The Core-collapse rate from the Supernova Legacy Survey
G. Bazin, N. Palanque-Delabrouille, J. Rich, V. Ruhlmann-Kleider, E., Aubourg, L. Le Guillou, P. Astier, C. Balland, S. Basa, R. G. Carlberg, A., Conley, D. Fouchez, J. Guy, D. Hardin, I. M. Hook, D. A. Howell, R. Pain, K., Perrett, C. J. Pritchet, N. Regnault, M. Sullivan

TL;DR
This study uses three years of Supernova Legacy Survey data to measure the core-collapse supernova rate, finding it significantly exceeds the Type Ia supernova rate at redshift 0.3, with well-sampled light curves and detailed host galaxy analysis.
Contribution
First use of the rolling search technique in SNLS to accurately measure the core-collapse supernova rate and analyze their properties relative to Type Ia supernovae.
Findings
Core-collapse supernova rate is 4.5 times higher than Type Ia rate at z=0.3.
Sample includes 117 core-collapse supernova candidates with z<0.4.
Measured core-collapse rate at z=0.3 as approximately 1.42 x 10^{-4} yr^{-1} Mpc^{-3}.
Abstract
We use three years of data from the Supernova Legacy Survey (SNLS) to study the general properties of core-collapse and type Ia supernovae. This is the first such study using the "rolling search" technique which guarantees well-sampled SNLS light curves and good efficiency for supernovae brighter than . Using host photometric redshifts, we measure the supernova absolute magnitude distribution down to luminosities fainter than normal SNIa. Using spectroscopy and light-curve fitting to discriminate against SNIa, we find a sample of 117 core-collapse supernova candidates with redshifts (median redshift of 0.29) and measure their rate to be larger than the type Ia supernova rate by a factor . This corresponds to a core-collapse rate at of $[1.42\pm 0.3(stat.)…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
