NSCI SI2-SSE: The N-Jettiness Software Framework for Precision Perturbative QCD Calculations in Particle and Nuclear Physics

该项目将开发所需的计算工具，以解释来自粒子加速器（如世界上最大和最强大的大型强子对撞机（LHC））的日益精确的仪器数据。 这些计算将在最小尺度上推进我们的物理学知识，并可能揭示测量与理论（粒子物理学的标准模型）之间的偏差。 对最近发现的希格斯玻色子的详细审查和对标准模型偏差的搜索将在未来几十年指导物理学界。 这项计划的成功将依赖于日益复杂和精确的理论计算。 用美国粒子物理项目优先级小组（P5）描述高能物理未来十年的报告的话说：“希格斯粒子的全部发现潜力将通过对希格斯粒子性质的高精度研究来释放。“在这种精度下实现预测的困难是一个巨大的理论和计算挑战。 项目成员开发了一种新的方法来进行必要的计算，特别适合在全国最大的高性能计算系统上运行。 这种方法使以前无法获得的结果成为可能，并且很有希望在未来取得类似的快速进展。 该项目中的软件开发将提供回答基础物理学面临的一些最突出的问题所需的工具：希格斯玻色子的潜在起源是什么？ 我们能在LHC上发现暗物质吗？ 是什么微观机制使质子产生了它所观察到的自旋？ 通过年轻科学家参与回答这些问题，年轻一代将在应用尖端计算知识来回答未来的科学问题进行培训。该项目的主要目标是开发和部署代码，将N-jettiness减法方法纳入微扰QCD计算，以满足粒子和核物理对撞机实验日益增长的精度需求。 这个理论框架非常有效地利用了以前社区在软件开发中的投资，将公开可用的次前导阶（NLO）代码扩展到次前导阶（NNLO），其中扩展参数是强耦合常数。 这一进步将其可实现的理论精度提高了一个数量级，同时保持了用户社区熟悉的界面。 该项目的具体目标如下：将大型强子对撞机喷流产生过程的NNLO修正公开发布为一个既快速又方便用户的公开模拟代码;扩大DISTRESS的功能，这是一个为RHIC和未来电子离子对撞机的精确模拟而设计的新代码;为未来的多核计算架构准备这些精确的仿真工具，这些架构的特点是每核内存更小。 N-jettiness减法方法针对美国政府投入巨资的并行计算架构进行了优化，因此推进了国家战略计算计划的目标。该项目由计算机信息科学与工程局高级网络基础设施办公室支持&，数学和物理科学理事会物理司和多学科活动办公室。

This project will develop computational tools needed to interpret increasingly precise instrument data from particle accelerators such as the world's largest and most powerful, the Large Hadron Collider (LHC). These computations will advance our knowledge of physics at the smallest scales and may potentially reveal deviations between measurements and theory (the Standard Model of particle physics). The detailed scrutiny of the recently-discovered Higgs boson and searches for deviations from the Standard Model will guide the physics community for the coming decades. The success of this program will rely upon increasingly intricate and precise theoretical calculations. In the words of the U.S. Particle Physics Project Prioritization Panel (P5) report which describes the next decade of high energy physics: "The full discovery potential of the Higgs will be unleashed by percent-level precision studies of the Higgs properties." The difficulty in achieving predictions at this precision is an enormous theoretical and computational challenge. The project members have developed a novel approach to the necessary calculations that is especially adapted to run on the nation's largest high-performance computing systems. This method has made previously unobtainable results possible, and there is great promise for similar future rapid progress. The software development in this project will provide the tools needed to answer some of the most outstanding issues facing fundamental physics: What is the underlying origin of the Higgs boson? Can we discover dark matter at the LHC? What is the microscopic mechanism which gives the proton its observed spin? Through the involvement of junior scientists in answering these questions the younger generation will be trained in applying cutting-edge computing knowledge to answer future scientific questions.The primary goal of this project is the development and deployment of codes incorporating the N-jettiness subtraction approach to perturbative QCD calculations in order to address the ever-increasing precision needs of collider experiments in particle and nuclear physics. This theoretical framework very effectively uses previous community investments in software development by extending publicly-available next-to-leading-order (NLO) codes to next-to-next-to-leading order (NNLO), where the expansion parameter is the strong coupling constant. This advance improves their achievable theoretical precision by an order of magnitude, while maintaining the interface familiar to the user community. The specific objectives of this project are as follows: the public release of NNLO corrections for jet production processes at the LHC into a public simulation code that is both fast and user-friendly; the expansion of the functionality of DISTRESS, a new code designed for precision simulations for RHIC and a future electron-ion-collider; the preparation of these precision simulation tools for future multi-core computing architectures that feature smaller memory per core. The N-jettiness subtraction approach is optimized for the massively-parallel computing architectures in which the United States government has invested heavily, and therefore advances the goals of the National Strategic Computing Initiative.This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science and Engineering, the Physics Division and Office of Multidisciplinary Activities in the Directorate of Mathematical and Physical Sciences.