Can pair-instability supernova models match the observations of superluminous supernovae?
Alexandra Kozyreva, S. Blinnikov

TL;DR
This study investigates if pair-instability supernova models can replicate the observed properties of superluminous supernovae, focusing on the effects of chemical mixing on light curves and spectral features.
Contribution
It demonstrates that extreme chemical mixing in PISN models can better match SLSNe observations, highlighting the importance of mixing in supernova modeling.
Findings
Extreme mixing produces faster light curves and higher temperatures.
Mixed models fit observed SLSNe PTF12dam and LSQ12dlf.
Extreme chemical redistribution may be difficult to realize in nature.
Abstract
An increasing number of so-called superluminous supernovae (SLSNe) are discovered. It is believed that at least some of them with slowly fading light curves originate in stellar explosions induced by the pair instability mechanism. Recent stellar evolution models naturally predict pair instability supernovae (PISNe) from very massive stars at wide range of metallicities (up to Z=0.006, Yusof et al. 2013). In the scope of this study we analyse whether PISN models can match the observational properties of SLSNe with various light curve shapes. Specifically, we explore the influence of different degrees of macroscopic chemical mixing in PISN explosive products on the resulting observational properties. We artificially apply mixing to the 250 Msun PISN evolutionary model from Kozyreva et al. (2014) and explore its supernova evolution with the one-dimensional radiation hydrodynamics code…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
