Collaborative Research: FASER and FASERnu at the Large Hadron Collider

合作研究:大型强子对撞机上的 FASER 和 FASERnu

基本信息

  • 批准号:
    2110648
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The Standard Model of particle physics has been a successful theory, agreeing with decades of experimental observations involving weak, electromagnetic, and strong interactions. The discovery of the Higgs boson at the LHC was further confirmation of this success. However, the Standard Model remains an incomplete theory. The precise measurements of the properties of the Higgs boson at the LHC could provide insight into new physics Beyond the Standard Model (BSM). In the almost ten years since the Higgs discovery, there is no clear evidence of BSM coming from the big LHC experiments. This has spawned new experiments to make a breakthrough. This award is such an experiment, looking for new forms of Dark Matter produced at the LHC. The experiment, FASER (Forward Search Experiment), placed almost half a kilometer away from the beam interaction points, will search for long-lived new particles predicted in various theoretical models of Dark Matter. This far-forward detector covers signals that escape the big LHC detectors like ATLAS and CMS, and many models predict low transverse momentum transfer interactions that would produce new particles like dark photons and axion-like particles that could produce signals in the FASER detector.FASER will look for very high energy (TeV) electron positron pairs which would leave a clean, clear signal in the FASER charged- track detector. The complete detector includes scintillators, magnetic tracking detectors and a calorimeter, all using borrowed technology from the big LHC detectors. This results in a general-purpose detector that is sensitive to a wide variety of possible new particles. A large component of the work in this award is the development of the data acquisition system, trigger and data analysis software needed to collect FASER’s data and dig out of this data the discovery of new particles. This very experienced team are expected to be able to discover new long-lived particles, if they are there, within a relatively short three years of data taking. The team also will work with the California State Summer School for Mathematics & Science (COSMOS) for high school students, giving them FASER data for hands-on experience in high energy physics data analysis techniques.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.
粒子物理学的标准模型是一个成功的理论,与数十年涉及弱相互作用、电磁相互作用和强相互作用的实验观察一致。大型强子对撞机希格斯玻色子的发现进一步证实了这一成功。大型强子对撞机对希格斯玻色子特性的不完整理论可以为超越标准模型(BSM)的新物理学提供见解。自希格斯发现以来的近十年里,没有明确的证据表明BSM来自于标准模型。大的LHC实验催生了新的突破,这个实验就是在距离LHC近半公里的地方寻找暗物质的新形式。光束相互作用点,将搜索暗物质各种理论模型中预测的长寿命新粒子,这种超前探测器涵盖了逃离 ATLAS 和 CMS 等大型大型强子对撞机探测器的信号,并且许多模型预测了低横向动量传递相互作用。产生新的粒子,例如暗光子和类轴子粒子可以在 FASER 探测器中产生信号。FASER 将寻找极高能量 (TeV) 电子正电子对,这将在 FASER 带电轨道探测器中留下干净、清晰的信号。完整的探测器包括闪烁体。 、磁跟踪探测器和热量计,全部使用大型大型强子对撞机探测器的借用技术,这导致了对各种可能的新粒子敏感的通用探测器。开发收集 FASER 数据并从这些数据中发现新粒子所需的数据采集系统、触发器和数据分析软件,预计这个经验丰富的团队将能够发现新的长寿命粒子。在相对较短的三年内,该团队还将与加州州立数学与科学暑期学校 (COSMOS) 合作,为高中生提供 FASER 数据,以获得高能物理数据分析的实践经验。该奖项体现了通过使用基金会的智力价值和更广泛的影响审查标准进行评估,NSF 的法定使命被认为值得支持。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Results from commissioning and/or prototypes for new small (HL-)LHC experiments
The trigger and data acquisition system of the FASER experiment
  • DOI:
    10.1088/1748-0221/16/12/p12028
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    1.3
  • 作者:
    Faser Collaboration Henso Abreu;C. Antel;A. Ariga;T. Ariga;F. Bernlochner;T. Boeckh;J. Boyd;L. Brenner;F. Cadoux;D. Casper;Charlotte Cavanagh;Xin Chen;Elisa Ruiz Cholis;A. Coccaro;S. Débieux;S. Dmitrievsky;M. D'Onofrio;C. Dozen;Y. Favre;Deion Fellers;Jonathan L. Feng;D. Ferrere;E. Gamberini;E. Galantay;S. Gibson;S. Gonzalez-Sevilla;Y. Gornushkin;C. Gwilliam;S. Hsu;Zhe Hu;G. Iacobucci;T. Inada;S. Jakobsen;E. Johnson;E. Kajomovitz;F. Kling;Umit Kose;S. Kuehn;H. Lefebvre;L. Levinson;K. Li;Jinfeng Liu;C. Magliocca;Elham Amin Mansour;J. Mcfayden;M. Milanesio;S. Meehan;D. Mladenov;T. Moretti;M. Munker;M. Nakamura;T. Nakano;M. Nessi;F. Neuhaus;L. Nevay;H. Otono;C. Pandini;H. Pang;L. Paolozzi;B. Petersen;F. Pietropaolo;M. Prim;M. Queitsch-Maitland;F. Resnati;C. Rizzi;H. Rokujo;Jakob Salfeld-Nebgen;O. Sato;P. Scampoli;K. Schmieden;M. Schott;A. Sfyrla;S. Shively;R. Sipos;John Spencer;Y. Takubo;Noshin Tarannum;O. Theiner;E. Torrence;S. Tufanli;S. Vasina;B. Vormwald;Di Wang
  • 通讯作者:
    Faser Collaboration Henso Abreu;C. Antel;A. Ariga;T. Ariga;F. Bernlochner;T. Boeckh;J. Boyd;L. Brenner;F. Cadoux;D. Casper;Charlotte Cavanagh;Xin Chen;Elisa Ruiz Cholis;A. Coccaro;S. Débieux;S. Dmitrievsky;M. D'Onofrio;C. Dozen;Y. Favre;Deion Fellers;Jonathan L. Feng;D. Ferrere;E. Gamberini;E. Galantay;S. Gibson;S. Gonzalez-Sevilla;Y. Gornushkin;C. Gwilliam;S. Hsu;Zhe Hu;G. Iacobucci;T. Inada;S. Jakobsen;E. Johnson;E. Kajomovitz;F. Kling;Umit Kose;S. Kuehn;H. Lefebvre;L. Levinson;K. Li;Jinfeng Liu;C. Magliocca;Elham Amin Mansour;J. Mcfayden;M. Milanesio;S. Meehan;D. Mladenov;T. Moretti;M. Munker;M. Nakamura;T. Nakano;M. Nessi;F. Neuhaus;L. Nevay;H. Otono;C. Pandini;H. Pang;L. Paolozzi;B. Petersen;F. Pietropaolo;M. Prim;M. Queitsch-Maitland;F. Resnati;C. Rizzi;H. Rokujo;Jakob Salfeld-Nebgen;O. Sato;P. Scampoli;K. Schmieden;M. Schott;A. Sfyrla;S. Shively;R. Sipos;John Spencer;Y. Takubo;Noshin Tarannum;O. Theiner;E. Torrence;S. Tufanli;S. Vasina;B. Vormwald;Di Wang
Highlight: Forward Physics (LHCf + FASER)
亮点:正向物理学(LHCf FASER)
Measuring TeV neutrinos with FASER$\nu$ in LHC Run 3
在 LHC Run 3 中使用 FASER$ u$ 测量 TeV 中微子
FASER: Forward Search Experiment at the LHC
FASER:大型强子对撞机的前向搜索实验
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Shih-Chieh Hsu其他文献

Shih-Chieh Hsu的其他文献

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{{ truncateString('Shih-Chieh Hsu', 18)}}的其他基金

Conference: NSF Meta-Workshop on AI to Accelerate Scientific and Engineering Discovery (AI2ASED)
会议:NSF 人工智能加速科学和工程发现元研讨会 (AI2ASED)
  • 批准号:
    2337647
  • 财政年份:
    2023
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
Accelerating Searches for Beyond the Standard Model Physics and the ATLAS Pixel Detector
加速超越标准模型物理和 ATLAS 像素探测器的搜索
  • 批准号:
    2110963
  • 财政年份:
    2021
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant
HDR Institute: Accelerated AI Algorithms for Data-Driven Discovery
HDR 研究所:用于数据驱动发现的加速 AI 算法
  • 批准号:
    2117997
  • 财政年份:
    2021
  • 资助金额:
    $ 25万
  • 项目类别:
    Cooperative Agreement
Collaborative Research: Advancing Science with Accelerated Machine Learning
协作研究:通过加速机器学习推进科学发展
  • 批准号:
    1934360
  • 财政年份:
    2019
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant
Beyond the Standard Model Searches using Mono-Boson Final States and the ATLAS Pixel Detector Upgrade
超越使用单玻色子最终状态和 ATLAS 像素探测器升级的标准模型搜索
  • 批准号:
    1510727
  • 财政年份:
    2015
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant

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