论文标题

重力波数据中重叠信号和故障的准确建模和缓解措施

Accurate modeling and mitigation of overlapping signals and glitches in gravitational-wave data

论文作者

Hourihane, Sophie, Chatziioannou, Katerina, Wijngaarden, Marcella, Davis, Derek, Littenberg, Tyson, Cornish, Neil

论文摘要

重力波检测器的灵敏度的提高导致天体物理信号检测率以及“小故障”速率的提高。瞬态和非高斯检测器噪声。检测器中信号和故障的时间重叠为推理分析带来了挑战,通常假设仅存在高斯检测器噪声。在这项研究中,我们对最近提出的方法的有效性进行了广泛的探索,该方法用正弦波斯波的小故障对故障进行建模,同时用紧凑型二进制波形模板对信号进行建模。我们探索了广泛的故障家族和信号形态,并证明了小故障和信号的关节建模(分别具有小波和模板)可以可靠地分开两者。我们发现,影响参数估计最大的故障也是由于其紧凑的时频签名而被此小波良好建模的故障。作为进一步的测试,我们研究了该分析对波形系统的鲁棒性,例如由于排除高阶模式和自旋细分效应而产生的波形系统。我们的分析提供了信号参数的估计。从数据中减去的故障波形;并评估某些检测到的过量功率是由故障,信号还是两者组成。我们分析了低显着性触发器(191225_215715和200114_020818),发现它们都与与高质量信号重叠的故障一致。

The increasing sensitivity of gravitational-wave detectors has brought about an increase in the rate of astrophysical signal detections as well as the rate of "glitches"; transient and non-Gaussian detector noise. Temporal overlap of signals and glitches in the detector presents a challenge for inference analyses that typically assume the presence of only Gaussian detector noise. In this study we perform an extensive exploration of the efficacy of a recently proposed method that models the glitch with sine-Gaussian wavelets while simultaneously modeling the signal with compact-binary waveform templates. We explore a wide range of glitch families and signal morphologies and demonstrate that the joint modeling of glitches and signals (with wavelets and templates respectively) can reliably separate the two. We find that the glitches that most affect parameter estimation are also the glitches that are well modeled by such wavelets due to their compact time-frequency signature. As a further test, we investigate the robustness of this analysis against waveform systematics like those arising from the exclusion of higher-order modes and spin-precession effects. Our analysis provides an estimate of the signal parameters; the glitch waveform to be subtracted from the data; and an assessment of whether some detected excess power consists of a glitch, signal, or both. We analyze the low-significance triggers (191225_215715 and 200114_020818) and find that they are both consistent with glitches overlapping high-mass signals.

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