发表机构
Monash University; OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery; University of British Columbia; University of Rhode Island（莫纳什大学; OzGrav：澳大利亚研究理事会引力波发现卓越中心; 不列颠哥伦比亚大学; 罗德岛大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究引力波信号与噪声毛刺联合推断问题，提出模块化分析管道bilby_glitch，结合模拟与真实数据验证其可靠性，重新分析引力波事件GW191109和GW200129，揭示天体物理结论依赖波形近似与毛刺模型的相互作用。
AI 中文摘要
引力波观测站中的非高斯噪声瞬变（“毛刺”）降低了我们进行天体物理推断的能力。我们提出了分析管道bilby_glitch，它允许对引力波信号和毛刺进行同时贝叶斯推断。我们的框架是模块化的且基于流行的bilby框架构建，便于未来用额外的毛刺和信号模型进行扩展。我们将跨维bilby集成到框架中并讨论了三种毛刺模型。通过模拟和真实数据结合，证明bilby_glitch能产生可靠结果。然后重新分析了两个引力波事件GW191109和GW200129，结果表明事件的天体物理结论取决于波形近似和毛刺模型之间的相互作用。
英文摘要
Non-Gaussian noise transients ("glitches") in gravitational-wave observatories degrade our ability to accurately perform astrophysical inference. We present the analysis pipeline bilby_glitch, which allows for simultaneous Bayesian inference of gravitational-wave signals and glitches. Our framework is modular and built on top of the popular bilby framework, facilitating future extensions with additional glitch and signal models. We integrate transdimensional bilby into our framework and discuss three glitch models: a physically-motivated slow scattering model, and flexible sine-Gaussian and chirplet models. Using a combination of simulated and real data, we demonstrate that bilby_glitch produces reliable results. We then reanalyse two gravitational-wave events - GW191109 and GW200129 - which show signs of interesting black-hole spins, but which may also be affected by data-quality issues. Our results for GW191109 are consistent with previous analysis. For GW200129, we recover results consistent with [Payne $\textit{et al.}$, Phys. Rev. D $\textbf{106}$, 104017 (2022) ], where the evidence of spin-precession is much weaker when using the waveform approximant NRSur7dq4 in combination with wavelet-based glitch modeling. Furthermore, we show the evidence of spin precession of this event is dependent on the interplay between the waveform approximant and glitch model, since in contrast to NRSur7dq4 we find that inference with the waveform approximant IMRPhenomXPHM shows strong evidence of spin-precession when used in combination with wavelet-based glitch modeling.
Comments18 pages, 12 figures. Submitted to Physical Review D
