (UTC+8)
Publisher:	國立中央大學
Abstract:	本研究提出一種以資料為基礎的方法，用於估計 ????→????????過程中假強子衰變 ?? 輕子背景，並著重於輕子–強子（??lep??had）道的分析。對希格斯玻色子對產生的搜尋具有特別重要的意義，因為此類研究能直接探測希格斯自耦合，並對標準模型進行關鍵檢驗。本文使用 ATLAS 偵測器在 Run 2 期間所量測、對應質心能量 √??=13TeV 的質子–質子對撞資料，以及 2022 至 2023 年 Run 3 所收集、質心能量 √??=13.6TeV 的可用資料。在 ATLAS 中，?? 輕子僅能透過其可見衰變產物加以重建，而涉及強子衰變 ?? 輕子的分析，特別容易受到由夸克與膠子噴注被誤辨識為 ??had 候選體所造成的背景影響。為了刻畫這些貢獻，本文採用 Fake Factor 方法，在富含 ????ˉ 與多噴注事例的控制區中量測 fake factor，並將其套用至訊號區。透過專門設計的 closure 測試對該方法進行驗證，結果顯示在兩個 run 期間，預測與實測資料之間具有良好的一致性，確認了假背景估計的穩健性。 ;This study presents a data-driven estimation of fake hadronic τ-lepton backgrounds in the HH → bbττ process, focusing on the lepton–hadronic (τlepτhad) channel. The search for Higgs-boson pair production is of particular importance, as it provides direct sensitivity to the Higgs self-coupling and offers a critical test of the Standard Model. The analysis uses proton–proton collision data recorded by the ATLAS detector during Run 2 at √s = 13 TeV and available Run 3 data collected in 2022 to 2023 at √s = 13.6 TeV. In ATLAS, τ leptons are reconstructed only through their visible decay products, and analyses involving hadronically decaying τ leptons are especially affected by backgrounds from quark- and gluon initiated jets misidentified as τhad candidates. To model these contributions, a Fake Factor Method is employed, with fake factors derived in control regions enriched in t¯tand multijet events and subsequently applied to the signal region. The method is validated through dedicated closure tests, demonstrating good agreement between the prediction and observed data across both run periods, thereby confirming the robustness of the fake-background estimation
Appears in Collections:	[Graduate Institute of Physics] Electronic Thesis & Dissertation

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