标题： 家庭纠纷：IIP型超新星兄弟是否在它们的距离上达成一致？ 显示英文标题

标题： Family dispute: do Type IIP supernova siblings agree on their distance?

摘要： 上下文：II型超新星通过膨胀光球方法提供了一种直接估算距离的方式，该方法独立于宇宙距离尺度。 一种最近引入的基于高斯过程的方法允许快速且精确地建模光谱时间序列，这使得准确且计算成本低的基于II型的绝对距离测定成为可能。 目标：本文的目标是通过使用超新星兄弟的光谱时间序列，即在同一个宿主星系中爆发的超新星，对这种新的建模技术与距离估计进行经验评估。 方法：我们使用一种最近开发的光谱模拟代码，该代码训练于\textsc{时间机器}辐射转移模型，并能够快速进行最大似然参数估计和光谱拟合。 在计算了超新星的相关物理参数后，我们应用膨胀光球方法来估算它们的距离。 最后，我们通过应用贝叶斯因子的形式来测试所得值的一致性。 结果：基于每个星系中的两个超新星，估算了四个不同宿主星系的距离。 不仅对于每个超新星兄弟对来说，这些距离在误差范围内是一致的，而且在两个宿主的情况下，精度优于5%。 结论：尽管我们使用的文献数据并非专门针对我们分析的要求，但最终估计结果的一致性表明该方法是稳健的，并能够推断出精确且一致的距离。 通过使用高质量的光谱时间序列，这种方法可以提供独立于距离尺度的精确距离估计，这对宇宙学具有很高的价值。 显示英文摘要

摘要： Context: Type II supernovae provide a direct way to estimate distances through the expanding photosphere method, which is independent of the cosmic distance ladder. A recently introduced Gaussian process-based method allows for a fast and precise modelling of spectral time series, which puts accurate and computationally cheap Type II-based absolute distance determinations within reach. Aims: The goal of the paper is to assess the internal consistency of this new modelling technique coupled with the distance estimation empirically, using the spectral time series of supernova siblings, i.e. supernovae that exploded in the same host galaxy. Methods: We use a recently developed spectral emulator code, which is trained on \textsc{Tardis} radiative transfer models and is capable of a fast maximum likelihood parameter estimation and spectral fitting. After calculating the relevant physical parameters of supernovae we apply the expanding photosphere method to estimate their distances. Finally, we test the consistency of the obtained values by applying the formalism of Bayes factors. Results: The distances to four different host galaxies were estimated based on two supernovae in each. The distance estimates are not only consistent within the errors for each of the supernova sibling pairs, but in the case of two hosts they are precise to better than 5\%. Conclusions: Even though the literature data we used was not tailored for the requirements of our analysis, the agreement of the final estimates shows that the method is robust and is capable of inferring both precise and consistent distances. By using high-quality spectral time series, this method can provide precise distance estimates independent of the distance ladder, which are of high value for cosmology.