Unresolved Galaxy Classifier for ESA's Gaia Mission

Details Unresolved Galaxy Classifier for ESA's Gaia Mission Unresolved Galaxy Classifier for ESA's Gaia Mission

Jul 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aspc..424..256b&link_type=abstract

Proceedings of the 9th International Conference of the Hellenic Astronomical Society, proceedings of a conference held 20-24 Sep

Computer Science

Learning

1

Scientific paper

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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