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,与几十年来涉及弱、电磁和强相互作用的实验观察相一致。在大型强子对撞机上发现希格斯玻色子进一步证实了这一成功。然而,标准模型仍然是一个不完整的理论。在大型强子对撞机上对希格斯玻色子性质的精确测量可以为超越标准模型(BSM)的新物理学提供见解。在希格斯玻色子发现后的近十年里,没有来自大型强子对撞机实验的BSM的明确证据。这催生了新的实验来取得突破。这个奖项就是这样一个实验,寻找大型强子对撞机产生的新形式的暗物质。这个实验,FASER(向前搜索实验),放置在距离光束相互作用点近半公里的地方,将寻找在各种暗物质理论模型中预测的长寿新粒子。这种远前探测器覆盖了从大型LHC探测器(如ATLAS和CMS)中逃脱的信号,许多模型预测低横向动量转移相互作用将产生新的粒子,如暗光子和轴子样粒子,这些粒子可以在FASER探测器中产生信号。FASER将寻找非常高能(TeV)的电子正电子对,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、磁跟踪探测器和量热计,所有这些都借用了大型LHC探测器的技术。这就产生了一种对各种可能的新粒子都很敏感的通用探测器。该奖项的很大一部分工作是开发数据采集系统、触发器和数据分析软件,以收集FASER的数据,并从这些数据中挖掘出新粒子的发现。这个经验丰富的团队有望在相对较短的三年数据采集时间内,发现新的长寿命粒子,如果它们存在的话。该团队还将与面向高中生的加州州立数学与科学暑期学校(COSMOS)合作,为他们提供FASER数据,让他们亲身体验高能物理数据分析技术。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值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

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

Construction of dual Z-scheme Ag<sub>3</sub>VO<sub>4</sub>–BiVO<sub>4</sub>/InVO<sub>4</sub> photocatalysts using vanadium source from spent catalysts for contaminated water treatment and bacterial inactivation
  • DOI:
    10.1016/j.chemosphere.2024.142746
  • 发表时间:
    2024-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Kuen-Chan Lee;Shih-Chieh Hsu;Jen-Hsien Huang;Kuan-Syun Wang;Wei Kong Pang;Chih-Wei Hu;Yi-Jhen Jiang;Er-Chieh Cho;Huei Chu Weng;Ting-Yu Liu
  • 通讯作者:
    Ting-Yu Liu
Crystal structure-controlled synthesis of NiMoO<sub>4</sub>/NiO hierarchical microspheres for high-performance supercapacitors and photocatalysts
  • DOI:
    10.1016/j.est.2024.112639
  • 发表时间:
    2024-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Kuen-Chan Lee;Jen-Hsien Huang;Yen-Ju Wu;Kuan-Syun Wang;Er-Chieh Cho;Shih-Chieh Hsu;Ting-Yu Liu
  • 通讯作者:
    Ting-Yu Liu
Cr-doped LiNisub0.5/subMnsub1.5/subOsub4/sub derived from bimetallic Ni/Mn metal-organic framework as high-performance cathode for lithium-ion batteries
基于双金属 Ni/Mn 金属有机骨架衍生的铬掺杂 LiNi₀.₅Mn₁.₅O₄ 作为高性能锂离子电池正极材料
  • DOI:
    10.1016/j.est.2023.107686
  • 发表时间:
    2023-09-15
  • 期刊:
  • 影响因子:
    9.800
  • 作者:
    Yu-Sheng Hsiao;Jen-Hsien Huang;Ta-Hung Cheng;Chih-Wei Hu;Nian-Jheng Wu;Chi-Yun Yen;Shih-Chieh Hsu;Huei Chu Weng;Chih-Ping Chen
  • 通讯作者:
    Chih-Ping Chen
Synergistic effect of doping and surface engineering on LiNisub0.5/subMnsub1.5/subOsub4/sub and its application as a high-performance cathode material for Li-ion batteries
  • DOI:
    10.1016/j.ceramint.2022.06.088
  • 发表时间:
    2022-10-01
  • 期刊:
  • 影响因子:
    5.600
  • 作者:
    Shih-Chieh Hsu;Cai-Wan Chang-Jian;Tzu-yen Huang;Chih-Wei Hu;Lo-Yueh Chang;Han-Hsin Chiang;Nian-Jheng Wu;Shih-An Liu;Jen-Hsien Huang;Jia-Lin Kang;Huei Chu Weng;Ting-Yu Liu
  • 通讯作者:
    Ting-Yu Liu
Surface-modified graphite felt incorporating synergistic effects of TiOsub2/sub decoration, nitrogen doping, and porous structure for high-performance vanadium redox flow batteries
具有二氧化钛修饰、氮掺杂和多孔结构协同效应的表面改性石墨毡用于高性能钒氧化还原液流电池
  • DOI:
    10.1016/j.surfcoat.2024.130785
  • 发表时间:
    2024-05-30
  • 期刊:
  • 影响因子:
    6.100
  • 作者:
    Yu-Sheng Hsiao;Jen-Hsien Huang;Hong-Yu Lin;Wei Kong Pang;Min-Tzu Hung;Ta-Hung Cheng;Shih-Chieh Hsu;Huei Chu Weng;Yu-Ching Huang
  • 通讯作者:
    Yu-Ching Huang

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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