Supernovae and their host galaxies. I. The SDSS DR8 database and statistics

TL;DR

This paper introduces a comprehensive, homogeneous database of 3876 supernovae and 3679 host galaxies from SDSS DR8, including detailed morphological, spectroscopic, and positional data to improve understanding of supernova-host galaxy relationships.

Contribution

The paper presents the creation of a large, well-defined database combining new measurements and literature data, with detailed galaxy classifications and spectra, for supernova host galaxies in SDSS DR8.

Findings

Database contains extensive morphological and spectroscopic data.

Improves understanding of supernova types and host galaxy properties.

Reduces biases by standardizing data collection methods.

Abstract

(Abridged) In this first paper of a series, we report the creation of large and well-defined database that combines extensive new measurements and a literature search of 3876 supernovae (SNe) and their 3679 host galaxies located in the sky area covered by the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). This database should be much larger than previous ones, and should contain a homogenous set of global parameters of SN hosts, including morphological classifications and measures of nuclear activity. The measurements of apparent magnitudes, diameters (D25), axial ratios (b/a), and position angles (PA) of SN host galaxies were made using the images extracted from the SDSS g-band. For each host galaxy, we analyzed RGB images of the SDSS to accurately measure the position of its nucleus to provide the SDSS name. With these images, we also provide the host galaxy's morphological type, and note if it has a bar, a disturbed disk, and whether it is part of an interacting or merging system. In addition, the SDSS nuclear spectra were analyzed to diagnose the central power source of the galaxies. Special attention was paid to collect accurate data on the spectroscopic classes, coordinates, offsets of SNe, and heliocentric redshifts of the host galaxies. The creation of this large database will help to better understand how the different types of SNe are correlated with the properties of the nuclei and global physical parameters of the host galaxies, and minimize possible selection effects and errors that often arise when data are selected from different sources and catalogs.