Paper:	Unresolved Galaxy Classifier for ESA’s Gaia Mission
Volume:	424, Proceedings of the 9th International Conference of the Hellenic Astronomical Society
Page:	256
Authors:	Bellas-Velidis, I.; Kontizas, M.; Livanou, E.; Tsalmantza, P.
Abstract:	Unresolved Galaxy Classifier (UGC), a software package for the ground-based pipeline of ESA’s Gaia mission is presented. It aims at analyzing Gaia BP/RP spectra of unresolved galaxies, to provide taxonomic classification and specific parameters estimation. The UGC algorithm is based on Support Vector Machines, a supervised learning technique. The software is implemented in JAVA. An offline UGC-learning module provides functions for SVM-model training. Once trained, the set of models can be repeatedly applied to unknown galaxy spectra by the pipeline’s UGC-application module. Tests with a library of BP/RP simulated galaxy spectra show a very good performance of UGC.

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