CAREER: Physics at the Interplay between the Higgs Boson and the Top Quark

职业：希格斯玻色子和顶夸克之间相互作用的物理学

• 批准号: 2046280
• 负责人: Haichen Wang
• 金额: $ 90.06万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-15 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2046280&HistoricalAwards=false
• 关键词: CAREER; Physics; Interplay; between; Higgs

The start-up of the Large Hadron Collider (LHC) a decade ago ushered in a new era of research in hitherto inaccessible energy regimes. The discovery of the Higgs boson is the first major highlight of the LHC program, which established that the predicted particle content and interactions of the Standard Model (SM) are complete. Despite this success, the SM is widely believed to be an incomplete theory. Ongoing studies must determine whether or not this new Higgs boson is that of the SM, and new experimental data are essential to discover if and how Nature has chosen to extend the SM. These studies include new measurements and searches for new physics, primarily using data recorded at the highest currently available center-of-mass energy. The physics analysis activities form a comprehensive program to extend characterization of Higgs boson properties. This award will push the limits of this search for physics beyond the SM by employing new Machine Learning techniques. The innovation being developed by this award: using Graph Neural Networks (GNN) to analyze the massive amount of data being produced by the ATLAS experiment at the LHC, will push the discovery potential in the Higgs boson study. The award will also expand an education and outreach effort using data from the LHC and GNN techniques into local area high schools and the general public. This award will search for Beyond the SM (BSM) physics in the Higgs boson channels involving top-quark-associated production (ttH and tH). It will also further study Higgs decay into two-photon and four-quark channels. These are rare processes and will require the new techniques being developed by this award. These channels are expected to put strong constraints on BSM physics. The novel use of GNN is in a nascent state but involves re-classifying LHC data into a graph structure. This graph structure can then be fed into a neural network which can in effect select out the very rare events that are of interest, revealing BSM. This award will also further develop the upgrade to the ATLAS detector currently in preparation for the High Luminosity LHC (HL-LHC). The work will focus on the Strip Tracker upgrade and the Data Acquisition system, which requires a new software framework in order to meet the stringent performance requirements of the HL-LHC.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

十年前大型强子对撞机（LHC）的启动开创了迄今为止无法获得的能源领域研究的新时代。希格斯玻色子的发现是大型强子对撞机计划的第一个重大亮点，它确立了标准模型（SM）预测的粒子含量和相互作用的完整性。尽管取得了这一成功，但 SM 仍被广泛认为是一个不完整的理论。正在进行的研究必须确定这个新的希格斯玻色子是否是 SM 的玻色子，而新的实验数据对于发现大自然是否以及如何选择扩展 SM 至关重要。这些研究包括新的测量和对新物理的探索，主要使用当前可用的最高质心能量记录的数据。物理分析活动形成了一个综合计划，以扩展希格斯玻色子特性的表征。该奖项将通过采用新的机器学习技术，将物理学探索的极限推向 SM 之外。该奖项正在开发的创新：使用图神经网络（GNN）分析 LHC 的 ATLAS 实验产生的大量数据，将推动希格斯玻色子研究的发现潜力。该奖项还将利用 LHC 和 GNN 技术的数据将教育和推广工作扩大到当地高中和公众。该奖项将在涉及顶夸克相关产生（ttH 和 tH）的希格斯玻色子通道中寻找超越 SM（BSM）物理。它还将进一步研究希格斯衰变成双光子和四夸克通道。这些都是罕见的工艺，需要该奖项正在开发的新技术。这些通道预计会对 BSM 物理施加强有力的限制。 GNN 的新颖用途还处于初级状态，但涉及将 LHC 数据重新分类为图结构。然后可以将该图结构输入神经网络，该神经网络实际上可以选择出感兴趣的非常罕见的事件，从而揭示 BSM。该奖项还将进一步开发目前正在为高亮度大型强子对撞机（HL-LHC）做准备的 ATLAS 探测器的升级。这项工作将集中在 Strip Tracker 升级和数据采集系统上，这需要新的软件框架才能满足 HL-LHC 严格的性能要求。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Observation of four-top-quark production in the multilepton final state with the ATLAS detector

• DOI: 10.1140/epjc/s10052-023-11573-0
• 发表时间: 2023-03
• 期刊: The European Physical Journal C
• 作者: G. Aad;B. Abbott;K. Abeling;N. J. Abicht;S. Abidi;A. Aboulhorma;H. Abramowicz;H. Abreu

Holistic approach to predicting top quark kinematic properties with the covariant particle transformer

• DOI: 10.1103/physrevd.107.114029
• 发表时间: 2022-03
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Shikai Qiu;Shuo Han;X. Ju;B. Nachman;Haichen Wang

Measurement of the properties of Higgs boson production at $$ \sqrt{s} $$ = 13 TeV in the H → γγ channel using 139 fb−1 of pp collision data with the ATLAS experiment

使用 ATLAS 实验的 139 fb-1 pp 碰撞数据测量 H γ γ 通道中 $$ sqrt{s} $$ = 13 TeV 处希格斯玻色子产生的特性

• DOI: 10.1007/jhep07(2023)088
• 发表时间: 2023
• 期刊: Journal of High Energy Physics
• 影响因子: 5.4
• 作者: Aad, G.;Abbott, B.;Abbott, D. C.;Abeling, K.;Abidi, S. H.;Aboulhorma, A.;Abramowicz, H.;Abreu, H.;Abulaiti, Y.;Abusleme Hoffman, A. C.
• 通讯作者: Abusleme Hoffman, A. C.