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Searches for BSM physics with four top quarks

Searches for BSM physics with four top quarks
搜索具有四个顶夸克的 BSM 物理
批准号:
2815182
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
在质子-质子碰撞中同时产生四个顶夸克是粒子物理标准模型预测的最罕见的过程之一。顶夸克的高质量意味着它与希格斯玻色子有密切的关系,许多标准模型理论之外的理论预测了这一过程的增强截面。因此,寻找四个顶级夸克的创造是发现新物理的理想探测器,通过区分信号和背景来寻找这样的事件带来了挑战。因此,博士项目的目标是找到证据,或进一步限制与四个顶级夸克的产生相关的BSM物理的存在。该项目属于STFC粒子物理研究领域。在质子-质子碰撞中同时产生四个顶夸克(四个顶夸克)是粒子物理标准模型(SM)预测的最罕见的过程之一。顶夸克的高质量意味着它与希格斯玻色子有密切的关系,希格斯玻色子可以改变这个通道的发生频率,从而使四个顶夸克的产生和随后的行为成为新物理的理想探测器。许多超越标准模型(BSM)的理论(例如,亲顶向量共振)也预测了这一过程的增强截面。该项目的目的是找到证据,或进一步限制与四个顶级夸克的产生有关的BSM物理的存在。顶级夸克是通过衰变成终态粒子--b夸克和W玻色子来观察的,在这种粒子中,W玻色子可以进一步衰变成夸克-反夸克对或带电轻子和中微子对。每个夸克还会产生一种独特的粒子锥体,称为喷流。产生顶夸克的方法有多种,最常见的是夸克-反夸克对,但偶尔也可以自己发现。事实上,据预测,四顶的产生速度将比产生顶夸克-反夸克对的速度低7万倍。因此,观测难以捉摸的四顶信号是一项挑战,因为很难将其与背景过程区分开来,并且由于其不同的特征。机器学习的使用在许多方面给粒子物理学带来了革命性的变化,并在关于事件分类的几项分析中取得了成功。因此,一个主要的目标是探索和确定使用哪种尖端的机器学习技术来将信号从背景中分离出来。然后将其用于对实际数据的物理分析,同时考虑有利信号通道中的所有系统和统计不确定性。这一切都是通过计算完成的。该项目将与欧洲核子研究中心的紧凑型Muon螺线管(CMS)实验合作进行,属于STFC粒子物理研究领域的范围。这符合STFC的物理战略,通过高级问题C回答其科学挑战:“物质的基本成分是什么?它们是如何相互作用的?”更具体地说,这项工作通过问题C1和C2来解决SM中预测的内容和观察到的内容是否存在差异:“基本粒子和场是什么?”和“什么是物理学的基本定律和对称性?”这项工作将是英国布里斯托尔大学和德国DESY大学合作的成果。
英文摘要
The simultaneous production of four top quarks in proton-proton collisions is among the rarest processes predicted by the standard model of particle physics. The high mass of the top quark means it has a close relationship to the Higgs boson, and many beyond the standard model theories predict an enhanced cross-section of this process. Searching for four top quark creation is therefore an ideal probe to discover new physics, with the challenge arising in finding such events by distinguishing between signal and background. Hence, the PhD project aims to find evidence for, or further constrain limits of, the existence of BSM physics in association with the production of four top quarks. Cutting-edge machine learning techniques are to be explored and employed in disentangling the complex signature.This project falls under the remit of the STFC's particle physics research area.The simultaneous production of four top quarks (four-tops unless further specified) in proton-proton collisions is among the rarest processes predicted by the standard model (SM) of particle physics. The high mass of the top quark means it has a close relationship to the Higgs boson, which can change the frequency of this channel taking place, and therefore makes the creation of four top quarks and their subsequent behaviour an ideal probe for new physics. Many beyond the standard model (BSM) theories (e.g., top-philic vector resonances) also predict an enhanced cross-section of this process. The aim of the project is to find evidence for, or further constrain limits of, the existence of BSM physics in association with the production of four top quarks.Top quarks are observed through their decays into final state particles, the b quark and W bosons, where the latter can further decay into quark-antiquark pairs or charged lepton and neutrino pairs. Each quark also produces a distinctive cone of particles called a jet. There are a variety of ways to produce top quarks, which are most commonly found as quark-antiquark pairs but can occasionally be found on their own. In fact, the rate of production of four-tops is predicted to be 70,000 times lower than that of producing top quark-antiquark pairs. Observing the elusive four-tops signal is therefore a challenge due to the difficulty of distinguishing it from background processes, and due to its varied signature. The use of machine learning has revolutionised particle physics in numerous aspects, and has found success in several analyses with regards to event classification. Hence, a primary objective is to explore and determine which cutting edge machine learning techniques to employ for disentangling signal from background. This is then to be used for the physics analysis on real data, considering all systematic and statistical uncertainties in favourable signal channels. This is all to be done computationally.The project is to be conducted in collaboration with the Compact Muon Solenoid (CMS) experiment at CERN and falls under the remit of the STFC's particle physics research area. This is in accordance with the STFC physics strategy in answering its science challenges through high-level question C: "What are the basic constituents of matter and how do they interact?". More specifically, this work addresses whether there are discrepancies in what is predicted in the SM and what is observed, through questions C1 and C2: "what are the fundamental particles and fields?" and "what are the fundamental laws and symmetries of physics?". This work will be the product of a partnership between the University of Bristol, UK and DESY, Germany.
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海外基金
灰霉菌基因簇BGCA调控BSM1的生物合成途径及致病的分子机制研究
  • 批准号:
    32402306
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2024
  • 负责人:
    汪姣姣
  • 依托单位:
基于影像融合的虚拟心肌切除计算模型精准导航TA-BSM新术式的机制与应用研究
  • 批准号:
    82472010
  • 项目类别:
    面上项目
  • 资助金额:
    50.00万元
  • 批准年份:
    2024
  • 负责人:
    刘娅妮
  • 依托单位: