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arXiv 2403.00441gr-qc
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利用非线性记忆增强引力波参数估计:打破距离-倾角简并

Enhancing Gravitational Wave Parameter Estimation with Non-Linear Memory: Breaking the Distance-Inclination Degeneracy

Yumeng Xu, Maria Rosselló-Sastre, Shubhanshu Tiwari, Michael Ebersold, Eleanor Z Hamilton, Cecilio García-Quirós, Héctor Estellés, Sascha Husa

AI总结:

本文提出利用非线性记忆效应打破双致密天体并合引力波信号中的光度距离-倾角简并,并通过约化与完整参数空间注入研究验证其在高信噪比及未来 LIGO A# 探测中的增益。

摘要:

在本研究中,我们研究了非线性记忆效应在引力波(GW)参数估计中的作用,特别是探讨了其在双天体并合事件中打破光度距离与倾角之间简并的能力。受引力波探测数量快速增长以及引力波观测站灵敏度不断提高的推动,提升宇宙学和天体物理测量的精度至关重要。我们提出利用非线性记忆效应作为增强参数估计精度的新方法;该效应是引力波信号中一种细微而持久的特征,源于已辐射引力波的累积影响。通过一系列全面的注入研究(涵盖约化参数空间和完整参数空间),我们在多种场景下评估了非线性记忆对于对齐自旋系统的有效性。我们的研究结果表明,非线性记忆在解决倾角-距离简并方面具有显著潜力,尤其适用于当前一代探测器中高信噪比(SNR > 90)的事件,或在未来探测器灵敏度(如计划中的 LIGO A# 升级)背景下距离小于 1 Gpc 的事件。结果还表明,在参数估计中忽略非线性记忆可能会在未来的 LIGO A# 探测中引入显著的系统误差。这一观察对于下一代探测器将具有更重要的意义,凸显了在引力波模型中纳入非线性记忆对于实现引力波(GW)天文学高精度测量的重要性。

英文摘要:

In this study, we investigate the role of the non-linear memory effect in gravitational wave (GW) parameter estimation, particularly we explore its capability to break the degeneracy between luminosity distance and inclination angle in binary coalescence events. Motivated by the rapid growth in GW detections and the increasing sensitivity of GW observatories enhancing the precision of cosmological and astrophysical measurements is crucial. We propose leveraging the non-linear memory effect -- a subtle, persistent feature in the GW signal resulting from the cumulative impact of emitted gravitational waves -- as a novel approach to enhance parameter estimation accuracy. Through a comprehensive series of injection studies, encompassing both reduced and full parameter spaces, we evaluate the effectiveness of non-linear memory in various scenarios for aligned-spin systems. Our findings demonstrate the significant potential of non-linear memory in resolving the inclination-distance degeneracy, particularly for events with high signal-to-noise ratios (SNR $>$ 90) for the current generation of detectors or closer than 1 Gpc in the context of future detector sensitivities such as the planned LIGO A$^\sharp$ upgrade. The results also suggest that excluding non-linear memory from parameter estimation could introduce significant systematics in future LIGO A$^\sharp$ detections. This observation will hold even greater weight for next-generation detectors, highlighting the importance of including non-linear memory in GW models for achieving high-accuracy measurements for gravitational wave (GW) astronomy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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