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Spectral Classification and Redshift Measurement for the SDSS-III Baryon Oscillation Spectroscopic Survey
Bolton A. S., Schlegel D. J., Aubourg E., Bailey S., Bhardwaj V. et al
Astronomical Journal 144 (2012) 144 - http://hal.in2p3.fr/in2p3-00742972
Physique/Astrophysique/Cosmologie et astrophysique extra-galactique
Planète et Univers/Astrophysique/Cosmologie et astrophysique extra-galactique
Spectral Classification and Redshift Measurement for the SDSS-III Baryon Oscillation Spectroscopic Survey
Adam S. Bolton, David J. Schlegel, E. Aubourg1, 2, Stephen Bailey, Vaishali Bhardwaj, Joel R. Brownstein, Scott Burles, Yan-Mei Chen, Kyle Dawson, Daniel J. Eisenstein, James E. Gunn, G. R. Knapp, Craig P. Loomis, Robert H. Lupton, Claudia Maraston, Demitri Muna, Adam D. Myers, Matthew D. Olmstead, Nikhil Padmanabhan, Isabelle Pâris3, Will J. Percival, Patrick Petitjean, Constance M. Rockosi, Nicholas P. Ross, Donald P. Schneider, Yiping Shu, Michael A. Strauss, Daniel Thomas, Christy A. Tremonti, David A. Wake, Benjamin A. Weaver, W. Michael Wood-Vasey
1 :  APC - UMR 7164 - AstroParticule et Cosmologie
http://www.apc.univ-paris7.fr/
CNRS : UMR7164 – IN2P3 – Observatoire de Paris – Université Paris VII - Paris Diderot – CEA : DSM/IRFU
APC - UMR 7164, Université Paris Diderot, 10 rue Alice Domon et Léonie Duquet, case postale 7020, F-75205 Paris Cedex 13
France
2 :  IRFU - Institut de Recherches sur les lois Fondamentales de l'Univers (ex DAPNIA)
CEA : DSM/IRFU
France
3 :  IAP - Institut d'Astrophysique de Paris
http://www.iap.fr/
CNRS : UMR7095 – INSU – Université Pierre et Marie Curie (UPMC) - Paris VI
98bis, bd Arago - 75014 Paris France
France
APC - Cosmologie et Gravitation
We describe the automated spectral classification, redshift determination, and parameter measurement pipeline in use for the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey III (SDSS-III) as of the survey's ninth data release (DR9), encompassing 831,000 moderate-resolution optical spectra. We give a review of the algorithms employed, and describe the changes to the pipeline that have been implemented for BOSS relative to previous SDSS-I/II versions, including new sets of stellar, galaxy, and quasar redshift templates. For the color-selected "CMASS" sample of massive galaxies at redshift 0.4 <~ z <~ 0.8 targeted by BOSS for the purposes of large-scale cosmological measurements, the pipeline achieves an automated classification success rate of 98.7% and confirms 95.4% of unique CMASS targets as galaxies (with the balance being mostly M stars). Based on visual inspections of a subset of BOSS galaxies, we find that approximately 0.2% of confidently reported CMASS sample classifications and redshifts are incorrect, and about 0.4% of all CMASS spectra are objects unclassified by the current algorithm which are potentially recoverable. The BOSS pipeline confirms that ~51.5% of the quasar targets have quasar spectra, with the balance mainly consisting of stars and low signal-to-noise spectra. Statistical (as opposed to systematic) redshift errors propagated from photon noise are typically a few tens of km s-1 for both galaxies and quasars, with a significant tail to a few hundreds of km s-1 for quasars. We test the accuracy of these statistical redshift error estimates using repeat observations, finding them underestimated by a factor of 1.19-1.34 for galaxies and by a factor of two for quasars. We assess the impact of sky-subtraction quality, signal-to-noise ratio, and other factors on galaxy redshift success. Finally, we document known issues with the BOSS DR9 spectroscopic data set and describe directions of ongoing development.
SDSS-III

Articles dans des revues avec comité de lecture
11/2012
Astronomical Journal (A.J.)
Publisher American Astronomical Society
ISSN 0004-6256 (eISSN : 1538-3881)
144
144

methods: data analysis – surveys – techniques: spectroscopic
Lien vers le texte intégral : 
http://fr.arXiv.org/abs/1207.7326