Computer Science – Databases
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21934004m&link_type=abstract
American Astronomical Society, AAS Meeting #219, #340.04
Computer Science
Databases
Scientific paper
The DEEP2 and DEEP3 redshift surveys have obtained spectra of approximately 75,000 distant galaxies. In an effort to obtain as much information as possible from these spectra, we have performed a semi-automated, systematic search for emission lines in the DEEP2 and DEEP3 databases. The process is a two-step one: first, we run the SExtractor software on sky-subtracted 2D DEIMOS spectra to find emission lines and we categorize these emission lines based on whether they are associated with the target galaxy, single emission lines, possible artifacts resulting from poorly subtracted night sky emission lines, etc. Next, we supplement the automated search with both a guided and an unguided visual search and compare our findings with the output of the program. During this visual inspection process, we check the program for completeness and contamination. By introducing an automated element to the search we have compiled a more objective and complete census of the emission lines in the DEEP2 and DEEP3 databases than a pure visual search would yield. Our program has detected some faint emission lines that had been missed by the human eye. In addition, through our semi-automated search, we have located several possible serendipitous high redshift Lyman-alpha emitting galaxies in the redshift range of 3 to 7. This research was funded by the NSF and the Science Internship Program (SIP) at UCSC.
Alvarez-Buylla Arturo
Dean V.
DEEP2
DEEP3
Grishaw-Jones C.
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