Modeling compact binary signals and instrumental glitches in gravitational wave data

Modeling compact binary signals and instrumental glitches in gravitational wave data
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对引力波数据中的紧凑二进制信号和仪器故障进行建模

DOI:
10.1103/physrevd.103.044013
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发表时间:
2021
期刊:
影响因子:
5
通讯作者:
Littenberg, Tyson B.
Littenberg, Tyson B.
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Chatziioannou, Katerina;Cornish, Neil;Wijngaarden, Marcella;Littenberg, Tyson B.

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引力波探测器中的瞬态非高斯噪声,通常被称为毛刺,当两者在时间上重合时,对探测到的信号的天体物理特性的检测和推断提出了挑战。目前的分析旨在建模和减去毛刺的数据使用灵活的,形态独立的模型,在正弦高斯小波的信号源属性推断使用模板的紧凑的二进制信号。我们提出了一种新的分析引力波数据,包含一个信号和毛刺同时建模的模板和仪器毛刺使用正弦高斯小波的紧凑的二进制信号。毛刺的模型是通用的,因此可以应用于广泛的毛刺形态,而无需任何特殊的调整。与模板的天体物理信号的同时建模使我们能够有效地分离信号的毛刺,因为我们证明了使用模拟信号注入周围的真实的O2毛刺在两个LIGO探测器。我们表明,我们新提出的分析可以分离重叠的毛刺和信号,估计紧凑的二进制参数,并提供现成的使用毛刺减去数据的下游推理分析。
Transient non-Gaussian noise in gravitational wave detectors, commonly referred to as glitches, pose challenges for detection and inference of the astrophysical properties of detected signals when the two are coincident in time. Current analyses aim toward modeling and subtracting the glitches from the data using a flexible, morphology-independent model in terms of sine-Gaussian wavelets before the signal source properties are inferred using templates for the compact binary signal. We present a new analysis of gravitational wave data that contain both a signal and glitches by simultaneously modeling the compact binary signal in terms of templates and the instrumental glitches using sine-Gaussian wavelets. The model for the glitches is generic and can thus be applied to a wide range of glitch morphologies without any special tuning. The simultaneous modeling of the astrophysical signal with templates allows us to efficiently separate the signal from the glitches, as we demonstrate using simulated signals injected around real O2 glitches in the two LIGO detectors. We show that our new proposed analysis can separate overlapping glitches and signals, estimate the compact binary parameters, and provide ready-to-use glitch-subtracted data for downstream inference analyses.
LIGO 数据中环境噪声的回归
DOI: --
发表时间: 2013
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影响因子: --
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