MINIMUM DISTANCE METHOD OF CLASSIFICATION APPLIED TO GAIA SIMULATED PHOTOMETRIC DATA

摘要

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 as-trophysical 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.