Search for Invisible Decays of the Higgs Boson Produced Via Vector Boson Fusion at the Lhc with CMS Run 2 Data (利用CMS第二階段數據搜尋通過矢量玻色子融合產生的希格斯玻色子隱形衰變)

Akpinar, Alp

  • 出版商: Springer
  • 出版日期: 2025-01-19
  • 售價: $5,100
  • 貴賓價: 9.5$4,845
  • 語言: 英文
  • 頁數: 134
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031783646
  • ISBN-13: 9783031783647
  • 尚未上市,無法訂購

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商品描述

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on hypothesized interactions between the Higgs boson and dark matter. The thesis also includes further research about the future outlook of the experiment, including exploratory research on the adaptation of deep learning models in future dark matter analyses to improve analysis sensitivity, and the design of a new type of data processing hardware to be used in the next phase of the CMS experiment.

商品描述(中文翻譯)

本論文報告了在CERN的緊湊μ子螺旋儀(CMS)實驗中進行的最新暗物質搜尋測量,這些測量對假設的希格斯玻色子與暗物質之間的相互作用提供了最嚴格的限制。論文還包括了對實驗未來展望的進一步研究,包括對未來暗物質分析中深度學習模型適應性的探索研究,以提高分析的靈敏度,以及設計一種新型數據處理硬體,將在CMS實驗的下一階段中使用。

作者簡介

  • Graduated from Bogazici University in Istanbul, Turkey with a degree in civil engineering and physics.
  • Pursued a PhD in Boston University, contributing to dark matter searches and tracker hardware upgrade projects in the CMS experiment at CERN.
  • Currently working as a machine learning engineer.

作者簡介(中文翻譯)

- 畢業於土耳其伊斯坦堡的博阿茲奇大學,獲得土木工程和物理學學位。
- 在波士頓大學攻讀博士學位,參與了在CERN的CMS實驗中有關暗物質搜尋和追蹤器硬體升級專案的研究。
- 目前擔任機器學習工程師。