, Posters
Planetary nebulae (PN) and symbiotic systems (SS), product of the evolution of low and medium mass stars are not easy to be distinguished with photometric data alone. However using some diagnostic diagrams it is possible to separate them.
We present the results of the automatic classification based on GAIA photometry data from releases DR2 and DR3.
The automatic classification was made using different algorithms and the results compared in basis of their accuracy. The training catalogue was constructed using the GAIA parameters (Gmag, BP mag and RP mag) which were complemented with J, H and/or K magnitudes from the 2MASS catalogue and some b - v colors when they were available from SIMBAD database.
The results concerning the accuracy obtained, and the better combination of parameters to achieve the best effectiveness are presented.
It was found that the b-v color, used frequently to separate NPs from SS, can be replaced by GAIA colors: Gmag-BPmag or BPmag-RPmag with advantage over b-v in some diagnostic diagrams.
Researcher at the Institute of Astronomy and Meteorology of CUCEI, University of Guadalajara, México.
Research areas: Application of Artificial Intelligence techniques in Astronomy.
Kinematic and polarimetric analysis of Planetary Nebulae and symbiotic systems.
Determination of distances to Planetary Nebulae.