用于包层剥离型超新星的辐射流体动力学光变曲线网格与插值框架
A Radiation-Hydrodynamic Light Curve Grid and Interpolation Framework for Stripped-Envelope Supernovae
中文总结 AI 辅助
该研究构建了包层剥离型超新星的辐射流体动力学光变曲线网格与插值框架，评估发现阿内特模型参数估计不可靠，强调需用物理辐射流体动力学模型开展相关种群研究。
中文摘要 AI 辅助
我们基于爆炸氦星前身星的辐射流体动力学模拟，构建了包含8148个包层剥离型超新星（SESNe）光变曲线的网格。该网格覆盖了典型SESNe的抛射物质量范围，以及爆炸能量、放射性镍质量和物质混合程度的宽范围。我们系统研究了这些物理参数如何塑造光变曲线，并开发了基于插值的参数推断框架，使该模型网格可应用于观测数据。以模拟光变曲线作为 mock 观测，我们评估了广泛使用的阿内特模型（Arnett model）的可靠性：尽管该模型能重现光变曲线的整体形态，但推断出的抛射物质量与真实值无显著相关性；此外，尽管底层模型网格中爆炸能量与镍质量相互独立，该解析模型却产生了两者间的虚假相关性。这些结果表明，光变曲线拟合效果好并不一定意味着物理参数估计可靠，凸显了在SESNe的种群研究中，需要基于物理机制的辐射流体动力学模型。
英文摘要
We present a grid of 8,148 stripped-envelope supernovae (SESNe) light curves based on radiation hydrodynamic simulations of exploding helium-star progenitors. The grid spans an ejecta-mass range representative of typical SESNe, together with broad ranges of explosion energies, radioactive nickel masses, and degrees of material mixing. We systematically investigate how these physical parameters shape the light curves and develop an interpolation-based parameter inference framework that enables the application of the model grid to observational data. Using the simulated light curves as mock observations, we assess the reliability of the widely used Arnett model. Although it reproduces the overall light-curve morphology, the inferred ejecta masses show no significant correlation with the true values. Moreover, the analytical model produces a spurious correlation between explosion energy and nickel mass, despite these parameters being independent in the underlying model grid. These results demonstrate that good light-curve fits do not necessarily imply reliable physical parameter estimates and highlight the need for physically motivated radiation hydrodynamic models in population studies of SESNe.
