研究生: |
劉于翔 Liu, Yu-Xiang |
---|---|
論文名稱: |
Direct detection for Dark Matter in G2HDM and Z' search with Dark Matter at the LHC Direct detection for Dark Matter in G2HDM and Z' search with Dark Matter at the LHC |
指導教授: |
陳傳仁
Chen, Chuan-Ren |
學位類別: |
博士 Doctor |
系所名稱: |
物理學系 Department of Physics |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 69 |
英文關鍵詞: | Gauge Two Higgs Doublet Model, Jet Substructure, Pair Higgs Production |
DOI URL: | http://doi.org/10.6345/NTNU202001368 |
論文種類: | 學術論文 |
相關次數: | 點閱:205 下載:11 |
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In this thesis, we will study dark matter phenomenology in few different aspects. First, we study the complex scalar dark matter phenomenology in Gauged Two Higgs Doublet Model (G2HDM). The model has additional gauge $SU(2)_H\times U(1)_X$ that will leave an accidental $\mathbb{Z}_2$ symmetry after symmetry braking, which protects the stability of dark matter. We choose the scalar dark matter for our study, which can further categorized into doublet-like, triplet-like, and Goldstone-like dark matter by their composition of mixing elements. We test these dark matter by current constraints from PLANCK and XENON$1$T experiments. In the second part we study the dark matter search by means of the popular Higgs pair search in collider with an effective model. We use jet substructure technique for better resolution to find our signal from tremendous backgrounds at the LHC, and project the discovery rate for the High-Luminosity LHC.
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