论文标题

订购混乱:研究镜头模型对重力检测功能的影响

Ordering the confusion: A study of the impact of lens models on gravitational-wave lensing detection capabilities

论文作者

Janquart, Justin, More, Anupreeta, Broeck, Chris Van Den

论文摘要

当从源到观察者行驶时,引力波可以被旅行路径的大量物体偏转。当镜头足够大,源与视线与镜头紧密对齐时,波浪会经历强烈的镜头,从而导致几个具有相同频率演化的图像。这些图像随时间分开,放大并可以进行整体相移。搜索强烈的重力波已经在进行中。从本质上讲,这些搜索寻找源自同一天空位置并具有相同检测器框架参数的事件。但是,这些数量之间的一致性也可以偶然发生,从而导致了重要的混乱背景。为了减少背景和前景之间的重叠,可以包括镜头模型,从而强制执行镜头参数,从而与我们的期望保持一致。原则上,这样的模型应减少混乱背景。但是,在进行现实的搜索时,人们不知道哪种模型是正确的。使用不正确的模型可能导致真正的镜头事件的未检测。在这项工作中,我们在现实的条件下研究了如何在未保证背景下识别镜头事件。我们专注于添加模型对晶状体密度曲线的影响,并研究模型中潜在误差的影响。我们表明,在不添加镜头模型的情况下,自信地识别镜头非常困难。我们还表明,与假设没有透镜模型相比,透镜模型曲线模型的细微变化是可以忍受的,但对基础透镜种群的假设不正确会导致重大错误。我们还提出了一些策略,以提高对重力波的强镜头检测的信心。

When traveling from their source to the observer, gravitational waves can get deflected by massive objects along their travel path. When the lens is massive enough and the source aligns closely with the line-of-sight to the lens, the wave undergoes strong lensing, leading to several images with the same frequency evolution. These images are separated in time, magnified, and can undergo an overall phase shift. Searches for strongly-lensed gravitational waves are already ongoing. In essence, such searches look for events originating from the same sky location and having the same detector frame parameters. However, the agreement between these quantities can also happen by chance, leading to an important confusion background. To reduce the overlap between background and foreground, one can include lensing models, enforcing the lensing parameters to also be consistent with our expectations. In principle, such models should decrease the confusion background. However, when doing realistic searches, one does not know which model is the correct one. The use of an incorrect model could lead to the non-detection of genuinely lensed events. In this work, we investigate under realistic conditions how one can identify lensed events in the unlensed background. We focus on the impact of the addition of a model for the lens density profile and investigate the effect of potential errors in the modelling. We show that it is extremely difficult to identify lensing confidently without the addition of a lens model. We also show that slight variations in the profile of the lens model are tolerable but a model with incorrect assumptions about the underlying lens population causes significant errors compared to assuming no lens model at all. We also suggest some strategies to improve the confidence in the detection of strong lensing for gravitational waves.

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