AI 中文总结
研究利用核心坍缩超新星高频特征进行天体物理参数估计，将分析从早期斜率扩展到高阶特征如曲率，通过实际干涉噪声和重建技术，探讨其编码的额外信息及探测器噪声影响。
AI 中文摘要
核心坍缩超新星（CCSNe）产生的引力波（GW）信号包含随机和确定性成分。其中，与原中子星（PNS）振荡相关的高频特征（HFF）已成为探测致密物质物理的可靠可观测量。以往对HFF的研究主要集中在早期斜率，用于诊断PNS收缩及其对状态方程（EOS）的依赖性。在本工作中，我们将分析扩展到早期线性区域之外。特别地，我们讨论了HFF演化的高阶特征，如曲率，如何可能编码有关PNS随时间变化的结构以及振荡模式之间转变的额外信息。利用实际干涉噪声和相干波爆发（cWB）算法在其cWB-XP实现中对检测到的候选信号的重建技术，我们说明了如何获取这些特征。通过比较不同源距离处的重建信号，我们评估了探测器噪声的相对影响。
英文摘要
Gravitational-wave (GW) signals from core-collapse supernovae (CCSNe) contain both stochastic and deterministic components. Among these, the High-Frequency Feature (HFF), associated with PNS oscillations, has emerged as a robust observable for probing dense-matter physics. Previous studies of the HFF have primarily focused on the early-time slope as a diagnostic of PNS contraction and its dependence on the equation of state (EOS). In this work, we extend the analysis beyond the early-time linear regime. In particular, we discuss how higher-order features of the HFF evolution, such as its curvature, may encode additional information about the time-dependent structure of the PNS and the transition between oscillation modes. Using real interferometric noise and reconstruction techniques on detected candidates by the coherent WaveBurst (cWB) algorithm in its cWB-XP implementation, we illustrate how such features can be accessed. By comparing reconstructed signals at different source distances, we assess the relative impact of detector noise.
Comments11 pages, 3 figures
