Collaborative Research: Disciplinary Improvements: FAIROS-HEP, a Research Coordination Network for Particle Physics

合作研究：学科改进：FAIROS-HEP，粒子物理学研究协调网络

• 批准号: 2226378
• 负责人: Michael Hildreth
• 金额: $ 45.21万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2226378&HistoricalAwards=false
• 关键词: Collaborative; Research; Disciplinary; Improvements; FAIROS

The FAIROS-HEP research coordination network will foster the adoption of practices and cyberinfrastructure to enable reuse and reinterpretation of high energy physics (HEP) datasets. A key mechanism that the project seeks to cultivate is that of “living publications”, distributed objects where the description of scientific results, the data on which they are based, and the computational procedures used to generate them are all available for examination, reproduction, and reuse. This and other mechanisms which the RCN would foster would facilitate distributed, asynchronous reuse of HEP research products, by means of a combined infrastructure supporting publications, data, software, analysis and workflow preservation. FAIROS-HEP builds on longstanding collaboration among the stakeholders of the extended HEP community. In the context of particle physics, a “living publication” will provide: (1) published likelihood functions and statistical models that can be used for combinations and parametric reinterpretation (which could include EFT (effective field theory) analysis once the EFT operators have been specified), (2) analysis workflows compatible with REANA (Reproducible Research Data Analysis), (3) a recast interface to the analysis workflow that would allow for kinematic reinterpretation (which is more general and encompasses all EFT analyses as well as tests of theories that predict new particles directly produced). The preserved analyses in (2) would also streamline the process by which an experiment would like to fork an analysis and implement changes (i.e. diffs) instead of starting from scratch.This award by the Office of Advanced Cyberinfrastructure is jointly supported by 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.

FAIROS-HEP 研究协调网络将促进实践和网络基础设施的采用，以实现高能物理 (HEP) 数据集的重用和重新解释。 该项目寻求培育的一个关键机制是“活出版物”，即分布式对象，其中科学结果的描述、它们所基于的数据以及用于生成它们的计算程序都可供检查、复制和重用。 RCN 将培育的这一机制和其他机制将通过支持出版物、数据、软件、分析和工作流程保存的组合基础设施，促进 HEP 研究产品的分布式、异步重用。 FAIROS-HEP 建立在扩展 HEP 社区利益相关者之间的长期合作之上。 在粒子物理学的背景下，“动态出版物”将提供：(1) 已发布的似然函数和统计模型，可用于组合和参数重新解释（一旦指定了 EFT 算子，则可以包括 EFT（有效场论）分析），(2) 与 REANA（可重复研究数据分析）兼容的分析工作流程，(3) 分析工作流程的重铸界面，允许运动学分析 重新解释（更为普遍，涵盖所有 EFT 分析以及预测直接产生新粒子的理论测试）。 (2) 中保留的分析还将简化实验想要进行分析和实施更改（即差异）的过程，而不是从头开始。该奖项由高级网络基础设施办公室颁发，并得到数学和物理科学理事会的共同支持。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进行评估，被认为值得支持。 影响审查标准。