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: Syracuse University
• 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
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320630&HistoricalAwards=false
• 关键词: MRI; Track; Development; UltraFast; Granularity

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.

该项目的重点是开发模块，这些模块为构建高粒度定时层的构建提供了精确的时间和空间信息，该模块将集成到瑞士CERN实验室的LHCB升级II量热计和未来的高亮度围墙。该仪器的发展将是富有发现潜力的雄心勃勃的物理学计划的基本要素，这将促进我们对基本颗粒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，在未来的山着人和工业工具（例如医疗设备）上广泛应用。该组将开发包含传感器及其处理电子设备的全尺寸模块，并将其集成到具有电气和机械性能的优化包装中，适合于可伸缩到大平面中。它的组件包含新型的超快传感器，并结合了复杂的信号操纵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是协同的。努力的目的是将该检测器集成到高亮度升级后的CERN LHC碰撞器的LHCB升级II中。 HL-LHC时代为许多具有里程碑意义的测量提供了前所未有的覆盖范围的可能性。高光度，加上对光子，培来，电子和正子的效率提高，这将是一种强大的组合，借助灵活的软件触发，该组合将使小组能够优化获取数据的数据到特定有趣的衰减。此外，该仪器与未来对撞机应用的量热法的基础研究需求保持一致。它也可以适应为将来的E+E-乘员构建强子识别设备。严格的规格涉及当前技术边缘的传感器和微电子特征。 对传感器的速度和辐射阻力的挑战性要求，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用机器学习技术优化的算法的速度和噪声性能具有深远的影响，这对Microelectronics的进步具有深远的影响。这些奖项通过评估NSF的智力及其授予的依据，这表明了NSF的良好依据，这是对基础的良好影响。 标准。