QSO color selection in the SDSS

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The Sloan Digital Sky Survey (SDSS) will image 10,000 square degrees in the north galactic cap in five filters. We hope to identify and obtain spectra for about 100,000 quasars brighter than 20th magnitude in this area. The selection will be primarily on the basis of point spread function and colors, but we will also identify quasars from a catalog of FIRST radio sources. The selection areas in color space must be determined during the testing period prior to the official start of the survey. This task may determine the length of the test period. In anticipation of this becoming ... continued below

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4 p.; Other: FDE: POSTSCRIPT; PL:

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Newberg, H.J. & Yanny, B. January 1, 1998.

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The Sloan Digital Sky Survey (SDSS) will image 10,000 square degrees in the north galactic cap in five filters. We hope to identify and obtain spectra for about 100,000 quasars brighter than 20th magnitude in this area. The selection will be primarily on the basis of point spread function and colors, but we will also identify quasars from a catalog of FIRST radio sources. The selection areas in color space must be determined during the testing period prior to the official start of the survey. This task may determine the length of the test period. In anticipation of this becoming the critical path, we have written a body of software that will allow us to quickly analyze a set of multicolor data and make a first cut at the selection limits.

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4 p.; Other: FDE: POSTSCRIPT; PL:

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INIS; OSTI as DE98051892

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  • IAU symposium 179 on new horizons from multi-wavelength sky, Baltimore, MD (United States), 26-30 Aug 1997

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  • Other: DE98051892
  • Report No.: FNAL/C--98/036-A
  • Report No.: CONF-9708149--
  • Grant Number: AC02-76CH03000
  • Office of Scientific & Technical Information Report Number: 573044
  • Archival Resource Key: ark:/67531/metadc695652

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  • January 1, 1998

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  • Aug. 14, 2015, 8:43 a.m.

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  • April 1, 2016, 4:43 p.m.

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Newberg, H.J. & Yanny, B. QSO color selection in the SDSS, article, January 1, 1998; Batavia, Illinois. (digital.library.unt.edu/ark:/67531/metadc695652/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.