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
- 来源:
- 关键词:
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一直是一种成功的理论,与数十年的实验观察一致,涉及弱,电磁和强相互作用。在LHC上发现了希格斯玻色子的发现进一步证实了这一成功。但是,标准模型仍然是一个不完整的理论。 HIGGS玻色子在LHC的性质的精确度量可以提供对标准模型(BSM)以外的新物理学的见解。自希格斯发现以来的近十年中,没有明确的证据表明BSM来自大型LHC实验。这产生了新的实验以取得突破。该奖项是这样的实验,正在寻找LHC生产的新形式的暗物质。实验FASER(前向搜索实验)将距光束相互作用点近半公里的距离放置,将寻找在暗物质的各种理论模型中预测的长寿命的新粒子。这个遥远的探测器涵盖了逃脱大型LHC检测器(例如Atlas和CMS)的信号,许多模型都可以预测,低传输动量转移相互作用将产生新的粒子,例如深色照片和类似轴突的粒子,这些粒子可能会在Faser detector中产生信号。Faser会寻找很高的能量(TEV)电子效能(TEV)电子产品对,这些电子对示威会留下清晰的信号,并在Faser上进行了清晰的信号。完整的检测器包括闪烁器,磁跟踪探测器和量热计,均使用大型LHC检测器借来的技术。这导致了对多种可能的新颗粒敏感的通用检测器。该奖项中工作的很大一部分是开发数据采集系统,触发和数据分析软件,以收集FASER的数据并从该数据中挖掘出新粒子的发现。预计这支经验丰富的团队将能够在相对较短的三年获取数据中发现新的长寿命颗粒。该团队还将与高中生的加利福尼亚州立暑期数学与科学暑期学校(COSMOS)合作,为他们提供FASER数据,以提供高能物理数据分析技术的动手经验。该奖项反映了NSF的法定任务,并被认为是通过基金会的智力和更广泛的影响来审查Criteria来通过评估来通过评估来获得的支持。
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
- DOI:10.22323/1.397.0320
- 发表时间:2021-10
- 期刊:
- 影响因子:0
- 作者:F. Neuhaus
- 通讯作者:F. Neuhaus
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)
- DOI:10.22323/1.397.0025
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:LHCf Collaborations, Berti
- 通讯作者:LHCf Collaborations, Berti
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
- DOI:10.22323/1.398.0248
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:FASER Collaboration, Ariga
- 通讯作者:FASER Collaboration, Ariga
FASER: Forward Search Experiment at the LHC
FASER:大型强子对撞机的前向搜索实验
- DOI:10.22323/1.398.0705
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:FASER Collaboration, Wang;Hu, Zhen t
- 通讯作者:Hu, Zhen t
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Shih-Chieh Hsu其他文献
Designing core–shell LiNi<sub>0.5</sub>Mn<sub>1.5</sub>O<sub>4</sub>-based cathode materials with enhanced rate capability and improved cycling stability
- DOI:
10.1016/j.apsusc.2024.161892 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:
- 作者:
Yu-Sheng Hsiao;Jen-Hsien Huang;Shih-An Liu;Jui-Hsiung Huang;Lin-Yang Weng;Sheng-Wei Liao;Chih-Wei Hu;Wei Kong Pang;Shih-Chieh Hsu;Huei Chu Weng;Yu-Ching Huang - 通讯作者:
Yu-Ching Huang
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
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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