Collaborative research: Frameworks: The Einstein Toolkit ecosystem: Enabling fundamental research in the era of multi-messenger astrophysics

合作研究：框架：爱因斯坦工具包生态系统：在多信使天体物理学时代实现基础研究

• 批准号: 2004044
• 负责人: Yosef Zlochower
• 金额: $ 43.97万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2004044&HistoricalAwards=false
• 关键词: Collaborative; research; Frameworks; Einstein; Toolkit

A team of experts from five institutions (University of Illinois Urbana-Champaign, Georgia Institute of Technology, Rochester Institute of Technology, Louisiana State University, and West Virginia University) are collaborating on further development of the Einstein Toolkit, a community-driven, open-source cyberinfrastructure ecosystem providing computational tools supporting research in computational astrophysics, gravitational physics, and fundamental science. The new tools address current and future challenges in gravitational wave source modeling, improve the scalability of the code base, and support an expanded science and user community around the Einstein Toolkit.The Einstein Toolkit is a community-driven suite of research-grade Python codes for performing astrophysics and gravitational wave calculations. The code is open-source, accessible via Conda (an open source package management system) and represents a long-term investment by NSF in providing such computational infrastructure. The software is designed to simulate compact binary stars as sources of gravitational waves. This project focuses on the sustainability of the Einstein Toolkit; specific research efforts center around the development of three new software capabilities for the toolkit: • CarpetX -- a new mesh refinement driver and interface between AMReX, a software framework containing the functionality to write massively parallel block-structured adaptive mesh refinement (AMR) code, and Cactus, a framework for building a variety of computing applications in science and engineering;• NRPy+ -- a user-friendly code generator based on Python; and • Canuda -- a new physics library to probe fundamental physics. Integration of graphics processing units (GPUs) will incorporate modern heterogeneous computing devices into the system and will enhance the capability of the toolkit. The end product is sustainable through integration into the Einstein Toolkit, yet also includes an active community maintaining and enhancing the foundational components. Broader impacts are enhanced through training, documentation and a support infrastructure that reduces the barrier to adoption by the community. The team is also creating a science portal with additional educational and showcase resources. This award by the Office of Advanced Cyberinfrastructure is jointly supported by the National Science Foundation's Big Idea activities in Windows on the Universe (WoU).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.

来自五个机构（伊利诺伊大学香槟分校、格鲁吉亚理工学院、罗切斯特理工学院、路易斯安那州立大学和西弗吉尼亚大学）的专家团队正在合作进一步开发爱因斯坦工具包，这是一个社区驱动的开源网络基础设施生态系统，提供支持计算天体物理学、引力物理学和基础科学研究的计算工具。 新工具解决了引力波源建模中当前和未来的挑战，提高了代码库的可扩展性，并支持围绕Einstein Toolkit扩展的科学和用户社区。Einstein Toolkit是一个社区驱动的研究级Python代码套件，用于执行天体物理学和引力波计算。该代码是开源的，可通过Conda（一种开源软件包管理系统）访问，代表了NSF在提供此类计算基础设施方面的长期投资。 该软件旨在模拟作为引力波源的紧凑双星。 该项目的重点是爱因斯坦工具包的可持续性;具体的研究工作围绕工具包的三个新软件功能的开发：· CarpetX -一个新的网格细化驱动程序和AMReX之间的接口，AMReX是一个软件框架，包含编写大规模并行块结构自适应网格细化（AMR）代码的功能，Cactus，· NRPy+ --一个基于Python的用户友好的代码生成器;· Canuda --一个探索基础物理的新物理库。 图形处理单元的集成将把现代的异构计算设备纳入系统，并将提高工具包的能力。 最终产品是可持续的，通过集成到爱因斯坦工具包，但也包括一个活跃的社区维护和增强的基础组件。 通过培训、文件和减少社区采用障碍的支持基础设施，扩大了更广泛的影响。 该团队还创建了一个科学门户网站，提供额外的教育和展示资源。该奖项由高级网络基础设施办公室颁发，由美国国家科学基金会（National Science Foundation）的宇宙视窗（WoU）大创意活动共同支持。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

Mass-ratio and Magnetic Flux Dependence of Modulated Accretion from Circumbinary Disks

环形盘调制吸积的质量比和磁通量依赖性

• DOI: 10.3847/1538-4357/ac2229
• 发表时间: 2021
• 期刊: The Astrophysical Journal
• 作者: Noble, Scott C.;Krolik, Julian H.;Campanelli, Manuela;Zlochower, Yosef;Mundim, Bruno C.;Nakano, Hiroyuki;Zilhão, Miguel
• 通讯作者: Zilhão, Miguel

Measuring the Hubble Constant with GW190521 as an Eccentric black hole Merger and Its Potential Electromagnetic Counterpart

• DOI: 10.3847/2041-8213/abe388
• 发表时间: 2021-02
• 期刊: The Astrophysical Journal Letters
• 作者: V. Gayathri;J. Healy;J. Lange;B. O'Brien;M. Szczepańczyk;I. Bartos;M. Campanelli;S. Klimenko;C. Lousto;R. O’Shaughnessy

Circumbinary Disk Accretion into Spinning Black Hole Binaries

• DOI: 10.3847/1538-4357/abf0af
• 发表时间: 2021-01
• 期刊: The Astrophysical Journal
• 作者: F. L. Lopez Armengol;L. Combi;M. Campanelli;S. Noble;J. Krolik;Dennis B. Bowen;M. Avara;V. Mewes;H. Nakano

Hybrid waveforms for generic precessing binaries for gravitational-wave data analysis

用于引力波数据分析的通用处理二进制文件的混合波形

• DOI: 10.1103/physrevd.102.024012
• 发表时间: 2020
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Sadiq, Jam;Zlochower, Yosef;O’Shaughnessy, Richard;Lange, Jacob
• 通讯作者: Lange, Jacob

HARM3D+NUC: A New Method for Simulating the Post-merger Phase of Binary Neutron Star Mergers with GRMHD, Tabulated EOS, and Neutrino Leakage

• DOI: 10.3847/1538-4357/ac1119
• 发表时间: 2021-06
• 期刊: The Astrophysical Journal
• 作者: A. Murguia-Berthier;S. Noble;L. Roberts;E. Ramirez-Ruiz;Leonardo R. Werneck;Michael Kolacki;Z. Etienne