Unresolved Galaxy Classifier for ESA's Gaia Mission

被引：0
|
作者：
Bellas-Velidis, I. [1 ]
Kontizas, M. [2 ]
Livanou, E. [2 ]
Tsalmantza, P. [3 ]
机构：
[1] Natl Observ Athens, Inst Astron & Astrophys, POB 20048, GR-11810 Athens, Greece
[2] Univ Athens, Fac Phys, Dept Astronphys Astron & Mech, Athens 15783, Greece
[3] Max Planck Inst Astron, D-69117 Heidelberg, Germany
来源：
ADVANCES IN HELLENIC ASTRONOMY DURING THE IYA09 | 2010年 / 424卷
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中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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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页码：256 / +
页数：2
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