Published June 10, 2018 | Published + Submitted
Journal Article Open

The Redshift Completeness of Local Galaxy Catalogs

An error occurred while generating the citation.

Abstract

There is considerable interest in understanding the demographics of galaxies within the local universe (defined, for our purposes, as the volume within a radius of 200 Mpc or z ≤ 0.05). In this pilot paper, using supernovae (SNe) as signposts to galaxies, we investigate the redshift completeness of catalogs of nearby galaxies. In particular, type Ia SNe are bright and are good tracers of the bulk of the galaxy population, as they arise in both old and young stellar populations. Our input sample consists of SNe with redshift ≤0.05, discovered by the flux-limited ASAS-SN survey. We define the redshift completeness fraction (RCF) as the number of SN host galaxies with known redshift prior to SN discovery, determined, in this case, via the NASA Extragalactic Database, divided by the total number of newly discovered SNe. Using SNe Ia, we find RCF = 78 ± ^6_7% (90% confidence interval) for z < 0.03. We examine the distribution of host galaxies with and without cataloged redshifts as a function of absolute magnitude and redshift, and, unsurprisingly, find that higher-z and fainter hosts are less likely to have a known redshift prior to the detection of the SN. However, surprisingly, some L* galaxies are also missing. We conclude with thoughts on the future improvement of RCF measurements that will be made possible from large SN samples resulting from ongoing and especially upcoming time-domain surveys.

Additional Information

© 2018 The American Astronomical Society. Received 2018 April 11; revised 2018 April 17; accepted 2018 April 17; published 2018 June 7. We thank the anonymous referee as well as A. Goobar, U. Feindt, C. Pankow, M. Kasliwal, P. Nugent, E. O. Ofek, E. S. Phinney, K. Taggart, and H. Vedantham for input and helpful discussions. AAM is funded by the Large Synoptic Survey Telescope Corporation in support of the Data Science Fellowship Program. Software:emcee (Foreman-Mackey et al. 2013), corner (Foreman-Mackey 2016), matplotlib (Hunter 2007; Droettboom et al. 2018), scipy (Jones et al. 2001), pandas (McKinney 2010), CosmoCalc (Wright 2006).

Attached Files

Published - Kulkarni_2018_ApJ_860_22.pdf

Submitted - 1710.04223.pdf

Files

1710.04223.pdf
Files (1.6 MB)
Name Size Download all
md5:c136169fb1dbb3ccaa5f167c6975628c
707.1 kB Preview Download
md5:5ab2844962595e07bd54612ea14fd9c6
848.3 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023