S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)

探索自然界的基本组成部分及其相互作用是人类最古老、最雄心勃勃的科学努力之一。在基本粒子物理学中，迄今为止最成功的理论被称为粒子物理学的“标准模型”。欧洲核子研究中心（CERN）的大型强子对撞机（LHC）等设施代表了这一探索的巨大进步，希格斯玻色子的发现证明了这一点。这个全球科学项目的下一阶段将是高亮度大型强子对撞机（HL-LHC），它将从2026年左右开始收集数据，并持续到2030年。大型强子对撞机的主要科学目标是寻找超越标准模型的物理。在HL-LHC时代，ATLAS和CMS实验记录的数据将是发现希格斯玻色子时的10倍，碰撞次数是发现希格斯玻色子时的100倍。因此，必须在获取、管理、处理和分析HL-LHC数据的软件方面取得重大的研发进展，以实现升级后的加速器和探测器以及计划中的物理项目的科学潜力。在此背景下，高能物理软件研究与创新研究所（IRIS-HEP）将在应对HL-LHC的软件和计算挑战方面发挥主导作用。高能物理软件研究与创新研究所（IRIS-HEP）解决了国际“2020年代高能物理软件与计算研发路线图”的关键要素，并实施了2017年12月向美国国家科学基金会提交的“高能物理科学软件创新研究所（S2I2）战略计划”。IRIS-HEP将在三个高影响力领域推进研发：(1)开发用于数据重建和触发的创新算法；(2)开发高性能分析系统，减少“洞察时间”，最大限度地发挥HL-LHC物理潜力；(3)为即将到来的Exabyte时代开发数据组织、管理和访问（DOMA）系统。IRIS-HEP将继续对分布式高通量计算（DHTC）进行投资，并建立集成路径，将其研发活动交付到分布式生产基础设施中。作为一个智力中心，IRIS-HEP将努力(1)建立HEP与网络基础设施、数据科学和计算机科学社区之间的融合研究，以寻求解决HL-LHC时代HEP实验中引人注目的软件和计算挑战的新方法；(2)与来自美国大学和实验室的研究人员和学生广泛接触，强调专业发展和培训。(3)在所需的二十年里，维持HEP软件和与算法及其实现相关的基础知识。除了实现最好的HL-LHC科学之外，IRIS-HEP还将汇集更大的网络基础设施和HEP社区，以广泛相关的方式解决百亿亿次高通量计算和百亿亿字节规模数据集交叉的复杂问题，这些问题与许多新兴数据密集型需求的研究领域有关。该研究所以暑期学校和研究员项目的形式提供的教育和培训将有助于培养高素质的STEM劳动力，因为大多数学生甚至大多数博士后都带着他们的技能进入了私营部门。该项目推进了国家战略计算计划（NSCI）的目标和“利用数据革命”的目标，“利用数据革命”是国家科学基金会未来投资的十大理念之一。该项目得到了计算机和信息科学与工程理事会先进基础设施办公室以及数学和物理科学理事会物理学部的支持。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。

The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. In Elementary Particles Physics, the most successful theory to date is known as the "Standard Model" of particle physics. Facilities such as CERN's Large Hadron Collider (LHC) represent a huge step forward in this quest as evidenced by the discovery of the Higgs boson. The next phase of this global scientific project will be the High-Luminosity LHC (HL-LHC), which will collect data starting circa 2026 and continue into the 2030's. The primary science goal at the HL-LHC is to search for physics beyond the Standard Model. In the HL-LHC era, the ATLAS and CMS experiments will record 10 times as much data from 100 times as many collisions as were used to discover the Higgs boson. As such, significant R&D advances must be achieved in the software for acquiring, managing, processing and analyzing HL-LHC data to realize the scientific potential of the upgraded accelerator and detectors and the planned physics program. In this context, the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) will play a leading role to meet the software and computing challenges of the HL-LHC. The Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) addresses key elements of the international "Roadmap for HEP Software and Computing R&D for the 2020s" and implements the "Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics" submitted to the NSF in December 2017. IRIS-HEP will advance R&D in three high-impact areas: (1) development of innovative algorithms for data reconstruction and triggering; (2) development of highly performant analysis systems that reduce `time-to-insight' and maximize the HL-LHC physics potential; and (3) development of data organization, management and access (DOMA) systems for the community's upcoming Exabyte era. IRIS-HEP will sustain investments in today's distributed high-throughput computing (DHTC) and build an integration path to deliver its R&D activities into the distributed production infrastructure. As an intellectual hub, IRIS-HEP will lead efforts to (1) build convergence research between HEP and the Cyberinfrastructure, Data Science and Computer Science communities for novel approaches to address the compelling software and computing challenges of HL-LHC era HEP experiments, (2) engage broadly with researchers and students from U.S. Universities and labs emphasizing professional development and training, and (3) sustain HEP software and underlying knowledge related to the algorithms and their implementations over the two decades required. In addition to enabling the best possible HL-LHC science, IRIS-HEP will bring together the larger Cyberinfrastructure and HEP communities to address the complex issues at the intersection of Exascale high-throughput computing and Exabyte-scale datasets in ways broadly relevant to many research domains with emerging data-intensive needs. The education and training provided by the Institute in the form of summer schools and a fellows program will contribute to a highly qualified STEM workforce as most students and even most post-docs move into the private sector taking their skills with them. This project advances the objectives of the National Strategic Computing Initiative (NSCI) and the objectives of "Harnessing the Data Revolution", one of the 10 Big Ideas for Future NSF Investments. This project is supported by the Office of Advanced Infrastructure in the Directorate for Computer and Information Science and Engineering and the Division of Physics in the Directorate for Mathematical and Physical Sciences.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.