4.7 Article

Gravitational lensing of gravitational waves: a statistical perspective

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty411

关键词

gravitational lensing; strong - gravitational waves

资金

  1. National Natural Science Foundation of China [11333003, 11390372, 11690024]
  2. Strategic Priority Program of the Chinese Academy of Sciences [XDB 23040100]
  3. National Key Program for Science and Technology Research and Development [2016YFA0400704]

向作者/读者索取更多资源

In this paper, we study the strong gravitational lensing of gravitational waves (GWs) from a statistical perspective, with particular focus on the high frequency GWs from stellar binary black hole coalescences. These are most promising targets for ground-based detectors such as Advanced Laser Interferometer Gravitational Wave Observatory (aLIGO) and the proposed Einstein Telescope (ET) and can be safely treated under the geometrical optics limit for GW propagation. We perform a thorough calculation of the lensing rate, by taking account of effects caused by the ellipticity of lensing galaxies, lens environments, and magnification bias. We find that in certain GW source rate scenarios, we should be able to observe strongly lensed GW events once per year (similar to 1 yr(-1)) in the aLIGO survey at its design sensitivity; for the proposed ET survey, the rate could be as high as similar to 80 yr(-1). These results depend on the estimate of GW source abundance, and hence can be correspondingly modified with an improvement in our understanding of the merger rate of stellar binary black holes. We also compute the fraction of four-image lens systems in each survey, predicting it to be similar to 30 per cent for the aLIGO survey and similar to 6 per cent for the ET survey. Finally, we evaluate the possibility of missing some images due to the finite survey duration, by presenting the probability distribution of lensing time delays. We predict that this selection bias will be insignificant in future GW surveys, as most of the lens systems (similar to 90 per cent) will have time delays less than similar to 1 month, which will be far shorter than survey durations.

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