Paper

SN2023ixf in Messier 101: the twilight years of the progenitor as seen by Pan-STARRS

Yarza, Ricardo, Gall, Christa, Ye, Christine, Yuan Qi Ni, Villar, V Ashley, Drout, Maria R, Coulter, David A, de Boer, Thomas, Chien-Cheng, Lin, Rest, Armin, Jacobson-Galán, Wynn V, Ransome, Conor L, Margutti, Raffaella, Jones, David O, Khetan, Nandita, Grayling, Matthew, Farias, Diego, Politsch, Collin A, Gao, Hua, Tartaglia, Anna, Raimundo, Sandra I, Wainscoat, Richard J, S Karthik Yadavalli, Gonzalez, Sebastian Javier, Foley, Ryan J, Auchettl, Katie, Zenati, Yossef, Chambers, Kenneth C, Kilpatrick, Charles D, Ibik, Adaeze L, Huber, Mark E

2023

Overview

The nearby type II supernova, SN2023ixf in M101 exhibits signatures of early-time interaction with circumstellar material in the first week post-explosion. This material may be the consequence of prior mass loss suffered by the progenitor which possibly manifested in the form of a detectable pre-supernova outburst. We present an analysis of the long-baseline pre-explosion photometric data in \\(g\\), \\(w\\), \\(r\\), \\(i\\), \\(z\\) and \\(y\\) filters from Pan-STARRS as part of the Young Supernova Experiment, spanning \\(\\sim\\)5,000 days. We find no significant detections in the Pan-STARRS pre-explosion light curve. We train a multilayer perceptron neural network to classify pre-supernova outbursts. We find no evidence of eruptive pre-supernova activity to a limiting absolute magnitude of \\(-7\\). The limiting magnitudes from the full set of \\(gwrizy\\) (average absolute magnitude \\(\\approx\\)-8) data are consistent with previous pre-explosion studies. We use deep photometry from the literature to constrain the progenitor of SN2023ixf, finding that these data are consistent with a dusty red supergiant (RSG) progenitor with luminosity $\\log\\left(L/L_\\odot\\right)$$\\approx\\(5.12 and temperature \\)\\approx\\(3950K, corresponding to a mass of 14-20 M\\)_\\odot$

• Publisher: Cornell University Library, arXiv.org
• Subject: Constraining / Explosions / Light curve / Luminosity / Multilayer perceptrons / Neural networks / Outbursts / Photometry