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arXiv 2111.03091astro-ph.CO
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识别强透镜引力波事件的改进统计方法

Improved statistic to identify strongly lensed gravitational wave events

Anupreeta More, Surhud More

摘要:

随着探测到的引力波源数量的增加和引力波观测站灵敏度的提高,观测强透镜事件对将成为可能。透镜GW事件将具有非常精确测量的时间延迟以及放大率。如果相应的透镜系统可以被电磁识别,并且透镜和宿主星系的红移可以被测量,这样的事件可以用来约束透镜系统的重要天体物理参数。由于大多数透镜事件将具有将显著小于GW事件定位不确定性的图像分离,因此重要的是,我们开发将有助于稳健识别此类透镜事件的诊断。我们定义了一个新的统计的基础上的联合概率的透镜观测,可以用来区分透镜对事件的unlensed的。为此,我们进行了模拟的GW事件的相对时间延迟,相对放大率细分的透镜图像的类型来推断的分布。我们比较这种分布随机unlensed事件对获得类似的。我们改进的统计量可以用来改善现有的排名方法所采用的搜索管道,以向下选择联合参数估计的事件对。我们获得的分布可以进一步用于定义候选透镜事件的联合参数估计分析中的更多信息先验。

英文摘要:

As the number of detected gravitational wave sources increase with increasing sensitivity of the gravitational wave observatories, observing strongly lensed pair of events will become a real possibility. Lensed GW events will have very accurately measured time delays, as well as magnification ratios. If the corresponding lens system can be identified electromagnetically and the redshifts of the lens and the host galaxy can be measured, such events can be used to constrain important astrophysical parameters of the lens system. As most lensing events will have image separations that will be significantly smaller than the GW event localization uncertainties, it is important that we develop diagnostics that will aid in the robust identification of such lensed events. We define a new statistic based on the joint probability of lensing observables that can be used to discriminate lensed pair of events from the unlensed ones. To this end, we carry out simulations of lensed GW events to infer the distribution of the relative time delays, relative magnifications sub-divided by the type of lensed images. We compare this distribution to a similar one obtained for random unlensed event pairs. Our improved statistic can be used to improve the existing ranking approach adopted by the search pipelines in order to down-select event pairs for joint parameter estimates. The distributions we obtain can further be used to define more informative priors in joint parameter estimation analyses for candidate lensed events.

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