区分宇宙学、天体物理学与系统误差：下一代观测台中原初引力波背景的贝叶斯搜索
Distinguishing cosmology, astrophysics and systematics: the Bayesian search for a primordial gravitational-wave background in next-generation observatories
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中文总结 AI 辅助
本研究利用贝叶斯搜索在宇宙探索者中探测原初引力波背景，发现波形系统误差会导致低频偏差和误判，需改进波形建模以准确恢复。
中文摘要 AI 辅助
下一代引力波观测台，如宇宙探索者（Cosmic Explorer），将提供前所未有的机会来探测宇宙学随机引力波背景，从而揭示早期宇宙的信息，这些信息无法通过其他手段获取。我们研究了在存在可区分的、非高斯的双黑洞并合前景的情况下，使用同时拟合双黑洞和背景参数的贝叶斯搜索，在宇宙探索者中测量高斯宇宙学引力波背景的前景。我们在宇宙探索者的一天模拟数据中，成功恢复了一个信噪比为5的高斯宇宙学背景，且未受到未解析信号或数据排除的污染。然而，当在我们的分析中引入波形系统误差时，我们对随机背景参数的推断变得有偏，并且可能在没有背景时错误地推断出背景的存在。这种偏差由低频（<20赫兹）下的信号失配驱动，尤其是当恢复波形缺少注入信号中包含的物理效应时。虽然我们提出了一种用于诊断测量是否会被波形系统误差强烈偏置的指标，但我们的结果表明，需要改进波形建模或其他缓解技术，才能在下一代探测器中准确恢复原初随机引力波背景。
英文摘要
Next-generation gravitational-wave observatories like Cosmic Explorer will provide an unprecedented opportunity to probe the cosmological stochastic gravitational-wave background, providing insight into the early Universe that is inaccessible with other means. We investigate the prospects for measuring a Gaussian cosmological gravitational-wave background in Cosmic Explorer in the presence of a distinguishable, non-Gaussian foreground of binary black hole mergers, using a Bayesian search that simultaneously fits binary black hole and background parameters. We successfully recover a Gaussian cosmological background with a signal-to-noise ratio of 5 in one day of simulated data in Cosmic Explorer without contamination from unresolved signals or data exclusion. However, when introducing waveform systematic errors to our analysis, our inference on the stochastic background parameters becomes biased and can falsely infer the presence of a background when there is none. The bias is driven by signal mismatches at low frequencies (<20 Hz), especially when the recovery waveform is missing physical effects included in the injected signals. While we propose a metric for diagnosing if measurements will be strongly biased by waveform systematics, our results suggest improvements in waveform modeling or other mitigation techniques will be required to accurately recover a primordial stochastic gravitational-wave background in next-generation detectors.
发表机构
- Princeton University（普林斯顿大学）
- University of Nevada, Las Vegas（内华达大学拉斯维加斯分校）
机构由 AI 辅助整理，请以论文原文为准。
