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Maximizing Science Output of LIGO: Improved Detectors and Data Analysis

Maximizing Science Output of LIGO: Improved Detectors and Data Analysis
最大化 LIGO 的科学产出:改进的探测器和数据分析
批准号:
1708212
负责人:
Yanbei Chen
金额:
$40.5万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2020-07-31

项目摘要

项目成果

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中文摘要
翻译
这是一个支持激光干涉引力波天文台(LIGO)的研究项目,旨在通过制定改进LIGO探测器的战略以及开发和实施分析LIGO数据的新方法,最大限度地提高其科学产出。该项目将:(i)有助于精密测量技术的进步,(ii)使LIGO能够加深我们对广义相对论的理解,(iii)在引力和量子物理学之间的界面上推动实验物理学的前沿。该项目将由加州理工学院相对论(CaRT)小组进行,并将作为年轻物理学家和天体物理学家的培训基地,教授他们各种各样的研究技术。 CaRT的成员还将开展广泛的活动,接触更广泛的科学界和公众。更具体地说,该项目将包括四个方向。(A)它将制定和评估提高LIGO灵敏度的创新方法,研究如何升级先进的LIGO探测器,并发明新的量子计量技术用于未来的探测器。该计划还将探索引力波(GW)探测的新方法,探索人类大小物体的量子行为,并在量子领域为宏观物体寻找新的物理学。(B)光谱爱因斯坦代码(SpEC)的数值相对论二元黑洞模拟将用于LIGO数据分析:(i)LIGO探测的后续模拟将用于验证唯象波形模型的准确性,探索这些模型的参数偏差,并根据需要执行替代参数估计策略;及(ii)替代波形模型,即在数值相关性波形之间进行插值,以产生所需参数的波形,达到高精度,将被应用于LAL,并用于GW 150914的参数估计研究,GW 151226和未来事件。 (C)更有效的搜索算法将被设计用于LIGO对连续引力波的搜索,部分是通过适当地综合这一领域的几个最新发展。(D)广义相对论的各个方面将使用LIGO数据进行测试和演示,包括:重建引力波的色散关系,通过测量潮汐耦合探测黑洞的结构,检测记忆效应,以及从探测到的事件集合中寻找广义相对论的广义偏差。
英文摘要
This is a research project in support of the Laser Interferometer Gravitational-wave Observatory (LIGO), aimed at maximizing its scientific output, by the formulation of strategies for improving LIGO detectors and the development and implementation of new ways to analyze LIGO data. This project will: (i) contribute to the advancement of precision measurement technology, (ii) allow LIGO to deepen our understanding of general relativity, and (iii) push the frontier of experimental physics at the interface between gravitational and quantum physics. This project will be carried out by the Caltech Relativity Theory (CaRT) group and will serve as a training ground for young physicists and astrophysicists, by teaching them a wide variety of research techniques. Members of the CaRT will also pursue a wide range of activities that reach out to the broader scientific community and the general public.More specifically, this project will consists of four directions. (A) It will formulate and evaluate innovative approaches to improving LIGO's sensitivity, by studying how Advanced LIGO detectors should be upgraded, and by inventing new quantum metrology techniques for use in future detectors. The program will also explore new approaches to gravitational wave (GW) detection, and explore the quantum behavior of human-sized objects, and search for new physics for macroscopic objects in the quantum regime. (B) Numerical relativity binary black hole simulations from the Spectral Einstein Code (SpEC) will be used for LIGO data analysis: (i) Simulations following up on LIGO detections will be used to verify the accuracy of phenomenological waveform models, to explore parameter biases of these models, and to perform alternative parameter estimation strategies as needed; and (ii) Surrogate waveform models, which interpolate between numerical relativity waveforms to produce a waveform at requested parameters to high accuracy, will be implemented into LAL and be used in parameter estimation studies on GW150914, GW151226, and future events. (C) More efficient search algorithms will be designed for LIGO searches for continuous gravitational waves, in part by appropriately synthesizing several recent developments in this area. (D) Aspects of general relativity will be tested and demonstrated using LIGO data, including: reconstructing the dispersion relation of gravitational waves, probing the structure of black holes via measuring tidal coupling, detecting the memory effect, and search for general deviations from general relativity, from an ensemble of detected events.
期刊论文(27)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1103/physrevd.102.044055
发表时间: 2020-04
期刊: Physical Review D
影响因子: 5
作者: [S. Ossokine;A. Buonanno;S. Marsat;R. Cotesta;S. Babak;T. Dietrich;R. Haas;I. Hinder;H. Pfeiffer;M. Pürrer;Charles J. Woodford;M. Boyle;Lawrence E. Kidder;M. Scheel;B. Szil'agyi]
通讯作者: S. Ossokine;A. Buonanno;S. Marsat;R. Cotesta;S. Babak;T. Dietrich;R. Haas;I. Hinder;H. Pfeiffer;M. Pürrer;Charles J. Woodford;M. Boyle;Lawrence E. Kidder;M. Scheel;B. Szil'agyi
DOI: 10.1103/physrevd.98.124006
发表时间: 2018-08
期刊: Physical Review D
影响因子: 5
作者: [B. Pang;Yanbei Chen]
通讯作者: B. Pang;Yanbei Chen
Accurate inspiral-merger-ringdown gravitational waveforms for nonspinning black-hole binaries including the effect of subdominant modes
非自旋黑洞双星的精确吸气-合并-衰荡引力波形,包括次主模的影响
DOI: 10.1103/physrevd.96.124010
发表时间: 2017
期刊: Physical Review D
影响因子: 5
作者: [Mehta, Ajit Kumar, Mishra, Chandra Kant, Varma, Vijay, Ajith, Parameswaran]
通讯作者: Ajith, Parameswaran
Gravitational waveforms of binary neutron star inspirals using post-Newtonian tidal splicing
使用后牛顿潮汐拼接的双中子星螺旋引力波形
DOI: 10.1103/physrevd.102.024031
发表时间: 2020
期刊: Physical Review D
影响因子: 5
作者: [Barkett, Kevin, Chen, Yanbei, Scheel, Mark A., Varma, Vijay]
通讯作者: Varma, Vijay
共 24 条
    WOU-MMA: Maximizing Science Output of LIGO: Data Analysis and Improved Detectors
    • 批准号:
      2309231
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $42.0万
    • 财政年份:
      2023
    • 负责人:
      Yanbei Chen
    • 依托单位:
    WOU-MMA: Maximizing Science Output of LIGO: Data Analysis and Improved Detectors
    • 批准号:
      2011968
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $40.5万
    • 财政年份:
      2020
    • 负责人:
      Yanbei Chen
    • 依托单位:
    Conference Support Grant: Numerical Relativity beyond General Relativity
    • 批准号:
      1759835
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.0万
    • 财政年份:
      2018
    • 负责人:
      Yanbei Chen
    • 依托单位:
    Collaborative Research: The Next Generation of Gravitational Wave Detectors
    • 批准号:
      1836809
    • 项目类别:
      Standard Grant
    • 资助金额:
      $32.0万
    • 财政年份:
      2018
    • 负责人:
      Yanbei Chen
    • 依托单位:
    国内基金
    海外基金
    科学传播类:基于大科学装置“中国天眼”的AI for science新型科普平台建设
    • 批准号:
      T2241020
    • 项目类别:
      专项项目
    • 资助金额:
      10.00万元
    • 批准年份:
      2022
    • 负责人:
      毛睿
    • 依托单位:
    SCIENCE CHINA: Earth Sciences
    SCIENCE CHINA Chemistry
    基于e-Science的民族信息资源融合与语义检索研究
    • 批准号:
      61262071
    • 项目类别:
      地区科学基金项目
    • 资助金额:
      46.0万元
    • 批准年份:
      2012
    • 负责人:
      甘健侯
    • 依托单位: