The minimum distance method of classification using linear interpolation with its applications to simulated GAIA photometry

Details The minimum distance method of classification using linear interpolation with its applications to simulated GAIA photometry The minimum distance method of classification using linear interpolation with its applications to simulated GAIA photometry

Jan 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003jad.....9....8m&link_type=abstract

THE JOURNAL OF ASTRONOMICAL DATA Vol. 9 2003

Astronomy and Astrophysics

Astronomy

Scientific paper

A modification of the minimum distance method (or template matching) of classification has been tested where with the addition of a likelihood procedure. This two-stage combined method provides continuous classification with linear interpolation. The method has been applied to a grid of simulated GAIA photometric data produced by C. Bailer-Jones. The classification accuracies at different magnitudes have been estimated for a wide range of the fundamental parameters: effective temperature, gravity and metallicity.

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