Glitch subtraction from gravitational wave data using adaptive spline fitting

Glitch subtraction from gravitational wave data using adaptive spline fitting
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使用自适应样条拟合从引力波数据中扣除毛刺

DOI:
10.1088/1361-6382/acd0fe
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发表时间:
2023
影响因子:
3.5
通讯作者:
Chowdhury, Mohammad A. T.
Chowdhury, Mohammad A. T.
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Mohanty, Soumya D.;Chowdhury, Mohammad A. T.

文献摘要

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引力波数据中仪器和环境来源的瞬态信号(“故障”)会提高搜索天体物理信号的误报率并降低其灵敏度。直接与天体物理信号重叠的故障会阻碍其检测并加剧参数估计误差。由于下一代探测器中可探测的天体​​物理信号所占据的数据比例将会更高,因此这种有问题的重叠可能会变得更加频繁。毛刺的这些不利影响可以通过估计并从数据中减去它们来减轻,但它们不可预测的波形和巨大的形态多样性构成了挑战。使用辅助传感器的数据作为预测器来减去故障是有效的,但不适用于大多数情况。因此,需要一种不需要辅助数据、适用于多种故障并且在重叠的情况下对天体物理信号影响最小的非参数故障缓解方法。为了应对高故障率,还希望此类方法计算速度快。我们表明,自适应样条拟合(其中自由结的放置经过优化以估计噪声数据中的平滑和非平滑曲线)提供了一种有前途的方法来满足宽带短时毛刺(这种类型经常出现)的要求。该方法在重力间谍数据库中三个不同类别的故障以及与双中子星信号 GW170817 重叠的故障上进行了演示。毛刺扣除对 GW170817 信号或注入数据的类似信号的影响可以忽略不计。
Transient signals of instrumental and environmental origins ('glitches') in gravitational wave data elevate the false alarm rate of searches for astrophysical signals and reduce their sensitivity. Glitches that directly overlap astrophysical signals hinder their detection and worsen parameter estimation errors. As the fraction of data occupied by detectable astrophysical signals will be higher in next generation detectors, such problematic overlaps could become more frequent. These adverse effects of glitches can be mitigated by estimating and subtracting them out from the data, but their unpredictable waveforms and large morphological diversity pose a challenge. Subtraction of glitches using data from auxiliary sensors as predictors works but not for the majority of cases. Thus, there is a need for nonparametric glitch mitigation methods that do not require auxiliary data, work for a large variety of glitches, and have minimal effect on astrophysical signals in the case of overlaps. In order to cope with the high rate of glitches, it is also desirable that such methods be computationally fast. We show that adaptive spline fitting, in which the placement of free knots is optimized to estimate both smooth and non-smooth curves in noisy data, offers a promising approach to satisfying these requirements for broadband short-duration glitches, the type that appear quite frequently. The method is demonstrated on glitches drawn from three distinct classes in the Gravity Spy database as well as on the glitch that overlapped the binary neutron star signal GW170817. The impact of glitch subtraction on the GW170817 signal, or those like it injected into the data, is seen to be negligible.
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DOI: --
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