2024PASJ...76.1050M

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 228000 models with different combinations of the progenitor and explosion properties, we obtain the $\chi ^2$ value for every model and evaluate the properties of the models providing small values of $\chi ^2$. We found that the light-curve models with a progenitor zero-age main-sequence mass of $10\, {M}_\odot$, explosion energy of $(2\\!-\\!3) \times 10^{51}\:\mbox{erg}$, $^{56}\mbox{Ni}$ mass of 0.04-$0.06\, {M}_\odot$, mass-loss rate of $10^{-3}$-$10^{-2}\, {M}_\odot \:\mbox{yr}^{-1}$ with wind velocity of $10\:\mbox{km}\:\mbox{s}^{-1}$, and dense, confined circumstellar matter radius of $(6\\!-\\!10) \times 10^{14}\:\mbox{cm}$ match well to the observed light curves of SN 2023ixf. The photospheric velocity evolution of these models is also consistent with the observed velocity evolution. We note that the progenitor mass estimate could be affected by the adopted progenitor models. Although our parameter estimation is based on a pre-existing model grid and we do not perform any additional computations, the estimated parameters are consistent with those obtained by the detailed modeling of SN 2023ixf previously reported. This result shows that comparing the pre-existing model grid is a reasonable way to obtain a rough estimate for the properties of Type II supernovae. This simple way to estimate the properties of Type II supernovae will be essential in the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) era when thousands of Type II supernovae are expected to be discovered yearly.