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HOST GALAXY IDENTIFICATION FOR SUPERNOVA SURVEYS

Gupta, RR; Kuhlmann, S; Kovacs, E; Spinka, H; Kessler, R; Goldstein, DA; Liotine, C; ... Wester, W; + view all (2016) HOST GALAXY IDENTIFICATION FOR SUPERNOVA SURVEYS. The Astronomical Journal , 152 (6) 10.3847/0004-6256/152/6/154. Green open access

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Abstract

Host galaxy identification is a crucial step for modern supernova (SN) surveys such as the Dark Energy Survey and the Large Synoptic Survey Telescope, which will discover SNe by the thousands. Spectroscopic resources are limited, and so in the absence of real-time SN spectra these surveys must rely on host galaxy spectra to obtain accurate redshifts for the Hubble diagram and to improve photometric classification of SNe. In addition, SN luminosities are known to correlate with host-galaxy properties. Therefore, reliable identification of host galaxies is essential for cosmology and SN science. We simulate SN events and their locations within their host galaxies to develop and test methods for matching SNe to their hosts. We use both real and simulated galaxy catalog data from the Advanced Camera for Surveys General Catalog and MICECATv2.0, respectively. We also incorporate "hostless" SNe residing in undetected faint hosts into our analysis, with an assumed hostless rate of 5%. Our fully automated algorithm is run on catalog data and matches SNe to their hosts with 91% accuracy. We find that including a machine learning component, run after the initial matching algorithm, improves the accuracy (purity) of the matching to 97% with a 2% cost in efficiency (true positive rate). Although the exact results are dependent on the details of the survey and the galaxy catalogs used, the method of identifying host galaxies we outline here can be applied to any transient survey.

Type: Article
Title: HOST GALAXY IDENTIFICATION FOR SUPERNOVA SURVEYS
Open access status: An open access version is available from UCL Discovery
DOI: 10.3847/0004-6256/152/6/154
Publisher version: http://dx.doi.org/10.3847/0004-6256/152/6/154
Additional information: © 2016. The American Astronomical Society. All rights reserved.
Keywords: catalogs; galaxies: general; supernovae: general; surveys
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery.ucl.ac.uk/id/eprint/1540206
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