English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In recent years, wide-field sky surveys providing deep multi-band imaginghave presented a new path for indirectly characterizing the progenitorpopulations 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 bothspectroscopy and machine learning-based photometric techniques. We develop andapply a new Bayesian model for the full multi-band evolution of each lightcurve in the sample. We find no evidence of a sub-population of fast-decliningexplosions (historically referred to as "Type IIL" SNe). However, we identify ahighly significant relation between the plateau phase decay rate and peakluminosity among our SNe IIP. These results argue in favor of a singleparameter, likely determined by initial stellar mass, predominantly controllingthe explosions of red supergiants. This relation could also be applied forsupernova cosmology, offering a standardizable candle good to an intrinsicscatter of 0.2 mag. We compare each light curve to physical models fromhydrodynamic simulations to estimate progenitor initial masses and otherproperties of the Pan-STARRS1 Type IIP SN sample. We show that correction ofsystematic discrepancies between modeled and observed SN IIP light curveproperties and an expanded grid of progenitor properties, are needed to enablerobust progenitor inferences from multi-band light curve samples of this kind.This work will serve as a pathfinder for photometric studies of core-collapseSNe to be conducted through future wide field transient searches.

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