Towards Characterization of the Type IIP Supernova Progenitor Population: a Statistical Sample of Light Curves from Pan-STARRS1

Understand

In recent years, wide-field sky surveys providing deep multi-band imaging have presented a new path for indirectly characterizing the progenitor populations of core-collapse supernovae (SN): systematic light curve studies.

• We assemble a set of 76 grizy-band Type IIP SN light curves from Pan-STARRS1, obtained over a constant survey program of 4 years and classified using both spectroscopy and machine learning-based photometric techniques.
• We develop and apply a new Bayesian model for the full multi-band evolution of each light curve in the sample.
• We find no evidence of a sub-population of fast-declining explosions (historically referred to as "Type IIL" SNe).