Redshift Identification of Single-Line Emission Galaxies in the DEEP2 Survey

Details Redshift Identification of Single-Line Emission Galaxies in the DEEP2 Survey Redshift Identification of Single-Line Emission Galaxies in the DEEP2 Survey

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...20918104k&link_type=abstract

2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #181.04; Bulletin of the American Astronomical Society,

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Scientific paper

We present two methods for determining spectroscopic redshifts of galaxies in the DEEP2 survey which display only one emission line. Both methods rely on broadband BRI photometry. The first calculates the distance of a single-line galaxy to galaxies of known redshift in (B-R), (R-I), R parameter space. The second is an artificial neural network. Both methods are nearly perfect at identifying blended [OII] λ3726, 3729 doublets, and respectively 92% and 90% accurate at identifying Hα. Although they cannot discriminate between [OIII] λ4959 and Hβ, they can identify a single line as one or the other. From a sample of of 648 single-line spectra, the methods determine the identities of 287 and 316 single lines, respectively. This work is supported by NSF and NASA/STScI grants, and ENK is supported by a NSF Graduate Research Fellowship.

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