课题基金 / 基金详情

Dynamical and Strong-Field Gravitational-Wave Phenomenology

Dynamical and Strong-Field Gravitational-Wave Phenomenology
动力和强场引力波现象学
批准号:
2309021
负责人:
David Nichols
金额:
$21.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-01 至 2026-05-31

项目摘要

项目成果

David Nichols的其他基金

相似基金

相关文献

中文摘要
翻译
美国国家科学基金会的激光干涉仪引力波天文台(LIGO)和合作设施观测到了来自近100个合并黑洞和中子星的引力波。这些引人注目的测量结果开辟了引力波天体物理学的新领域,使人们能够以新的方式研究引力。为了解释这些观测结果并了解爱因斯坦的广义相对论(描述引力波的基本引力理论),必须对两个黑洞合并时发出的引力波进行精确计算。该奖项支持一项结合第一性原理计算、数据分析程序以及黑洞分析和数值建模的研究工作,该研究将用于从引力波观测中提取见解。许多计算将由研究生进行,他们将接受在物理研究和其他定量领域有用的技术训练。该奖项的最后一个组成部分将是关于黑洞和引力波的一般主题的短文,以帮助向更广泛的小说和非小说读者介绍这些主题。这些文章将在PI的研究网站上免费阅读。更具体地说,这个项目的目标将是在几个方向上取得引力物理学的进展。(i) PI和学生将利用最近在渐近平坦时空中确定的守恒定律确定的一致性关系计算来自双黑洞的持久引力波信号;将评估这些信号的探测前景。(ii)他们将对被称为引力波记忆的持久可观测波进行建模,这种波最有可能从双星合并中被探测到。通过改进后的模型,他们将重新评估记忆效应在观测到的黑洞合并中的重要性。(iii)它们将改进从被暗物质密集分布包围的大质量比黑洞双星发射的引力波的计算。暗物质及其与双星的相互作用将被更精确地建模,这将有助于在数据分析和参数估计预测中产生更小的偏差。(iv)他们将开发黑洞合并的引力波形,以修改爱因斯坦的理论,涵盖合并过程的所有阶段。这些近似的波形可以帮助揭示更复杂的合并现象的更简单的图像,并可以用于广义相对论的引力波测试。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The NSF's Laser Interferometer Gravitational-Wave Observatory (LIGO) and collaborating facilities observed gravitational waves from nearly one hundred merging black holes and neutron stars. These remarkable measurements opened a new field of gravitational-wave astrophysics, which is allowing gravity to be studied in new ways. To interpret the results of these observations and learn about Einstein's general relativity, the underlying theory of gravity that describes these waves, precise calculations must be carried out of the gravitational waves that are emitted during the merger of two black holes. This award supports a research effort that combines first-principles calculations, data-analysis procedures, and analytical and numerical modeling of black holes, which will be used to extract insights from gravitational-wave observations. Many of the calculations will be carried out by graduate students, who will be trained in techniques that are useful in physics research and other quantitative areas. A final component of the award will be short essays about the general themes of black holes and gravitational waves, to help introduce these subjects to a wider audience of fiction and non-fiction readers. The writings will be free to read on the research website of the PI. More specifically, the goals of this project will be to make advances in gravitational physics in several directions. (i) The PI and students will compute persistent gravitational-wave signals from binary black holes using consistency relations determined from recently identified conservation laws in asymptotically flat spacetimes; the detection prospects of these signals will be assessed. (ii) They will model the waves of the persistent observable called the gravitational-wave memory, which has the best chance of being detected from binary mergers. With their improved model, they will reassess the significance of the memory effect in the observed black-hole mergers. (iii) They will improve the computation of gravitational waves emitted from black-hole binaries with large mass ratios that are surrounded by dense distributions of dark matter. The dark matter and its interaction with the binary will be modeled more accurately, which will help produce smaller biases in the data analysis and parameter estimation forecasts. (iv) They will develop gravitational waveforms for mergers of black holes in modifications of Einstein’s theory that cover all the stages of the merger process. These approximate waveforms can help reveal a simpler picture of the more complicated phenomenology of the merger and could be used in gravitational-wave tests of general relativity.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Dynamical and Strong-Gravity Effects from Black-Hole Binaries
  • 批准号:
    2011784
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.0万
  • 财政年份:
    2020
  • 负责人:
    David Nichols
  • 依托单位:
国内基金
海外基金
水稻茎秆粗度和穗粒数多效性基因STRONG1的调控网络与作用机制分析
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    55万元
  • 批准年份:
    2022
  • 负责人:
    张战营
  • 依托单位: