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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Host galaxy spectra and consequences for supernova typing from the SDSS SN survey
Astronomical Journal, Volume 147, No. 4, Article 75, Year 2014
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Description
We present the spectroscopy from 5254 galaxies that hosted supernovae (SNe) or other transient events in the Sloan Digital Sky Survey II (SDSS-II). Obtained during SDSS-I, SDSS-II, and the Baryon Oscillation Spectroscopic Survey, this sample represents the largest systematic, unbiased, magnitude limited spectroscopic survey of SN host galaxies. Using the host galaxy redshifts, we test the impact of photometric SN classification based on SDSS imaging data with and without using spectroscopic redshifts of the host galaxies. Following our suggested scheme, there are a total of 1166 photometrically classified SNe Ia when using a flat redshift prior and 1126 SNe Ia when the host spectroscopic redshift is assumed. For 1024 (87.8%) candidates classified as likely SNe Ia without redshift information, we find that the classification is unchanged when adding the host galaxy redshift. Using photometry from SDSS imaging data and the host galaxy spectra, we also report host galaxy properties for use in future analysis of SN astrophysics. Finally, we investigate the differences in the interpretation of the light curve properties with and without knowledge of the redshift. Without host galaxy redshifts, we find that SALT2 light curve fits are systematically biased toward lower photometric redshift estimates and redder colors in the limit of low signal-to-noise data. The general improvements in performance of the light curve fitter and the increased diversity of the host galaxy sample highlights the importance of host galaxy spectroscopy for current photometric SN surveys such as the Dark Energy Survey and future surveys such as the Large Synoptic Survey Telescope. © 2014. The American Astronomical Society. All rights reserved..
Authors & Co-Authors
Olmstead, Matthew D.
Unknown Affiliation
Brown, Peter J.
Unknown Affiliation
Sako, Masao
Unknown Affiliation
Bassett, Bruce A.C.C.
Unknown Affiliation
Bizyaev, Dmitry Anatolevich
Unknown Affiliation
Brinkmann, Jonathan V.
Unknown Affiliation
Brownstein, Joel R.
Unknown Affiliation
Brewington, Howard J.
Unknown Affiliation
Campbell, Heather C.
Unknown Affiliation
D'Andrea, Chris B.
Unknown Affiliation
Dawson, Kyle S.
Unknown Affiliation
Ebelke, G.
Unknown Affiliation
Frieman, Joshua A.
Unknown Affiliation
Galbany, Lluís
Unknown Affiliation
Garnavich, Peter M.
Unknown Affiliation
Gupta, Ravi R.
Unknown Affiliation
Hložek, Renée A.
Unknown Affiliation
Jha, Saurabh W.
Unknown Affiliation
Kunz, Martin
Unknown Affiliation
Lampeitl, Hubert
Unknown Affiliation
Malanushenko, Elena
Unknown Affiliation
Malanushenko, Viktor P.
Unknown Affiliation
Marriner, John P.
Unknown Affiliation
Miquel, Ramon
Unknown Affiliation
Montero-Dorta, Antonio D.
Unknown Affiliation
Nichol, Robert C.
Unknown Affiliation
Oravetz, Daniel J.
Unknown Affiliation
Pan, Kaike
Unknown Affiliation
P. Schneider, Donald P.
Unknown Affiliation
Simmons, Audrey E.
Unknown Affiliation
Smith, Matthew W.L.
Unknown Affiliation
Snedden, Stephanie A.
Unknown Affiliation
Statistics
Citations: 32
Authors: 32
Affiliations: 20
Identifiers
Doi:
10.1088/0004-6256/147/4/75
ISSN:
00046256
Study Design
Cross Sectional Study
Study Approach
Quantitative