Progenitor and explosion properties of SN 2023ixf estimated based on a light-curve model grid of Type II supernovae
Takashi J. Moriya, Avinash Singh

TL;DR
This study uses a large grid of synthetic light-curve models to estimate the progenitor and explosion properties of SN 2023ixf, demonstrating a quick and effective approach for analyzing Type II supernovae in large surveys.
Contribution
It introduces a method of estimating supernova properties by comparing observed light curves with a pre-existing model grid, avoiding additional computations.
Findings
Progenitor mass estimated at 10 Msun
Explosion energy around 2-3 x 10^51 erg
Nickel mass of 0.04-0.06 Msun
Abstract
We estimate the progenitor and explosion properties of the nearby Type II SN 2023ixf using a synthetic model grid of Type II supernova light curves. By comparing the light curves of SN 2023ixf with the pre-existing grid of Type II supernovae containing about 228,000 models with different combinations of the progenitor and explosion properties, we obtain the chi2 value for every model and evaluate the properties of the models providing small values of chi2. We found that the light-curve models with the progenitor zero-age main-sequence mass of 10 Msun, the explosion energy of (2-3)e51 erg, the 56Ni mass of 0.04-0.06 Msun, the mass-loss rate of 1e-3 - 1e-2 Msun/yr with a wind velocity of 10 km/s, and the dense, confined circumstellar matter radius of (6-10)e14 cm match well to the observed light curves of SN 2023ixf. The photospheric velocity evolution of these models is also consistent…
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Taxonomy
TopicsGamma-ray bursts and supernovae
