AI 中文总结
该研究利用AI辅助反演技术分析高红移Ia型超新星光谱，发现其钙丰度与红移正相关，且该变化超出核合成模拟预测，提示高红移Ia型超新星可能存在不同爆炸机制。
AI 中文摘要
Ia型超新星（SNe Ia）是宇宙化学增丰的重要贡献者，其元素丰度可作为探测宇宙时间跨度内前身星性质与爆炸物理的探针。我们采用人工智能辅助的反演技术，分析了来自超新星遗产巡天的高红移SNe Ia光谱，以及詹姆斯·韦布空间望远镜观测到的引力透镜SNe Ia光谱，将样本扩展至红移2.05。我们发现SNe Ia的钙丰度与红移呈正相关。钙丰度的红移依赖变化，超出了不同前身星金属丰度下SNe Ia核合成模拟的预测结果，这表明高红移SNe Ia可能具有与近邻SNe Ia不同的爆炸机制。
英文摘要
Type Ia supernovae (SNe Ia) are major contributors to cosmic chemical enrichment, and their elemental abundances provide a probe of progenitor properties and explosion physics across cosmic time. We employ an artificial intelligence-assisted inversion technique to analyze spectra of high-redshift SNe Ia from the Supernova Legacy Survey and of gravitationally lensed SNe Ia observed by the James Webb Space Telescope, extending the sample to redshift 2.05. We find a positive correlation between SN Ia calcium abundance and redshift. The redshift-dependent variation in calcium abundance exceeds that predicted by SN Ia nucleosynthesis simulations with varying progenitor metallicities, suggesting that high-redshift SNe Ia may undergo different explosion mechanisms from nearby SNe Ia.
Comments18 pages, 10 figures
