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We present the delay time distribution (DTD) estimates of Type Ia supernovae (SNe Ia) using spatially resolved SN Ia host galaxy spectra from MUSE and MaNGA. By employing a grouping algorithm based on k-means and earth mover’s distances (EMD), we separated the host galaxy stellar population age distributions (SPADs) into spatially distinct regions and used maximum likelihood method to constrain the DTD of SN Ia progenitors. When a power-law model of the form \(DTD(t)\propto t^{s} (t>\tau )\) is used, we found an SN rate decay slope \(s=-1.41^{+0.32}_{-0.33}\) and a delay time \(\tau =120^{+142}_{-83} Myr\) . Moreover, we tested other DTD models such as a broken power-law model and a two-component power-law model and found no statistically significant support to these alternative models.

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Constraining Type Ia Supernova Delay Time with Spatially Resolved Star Formation Histories

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  • 发表日期：

    2026年

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  • Xingzhuo Chen

摘要

We present the delay time distribution (DTD) estimates of Type Ia supernovae (SNe Ia) using spatially resolved SN Ia host galaxy spectra from MUSE and MaNGA. By employing a grouping algorithm based on k-means and earth mover’s distances (EMD), we separated the host galaxy stellar population age distributions (SPADs) into spatially distinct regions and used maximum likelihood method to constrain the DTD of SN Ia progenitors. When a power-law model of the form \(DTD(t)\propto t^{s} (t>\tau )\) is used, we found an SN rate decay slope \(s=-1.41^{+0.32}_{-0.33}\) and a delay time \(\tau =120^{+142}_{-83} Myr\) . Moreover, we tested other DTD models such as a broken power-law model and a two-component power-law model and found no statistically significant support to these alternative models.