Supernova host galaxy association and photometric classification of over 10,000 light curves from the Zwicky Transient Facility

TL;DR

This paper presents a large catalog of over 12,000 photometrically classified supernova light curves from the Zwicky Transient Facility, including host galaxy associations, enabling large-scale supernova population studies.

Contribution

It introduces a new catalog of supernova light curves with photometric classifications and host galaxy associations, using a random forest classifier trained on spectroscopic data.

Findings

Achieved 80% classification accuracy across four supernova types.

Catalog includes over 12,000 classified supernova-like light curves.

Provides a valuable dataset for supernova population and environment studies.

Abstract

Here we present a catalog of 12,993 photometrically-classified supernova-like light curves from the Zwicky Transient Facility, along with candidate host galaxy associations. By training a random forest classifier on spectroscopically classified supernovae from the Bright Transient Survey, we achieve an accuracy of 80% across four supernova classes resulting in a final data set of 8208 Type Ia, 2080 Type II, 1985 Type Ib/c, and 720 SLSN. Our work represents a pathfinder effort to supply massive data sets of supernova light curves with value-added information that can be used to enable population-scale modeling of explosion parameters and investigate host galaxy environments.