Determining spectroscopic redshifts by using k nearest neighbor regression

Author： Kügler S. D.   Polsterer K.   Hoecker M.  

Publisher： Edp Sciences

E-ISSN： 1432-0746|576|issue|A132-A132

ISSN： 0004-6361

Source： Astronomy & Astrophysics, Vol.576, Iss.issue, 2015-04, pp. : A132-A132

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract

Context. In astronomy, new approaches to process and analyze the exponentially increasing amount of data are inevitable. For spectra, such as in the Sloan Digital Sky Survey spectral database, usually templates of well-known classes are used for classification. In case the fitting of a template fails, wrong spectral properties (e.g. redshift) are derived. Validation of the derived properties is the key to understand the caveats of the template-based method.

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