Collaborative Research: WoU-MMA: Toward Binary Neutron Star Mergers on a Moving-mesh

合作研究：WoU-MMA：在移动网格上实现双中子星合并

• 批准号: 2108072
• 负责人: Zachariah Etienne
• 金额: $ 22.63万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2108072&HistoricalAwards=false
• 关键词: Collaborative; Research; WoU; MMA; Toward

The project will develop a computational code for modeling the mergers of neutron star binaries. The new code will combine the efficiencies of a fluid dynamics code and a numerical relativity code to produce a code that can more quickly and accurately predict the expected optical afterglows from neutron star binary mergers. This will help us to learn more about the origin of heavy elements in the universe. The project will also support the development of training materials for numerical relativity at the graduate and undergraduate levels. The work will also be incorporated into the citizen-science project "BlackHoles@Home" that is focused on gravitational wave astronomy. Public outreach efforts will also be presented at the UW-Milwaukee planetarium. This award advances the goals of the Windows on the Universe Big Idea.The project will combine the moving-mesh hydrodynamics code MANGA with an efficient numerical relativity code SENR/NRPy+. Each code relies on using an appropriate grid to model the physics. This project will integrate the two codes to allow for a moving-mesh general relativistic hydrodynamics code that will be ideal for studying compact object mergers. Upon development of the new code, the project will apply it to models of binary neutron star mergers with both polytropic and realistic equations of state. The PI at UW-Milwaukee will give general presentations on neutron stars and black holes at the planetarium and train a small number of undergraduates to organize and run planetarium shows and special events. The PI at West Virginia University will continue to support the Jupyter notebooks for SENR/NRPy+ as pedagogical training tools for students in the field of general relativistic hydrodynamics. Any improvements in SENR/NRPy+ produced in this project will be incorporated in the planned "BlackHoles@home" citizen-science project.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.

该项目将开发一个模拟中子星星双星合并的计算代码。新的代码将联合收割机的效率相结合的流体动力学代码和数值相对论代码，以产生一个代码，可以更快，更准确地预测预期的光学余辉从中子星星二进制合并。这将有助于我们更多地了解宇宙中重元素的起源。该项目还将支持为研究生和本科生编制数值相对论培训材料。这项工作也将纳入公民科学项目“黑洞@家庭”，重点是引力波天文学。公众宣传工作也将在威斯康星大学密尔沃基天文馆提出。该项目将把动网格流体动力学代码MANGA与高效的数值相对论代码SENR/NRPy+联合收割机起来。每个代码都依赖于使用适当的网格来模拟物理。该项目将整合这两个代码，以允许一个移动网格广义相对论流体动力学代码，这将是理想的研究紧凑的物体合并。在开发新代码后，该项目将把它应用于具有多方和现实状态方程的双中子星星合并模型。在威斯康星大学密尔沃基分校的PI将在天文馆对中子星和黑洞进行一般性介绍，并培训少数本科生组织和运行天文馆表演和特别活动。在西弗吉尼亚大学的PI将继续支持SENR/NRPy+作为广义相对论流体动力学领域的学生的教学培训工具的笔记本电脑。该项目中产生的SENR/NRPy+的任何改进将被纳入计划中的“BlackHoles@home”公民科学项目。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。