课题基金 / 基金详情

MRI: Track I: Development of UltraFast High Granularity Modules for Timing Layers for the LHCb Upgrade 2 and Future Collider Calorimeter Applications

MRI: Track I: Development of UltraFast High Granularity Modules for Timing Layers for the LHCb Upgrade 2 and Future Collider Calorimeter Applications
MRI:轨道 I:开发用于 LHCb Upgrade 2 和未来对撞机热量计应用的计时层的 UltraFast 高粒度模块
批准号:
2320630
负责人:
Marina Artuso
金额:
$121.83万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2026-08-31

项目摘要

项目成果

Marina Artuso的其他基金

相似基金

相关文献

中文摘要
翻译
该项目的重点是开发模块,提供精确的时间和空间信息,用于构建高粒度定时层,以集成到瑞士CERN实验室的LHCb升级II量能器和未来的高亮度对撞机中。该仪器的开发将是一个雄心勃勃的物理计划的重要组成部分,该计划具有丰富的发现潜力,将促进我们对基本粒子及其相互作用的理解。高空间分辨率与精确的时间戳相结合,在未来的对撞机和工业仪器(例如医疗设备)中有着广泛的应用。该小组将开发全尺寸模块,包括传感器及其处理电子器件,集成到一个优化的封装中,具有适合扩展到大型飞机的电气和机械性能。其组件包括具有精细空间分割的新型超快传感器和结合了联合收割机复杂信号操作和数据处理的复杂电子设备。该研发项目与美国的半导体行业以及将人工智能技术应用于先进技术的许多努力协同作用。这项工作的目标是在高光度升级(HL-LHC)之后,将该探测器集成到CERN LHC对撞机的LHCb升级II中。HL-LHC时代为许多里程碑式的测量提供了前所未有的可能性。高亮度,加上光子,π介子,电子和正电子的效率提高,将是一个强大的组合,由于灵活的软件触发器,将允许该小组优化特定有趣衰变的数据。此外,该仪器符合未来对撞机应用中量热法的基本研究需求。它也可用于未来e+e对撞机的强子鉴别装置.严格的规格涉及传感器和微电子功能,这些功能处于当前技术的边缘。 对传感器的速度和抗辐射性、模拟处理的速度和低噪声性能、数字部分的复杂性、以及可能通过机器学习技术优化的算法,该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的评估被认为是值得支持的。影响审查标准。
英文摘要
This project is focused on developing modules that provide precise timing and space information for the construction of a high-granularity timing-layer to be integrated into the LHCb Upgrade II calorimeter at the CERN laboratory in Switzerland and future high-luminosity colliders. The development of this instrument will be an essential element of an ambitious physics program rich in discovery potential that will advance our understanding of elementary particles and their interactions. High spatial resolution combined with a precise time stamp has broad applications to future colliders and industrial instruments, for example medical devices. The group will develop full-size modules comprising a sensor and its processing electronics, integrated into an optimized package with electrical and mechanical properties suitable for scalability into large planes. Its components comprise novel ultrafast sensors with fine space segmentation and complex electronics that combine sophisticated signal manipulation and data processing. This R&D project is synergistic with the semiconductor industry in the United States and the many efforts of applying artificial intelligence techniques to advanced technology. The goal of the effort is to integrate this detector in the LHCb Upgrade II at the CERN LHC collider following the high-luminosity upgrade (HL-LHC). The HL-LHC era offers the possibility of unprecedented reach in many landmark measurements. The high luminosity, combined with increased efficiency for photons, pions, electrons, and positrons, will be a formidable combination that, thanks to the flexible software trigger, will allow the group to optimize the data taking to specific interesting decays. In addition, this instrument is aligned with basic research needs in calorimetry for future collider applications. It can also be adapted to construct hadron identification devices for future e+e- colliders. The stringent specifications involve sensor and microelectronics features that are at the edge of current technologies. Challenging requirements on the speed and radiation resistance on the sensors, speed and low noise performance of the analog processing, complexity of the digital section, and encompassing algorithms possibly optimized with machine-learning techniques have far-reaching implications for advancement in microelectronics.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
New Physics with Precision Measurements of b and c Quarks at LHCb
  • 批准号:
    2102879
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $402.1万
  • 财政年份:
    2021
  • 负责人:
    Marina Artuso
  • 依托单位:
New Interactions and New Particles with LHCb
  • 批准号:
    1803004
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $370.0万
  • 财政年份:
    2018
  • 负责人:
    Marina Artuso
  • 依托单位:
Collaborative Research: Construction of the Upstream Tracker for the LHCb Upgrade
  • 批准号:
    1433122
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $459.54万
  • 财政年份:
    2014
  • 负责人:
    Marina Artuso
  • 依托单位:
MRI: Development of Hybrid Pixel Modules for the LHCb Upgrade
  • 批准号:
    0922954
  • 项目类别:
    Standard Grant
  • 资助金额:
    $54.08万
  • 财政年份:
    2009
  • 负责人:
    Marina Artuso
  • 依托单位:
海外基金