A Framework for Data Intensive Discovery in Multimessenger Astrophysics

多信使天体物理学中的数据密集型发现框架

• 批准号: 1934752
• 负责人: Patrick Brady
• 金额: $ 280万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934752&HistoricalAwards=false
• 关键词: Framework; Data; Intensive; Discovery; Multimessenger

This is the conceptualization phase for a Scalable Cyberinfrastructure Institute for Multi-Messenger Astrophysics (SCIMMA). SCIMMA is a collaboration between data scientists, computer scientists, astronomers, astro-particle physicists, and gravitational wave physicists. It leverages NSF investments in astronomical and multi-messenger facilities, and in advanced cyberinfrastructure. Along with achieving key scientific goals and consulting with relevant collaborations and stakeholders, the conceptualization of SCIMMA includes developing algorithms, databases, and computing and networking cyberinfrastructure, to support both observations and their interpretation. This phase includes prototyping a SCIMMA education and outreach center, and presenting accessible digests of the goals and achievements of the institute. The team will be preparing novel curricula at the undergraduate and graduate levels, and the group will support graduate student fellowships for short duration projects.Multi-messenger astrophysics (MMA) is a data-intensive science in its infancy, but already providing revolutionary insights. At the current tipping point, timely investments in cyberinfrastructure for key MMA facilities will enable a torrent of new discoveries. A key goal for SCIMMA is the efficient, rapid, and routine discovery of electromagnetic emission via coordinated follow-up of gravitational wave events. This real-time science needs co-analysis of disparate datasets and the autonomous coordination of diverse follow-up in a seamless fashion. SCIMMA balances rapid prototyping, novel algorithm development, and software sustainability. The rapid-prototype team, tasked to use existing resources to meet immediate goals, is closely integrated with the cyberfoundations team, which will architect new algorithms and deploy new technologies. Software sustainability is a foundational element of the design process, since the institute and its supporting cyberinfrastructure will persist for a decade or more, and both teams will adopt this principle. SCIMMA in full operation will provide the community with consulting services and bring both existing and new MMA activities to maximal interoperability.This project is part of the National Science Foundation's Big Idea activities in Harnessing the Data Revolution (HDR) and Windows on the Universe - The Era of Multi-Messenger Astrophysics (WoU-MMA).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.

这是多信使天体物理学可扩展网络基础设施研究所（SCIMMA）的概念化阶段。 SCIMMA是数据科学家，计算机科学家，天文学家，天体粒子物理学家和引力波物理学家之间的合作。 它利用了NSF在天文和多信使设施以及先进网络基础设施方面的投资。 沿着实现关键科学目标和与相关合作和利益相关者协商，SCIMMA的概念化包括开发算法，数据库以及计算和网络网络基础设施，以支持观测及其解释。 这一阶段包括建立SCIMMA教育和外展中心的原型，并展示该研究所的目标和成就。 该团队将为本科生和研究生准备新颖的课程，并为短期项目的研究生奖学金提供支持。多信使天体物理学（MMA）是一门处于起步阶段的数据密集型科学，但已经提供了革命性的见解。 在目前的临界点，及时投资于关键MMA设施的网络基础设施将带来大量新发现。 SCIMMA的一个关键目标是通过协调引力波事件的后续行动来有效，快速和常规地发现电磁辐射。 这种实时科学需要对不同的数据集进行共同分析，并以无缝的方式自主协调各种后续行动。 SCIMMA平衡了快速原型、新颖算法开发和软件可持续性。 快速原型团队的任务是利用现有资源实现短期目标，它与网络基金会团队紧密结合，后者将设计新算法并部署新技术。 软件可持续性是设计过程的基本要素，因为研究所及其支持的网络基础设施将持续十年或更长时间，两个团队都将采用这一原则。 SCIMMA的全面运作将为社区提供咨询服务，并使现有的和新的MMA活动达到最大的互操作性。该项目是美国国家科学基金会利用数据革命（HDR）和宇宙窗口-多信使天体物理学时代（WoU-MMA）的大创意活动的一部分。该奖项反映了NSF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。

项目成果

Collaborative experience between scientific software projects using Agile Scrum development

• DOI: 10.1002/spe.3120
• 发表时间: 2021-01
• 期刊: Software: Practice and Experience
• 作者: Amanda L. Baxter;S. BenZvi;W. Bonivento;Adam Brazier;Michael Clark;A. Coleiro;D. Collom;M. Colomer-Molla;B. Cousins;Aliwen Delgado Orellana;D. Dornic;V. Ekimtcov;Shereen ElSayed;A. Gallo Rosso;P. Godwin;S. Griswold;A. Habig;Remington Hill;S. Horiuchi;D. A. Howell;Margaret W. G. Johnson;M. Jurić;J. Kneller;A. Kopec;C. Kopper;V. Kulikovskiy;M. Lamoureux;R. Lang;S. Li;M. Lincetto;Lindy Lindstrom;M. Linvill;C. McCully;J. Migenda;D. Milisavljevic;S. Nelson;R. Novoseltseva;E. O’Sullivan;D. Petravick;B. Pointon;N. Raj;A. Renshaw;J. Rumleskie;T. Sonley;R. Tapia;J. Tseng;C. Tunnell;G. Vannoye;C. Vigorito;C. Virtue;Christopher N. Weaver;K. Weil;L. Winslow;R. Wolski;Xun-Jie Xu;Y. Xu