Minimum Distance Method of Classification Applied to Gaia Simulated Photometric Data

Astronomy and Astrophysics – Astrophysics

Scientific paper

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Gaia, Photometry, Mathematical Procedures, Stars Fundamental Parameters, Stars Classification

Scientific paper

The minimum distance method of classification is applied here to the most recent simulated photometric data for the Gaia-2 configuration. The classification accuracies of astrophysical parameters have been estimated for some selected stars (they are among the so-called `scientific targets' for which the photometric system will be designed). It has been found that for reliable classification it is useful to include not only the neighbours of a star in the photometric data space but also their neighbours in the parametric space. The method will be applied to future simulated data based on a modified Gaia instrument design and for the finally proposed photometric system.

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