在下一代引力波探测器中具有核心坍缩超新星引力波信号的天体物理学
Astrophysics with core-collapse supernova gravitational wave signals in the next generation of gravitational wave detectors
摘要：
下一代引力波探测器将改善对来自核心坍缩超新星的引力波的探测前景。核心坍缩超新星涉及的复杂天体物理学对模拟这种现象提出了重大挑战。超新星模型证据提取器（SMEE）试图通过使用数值相对论波形来创建近似模型，从而捕获来自核心坍缩超新星的引力波信号的主要特征。然后，这些模型可以用于执行贝叶斯模型选择，以确定目标天体物理特征是否存在于引力波信号中。在本文中，我们扩展SMEE的模型选择能力，包括功能的引力波信号，与g-模式和常设吸积激波不稳定性。这是第一次，我们使用模拟数据测试SMEE的性能，用于计划中的未来探测器，如爱因斯坦望远镜，宇宙探测器和LIGO旅行者。此外，我们还展示了如何通过从超新星波形的频谱图而不是包含随机特征的时间序列波形创建模型来提高SMEE的性能。在第三代探测器配置中，我们发现大约50%的中微子驱动的模拟在100 kpc时可探测到，在275 kpc时可探测到10%。对于所有检测到的信号，正确地确定了爆炸机理。
英文摘要：
The next generation of gravitational wave detectors will improve the detection prospects for gravitational waves from core-collapse supernovae. The complex astrophysics involved in core-collapse supernovae pose a significant challenge to modeling such phenomena. The Supernova Model Evidence Extractor (SMEE) attempts to capture the main features of gravitational wave signals from core-collapse supernovae by using numerical relativity waveforms to create approximate models. These models can then be used to perform Bayesian model selection to determine if the targeted astrophysical feature is present in the gravitational wave signal. In this paper, we extend SMEE's model selection capabilities to include features in the gravitational wave signal that are associated with g-modes and the standing accretion shock instability. For the first time, we test SMEE's performance using simulated data for planned future detectors, such as the Einstein Telescope, Cosmic Explorer, and LIGO Voyager. Further to this, we show how the performance of SMEE is improved by creating models from the spectrograms of supernova waveforms instead of their timeseries waveforms that contain stochastic features. In third generation detector configurations, we find that about 50% of neutrino-driven simulations were detectable at 100 kpc, and 10% at 275 kpc. The explosion mechanism was correctly determined for all detected signals.
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。
