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.

该项目将开发用于建模中子星二进制合并的计算代码。新代码将结合流体动力学代码的效率和数值相对论代码，以产生一个可以更快，更准确地预测中子星二进制二进制合并的预期光学余星的代码。这将帮助我们进一步了解宇宙中重元素的起源。该项目还将支持开发培训材料，以在研究生和本科级别的数字相对论中开发。这项工作还将纳入集中于引力浪潮天文学的公民科学项目“黑洞@Home”。公共外展工作还将在UW-Milwaukee天文馆提出。该奖项促进了宇宙大意上窗口的目标。该项目将结合运动网格流体动力码漫画与有效的数值相对论代码senr/nrpy+。每个代码都依靠使用适当的网格对物理进行建模。该项目将集成两个代码，以允许移动网格一般相对论水动力学代码，这将是研究紧凑型对象合并的理想选择。在开发新代码后，该项目将将其应用于具有多面部性和现实状态方程的二进制中子星形合并模型。 UW-Milwaukee的PI将对天文馆的中子星和黑洞进行一般性演讲，并训练少数本科生组织和运行天文馆表演和特殊活动。西弗吉尼亚大学的PI将继续支持Senr/nrpy+的Jupyter笔记本，作为一般相对论水动力学领域的学生的教学培训工具。该项目中产生的SENR/NRPY+的任何改进都将纳入计划的“黑洞@Home”公民 - 科学项目中。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛影响的审查标准通过评估来获得支持的。