Actions for Host galaxy identification for supernova surveys [electronic resource].

Email RIS file
Bookmark
Report an Issue

Host galaxy identification for supernova surveys [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2016.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
Article numbers 154 : digital, PDF file
Additional Creators
SLAC National Accelerator Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online

Availability

I Want It
I Want It

Finding items...

Restrictions on Access
Free-to-read Unrestricted online access
Summary
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. Here, 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.
Report Numbers
E 1.99:1358587
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
11/10/2016.
Astronomical Journal (Online) 152 6 ISSN 1538-3881 AM
Gupta, Ravi; Kuhlmann, Steve; Kovacs, Eve; Spinka, Harold; Kessler, Richard; Goldstein, Daniel; Liotine, Camille; Pomian, Katarzyna; D’Andrea, Chris; Sullivan, Mark; Carretero, Jorge; Castander, Francisco; Nichol, Robert; Finley, David; Fischer, John; Foley, Ryan; Kim, Alex; Papadopoulos, Andreas; Sako, Masao; Scolnic, Daniel; Smith, Mathew; Tucker, Brad; Uddin, Syed; Wolf, Rachel; Yuan, Fang; et al.
Funding Information
AC02-76SF00515
View MARC record | catkey: 23495048