期刊
CLASSICAL AND QUANTUM GRAVITY
卷 31, 期 2, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/0264-9381/31/2/025012
关键词
numerical relativity; gravitational waves; effective one body; post newtonian
类别
资金
- Sherman Fairchild Foundation
- NSF [PHY-1068881, PHY-1005655, DMS-1065438, PHY-0969111, PHY-1005426, 0955825]
- Science and Technology Facilities Council [ST/H008438/1, ST/I001085/1]
- NSERC of Canada
- Canada Chairs Program
- Canadian Institute for Advanced Research
- DFG [SFB/Transregio 7]
- Ramon y Cajal Programme of the Ministry of Education and Science in Spain
- STFC GR Roller grant [ST/I002006/1]
- ERC Starting grant [279363-HiDGR, DyBHo-256667]
- Fundacao para a Ciencia e Tecnologia [SFRH/BPD/47955/2008, PTDC/FIS/116625/2010]
- FCT-Portugal [SFRH/BD/46061/2008, CERN/FP/123593/2011]
- NASA via the Einstein Postdoctoral Fellowship [PF2-130099]
- Chandra X-ray center
- NASA [NAS8-03060, 07-ATFP07-0158, NNX11AE11G, NNX13AH44G, NNX09AI81G, NNX12AN10G]
- Fortner Research Fellowship
- NSF XSEDE network [TG-PHY990007N]
- STFC
- BIS
- [293412]
- [295189]
- [24103006]
- [855315]
- [1204334]
- [1205864]
- [1212433]
- [0903973]
- [0941417]
- [AST-1028087]
- [PHY-0929114]
- [PHY-0969855]
- [PHY-0903782]
- [OCI-0832606]
- [DRL-1136221]
- [PHY-0963136]
- [AST-1002667]
- [PHY-0903631]
- [PHY-1208881]
- [PHY11-25915]
- [PHY-0960291]
- [PHY-0722703]
- [DMS-0820923]
- [PHY-1229173]
- [PHY-0847611]
- [PHY-1040231]
- [PHY-1104371]
- Fundação para a Ciência e a Tecnologia [SFRH/BPD/47955/2008, PTDC/FIS/116625/2010] Funding Source: FCT
- Grants-in-Aid for Scientific Research [24103006] Funding Source: KAKEN
- Division Of Physics
- Direct For Mathematical & Physical Scien [1040231, 1212426, 1068881, 1305730, 0963136, 1306125, 1212401, 1300903, 0969855, 0847611, 1204334] Funding Source: National Science Foundation
- Division Of Physics
- Direct For Mathematical & Physical Scien [1208881, 1104371, 1005655, 1229173, 0955825] Funding Source: National Science Foundation
- Science and Technology Facilities Council [ST/I001085/1, ST/L000962/1, ST/H008438/1, Gravitational Waves, ST/K00333X/1, ST/I002006/1, ST/J005673/1, ST/H008586/1, ST/L000962/1 Gravitational Waves] Funding Source: researchfish
- STFC [ST/I001085/1, ST/H008438/1, ST/J005673/1, ST/I002006/1, ST/L000962/1, ST/K00333X/1, Gravitational Waves, ST/H008586/1] Funding Source: UKRI
The Numerical-Relativity-Analytical-Relativity (NRAR) collaboration is a joint effort between members of the numerical relativity, analytical relativity and gravitational-wave data analysis communities. The goal of the NRAR collaboration is to produce numerical-relativity simulations of compact binaries and use them to develop accurate analytical templates for the LIGO/Virgo Collaboration to use in detecting gravitational-wave signals and extracting astrophysical information from them. We describe the results of the first stage of the NRAR project, which focused on producing an initial set of numerical waveforms from binary black holes with moderate mass ratios and spins, as well as one non-spinning binary configuration which has a mass ratio of 10. All of the numerical waveforms are analysed in a uniform and consistent manner, with numerical errors evaluated using an analysis code created by members of the NRAR collaboration. We compare previously-calibrated, non-precessing analytical waveforms, notably the effective-one-body (EOB) and phenomenological template families, to the newly-produced numerical waveforms. We find that when the binary's total mass is similar to 100-200M(circle dot),current EOB and phenomenological models of spinning, non-precessing binary waveforms have overlaps above 99% (for advanced LIGO) with all of the nonprecessing-binary numerical waveforms with mass ratios <= 4, when maximizing over binary parameters. This implies that the loss of event rate due to modelling error is below 3%. Moreover, the non-spinning EOB waveforms previously calibrated to five non-spinning waveforms with mass ratio smaller than 6 have overlaps above 99.7% with the numerical waveform with a mass ratio of 10, without even maximizing on the binary parameters.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据