WoU-MMA: Multimessenger Parameter Estimation for Binary Neutron Star Mergers

WoU-MMA：双中子星合并的多信使参数估计

• 批准号: 2011725
• 负责人: David Radice
• 金额: $ 21万
• 依托单位: Pennsylvania State Univ University Park
• 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: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2011725&HistoricalAwards=false
• 关键词: WoU; MMA; Multimessenger; Parameter; Estimation

This award supports research in relativity and relativistic astrophysics and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. The detection of gravitational waves and photons from a binary neutron star merger by NSF-funded LIGO and partner observatories in August 2017 ushered in the era of multimessenger astronomy. Since then LIGO has detected a few more binary neutron star systems and many more are expected in the future. These discoveries are starting to revolutionize our understanding of, among others, high energy astrophysics phenomena, such as short gamma-ray bursts, the properties of matter under extreme conditions, and the origin of heavy elements, such as gold and platinum. However, to make fundamental progress observations need to be complemented by theoretical understanding. This project aims to build a pipeline for the joint analysis of the different messengers in multimessenger observations of neutron star mergers. To this aim, data analysis techniques and large-scale supercomputer simulations of neutron star mergers will be combined. The project will constitute the bulk of the PhD thesis of one graduate student at Penn State, who will acquire skills in high demand in the academic and industry job markets. Numerical methods developed for these simulations could also find applications in other STEM fields. Numerical simulations of neutron star and black hole spacetimes will also be used to create an immersive and interactive virtual reality exploratorium for compact objects to be used for classroom teaching and outreach.The most common multimessenger observations of neutron star mergers are expected to combine gravitational waves and UV/optical/infrared photons generated as radioactive byproducts of the nucleosynthesis process decay. This is the so-called kilonova. This project will deliver improved gravitational wave and kilonova models based on first-principle simulations and use them in the context of a joint Bayesian parameter estimation pipeline. Many-orbit high-resolution inspiral and merger simulations will be performed in full general-relativity using newly developed high-order numerical techniques based on the entropy viscosity method to deliver convergent gravitational wave strain data extending down to the post Newtonian regime and up to the kilohertz regime, where current models start to fail. The numerical relativity data will be used to construct new frequency domain phenomenological waveform models suited for Bayesian parameter estimation. Long-term merger and post-merger simulations with microphysics and subgrid turbulence models will be performed to predict the quality and quantity of the outflows that ultimately power the kilonovae as a function of the binary parameters, such as the total mass, the tidal deformability, and, in particular, the binary mass ratio. The numerical data will be combined with a semi-analytic kilonova model calibrated against full radiative transfer calculations to construct a model of the kilonova emission as a function of the binary parameters. Kilonova and new gravitational wave models will finally be combined to perform joint parameter estimation analysis of neutron star merger events.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.

该奖项支持相对论和相对论天体物理学的研究，并涉及美国国家科学基金会“宇宙之窗”大创意的优先领域。 2017 年 8 月，美国国家科学基金会 (NSF) 资助的 LIGO 和合作伙伴天文台探测到了双中子星合并产生的引力波和光子，开创了多信使天文学时代。从那时起，LIGO 又探测到了一些双中子星系统，并且预计未来还会有更多。这些发现开始彻底改变我们对高能天体物理现象（例如短伽马射线爆发）、极端条件下物质的性质以及金和铂等重元素起源的理解。然而，要取得根本性进展，观察需要得到理论理解的补充。该项目旨在建立一个管道，用于联合分析中子星合并多信使观测中的不同信使。为此，将结合数据分析技术和中子星合并的大规模超级计算机模拟。该项目将构成宾夕法尼亚州立大学一名研究生博士论文的大部分内容，该学生将获得学术和行业就业市场高需求的技能。为这些模拟开发的数值方法也可以在其他 STEM 领域找到应用。中子星和黑洞时空的数值模拟也将用于为紧凑物体创建一个身临其境的交互式虚拟现实探索馆，用于课堂教学和推广。中子星合并最常见的多信使观测预计将结合引力波和作为核合成过程衰变的放射性副产物而产生的紫外/光学/红外光子。这就是所谓的千新星。该项目将基于第一原理模拟提供改进的引力波和千新星模型，并在联合贝叶斯参数估计管道的背景下使用它们。多轨道高分辨率螺旋和合并模拟将使用基于熵粘度方法的新开发的高阶数值技术在完全广义相对论中进行，以提供向下延伸到后牛顿体系和向上延伸的收敛引力波应变数据。千赫兹状态，当前模型开始失效。数值相对论数据将用于构建适合贝叶斯参数估计的新频域唯象波形模型。将使用微物理和亚网格湍流模型进行长期合并和合并后模拟，以预测最终为千新星提供动力的流出物的质量和数量，作为二元参数的函数，例如总质量、潮汐变形能力、特别是二元质量比。数值数据将与针对全辐射传输计算校准的半解析千​​新星模型相结合，以构建作为二元参数函数的千新星发射模型。 Kilonova 和新的引力波模型最终将结合起来，对中子星合并事件进行联合参数估计分析。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影响审查标准进行评估，被认为值得支持。

项目成果

Neutrino emission from binary neutron star mergers: characterising light curves and mean energies

双中子星合并产生的中微子发射：描述光变曲线和平均能量

• DOI: 10.1140/epja/s10050-022-00743-5
• 发表时间: 2021-11-25
• 期刊: The European Physical Journal A
• 作者: M. Cusinato;F. Guercilena;A. Perego;D. Logoteta;D. Radice;S. Bernuzzi;S. Ansoldi
• 通讯作者: S. Ansoldi

Dynamical ejecta synchrotron emission as a possible contributor to the changing behaviour of GRB170817A afterglow

动态喷射物同步加速器发射可能是 GRB170817A 余辉行为变化的贡献者

• DOI: 10.1093/mnras/stab2004
• 发表时间: 2021-08
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Nedora, Vsevolod;Radice, David;Bernuzzi, Sebastiano;Perego, Albino;Daszuta, Boris;Endrizzi, Andrea;Prakash, Aviral;Schianchi, Federico
• 通讯作者: Schianchi, Federico

Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics

相对论流体动力学中从保守到原始的机器学习

• DOI: 10.3390/sym13112157
• 发表时间: 2021-11
• 期刊: Symmetry
• 作者: Dieselhorst, Tobias;Cook, William;Bernuzzi, Sebastiano;Radice, David
• 通讯作者: Radice, David

Second release of the CoRe database of binary neutron star merger waveforms

双中子星并合波形 CoRe 数据库第二次发布

• DOI: 10.1088/1361-6382/acc231
• 发表时间: 2023-03
• 期刊: Classical and Quantum Gravity
• 影响因子: 3.5
• 作者: Gonzalez, Alejandra;Zappa, Francesco;Breschi, Matteo;Bernuzzi, Sebastiano;Radice, David;Adhikari, Ananya;Camilletti, Alessandro;Vivekanandji Chaurasia, Swami;Doulis, Georgios;Padamata, Surendra;et al
• 通讯作者: et al

Exotic compact objects: The dark white dwarf

奇异的致密天体：暗白矮星

• DOI: 10.1103/physrevd.105.115034
• 发表时间: 2022-01-14
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Michael Ryan;D. Radice
• 通讯作者: D. Radice