AI 中文总结
构建双星系统半解析光变曲线模型，应用于超新星前身，能推断质量转移历史、约束前身双星系统，其模型及参数推断框架封装在脚本中，可用于现有及未来发现的超新星前身。
AI 中文摘要
经历动态不稳定质量转移的双星可能会迅速收缩轨道并导致合并，整个过程通常在人类时间尺度内可观测到。我们构建了一个由恒星和致密天体吸积体组成的双星系统的半解析光变曲线模型，该模型在最终合并驱动的爆炸之前会显示出长时间上升的吸积驱动发射。我们将该模型应用于具有数年长时间上升光变曲线的相互作用超新星（SNe）的前身，如SN 2023zkd、2023fyq和2021qqp，并证明了该模型推断质量转移历史和约束前身双星系统的能力。该模型和参数推断框架封装在一个公开发布的脚本中，可应用于现有的具有长时间上升的超新星前身以及许多将通过像维拉·C·鲁宾天文台的调查发现的超新星前身。
英文摘要
A binary undergoing dynamically unstable mass transfer could rapidly shrink its orbit and lead to a merger, with the whole process often observable in human timescales. We construct a semi-analytical light curve model of binary systems composed of a star and a compact object accretor, that would display long-rising accretion-powered emission prior to a final merger-driven explosion. We apply the model to the precursors of interacting supernovae (SNe) that display long-rising light curves of years, SN 2023zkd, 2023fyq and 2021qqp, demonstrating the model's capability of inferring the mass-transfer history and constraining the progenitor binary system. The model and the parameter inference framework, encapsulated in a publicly-released script, can be applied to existing long-rising precursors of SNe as well as many SN precursors to be discovered by surveys like those from the Vera C. Rubin Observatory.
Comments15 pages, 9 figures (+ Appendix). To be submitted. Source code available at https://github.com/DTsuna/merger-light-curve-models
