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Title: Host Galaxy Identification for Supernova Surveys

Journal Article · · The Astronomical Journal (Online)
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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.

Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
Dark Energy Survey (DES) Collaboration; DES
Grant/Contract Number:
AC02-05CH11231; AC02-76SF00515; AC02-07CH11359
OSTI ID:
1474982
Alternate ID(s):
OSTI ID: 1260389; OSTI ID: 1358587
Report Number(s):
FERMILAB-PUB-16-124-AE-PPD; arXiv:1604.06138; ark:/13030/qt34x239rw
Journal Information:
The Astronomical Journal (Online), Vol. 152, Issue 6; ISSN 1538-3881
Publisher:
IOP Publishing - AAASCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 48 works
Citation information provided by
Web of Science

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Cited By (24)

Dependence of Type Ia supernova luminosities on their local environment journal July 2018
Rapidly evolving transients in the Dark Energy Survey journal August 2018
Photometric classification and redshift estimation of LSST Supernovae journal April 2018
Effect of lensing magnification on type Ia supernova cosmology journal May 2019
Superluminous supernovae from the Dark Energy Survey journal May 2019
SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification journal December 2019
First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases journal February 2019
Widespread star formation inside galactic outflows journal February 2019
First cosmology results using Type IA supernovae from the dark energy survey: effects of chromatic corrections to supernova photometry on measurements of cosmological parameters journal March 2019
The volumetric rate of normal type Ia supernovae in the local Universe discovered by the Palomar Transient Factory journal March 2019
Photometric supernovae redshift systematics requirements journal August 2019
Correcting Type Ia Supernova Distances for Selection Biases and Contamination in Photometrically Identified Samples journal February 2017
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation journal April 2019
Steve: A Hierarchical Bayesian Model for Supernova Cosmology journal April 2019
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope journal August 2019
HSC16aayt: A Slowly Evolving Interacting Transient Rising for More than 100 Days journal September 2019
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters journal February 2019
A Search for Optical Emission from Binary Black Hole Merger GW170814 with the Dark Energy Camera journal March 2019
Widespread star formation inside galactic outflows text January 2019
Rapidly evolving transients in the Dark Energy Survey text January 2018
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope text January 2018
Superluminous Supernovae from the Dark Energy Survey text January 2018
Effect of lensing magnification on type Ia supernova cosmology text January 2019
HSC16aayt: Slowly evolving interacting transient rising for more than 100 days text January 2019

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
catalogs
galaxies: general
supernovae: general
surveys