Detecting Quasars in Large-Scale Astronomical Surveys

Details Detecting Quasars in Large-Scale Astronomical Surveys Detecting Quasars in Large-Scale Astronomical Surveys

2011-08-23

arxiv.org/abs/1108.4696v1

2010 Ninth International Conference on Machine Learning and Applications, 2010, pp.352-357

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

6 pages, 8 figures, published in proceedings of 2010 Ninth International Conference on Machine Learning and Applications (ICML

Scientific paper

We present a classification-based approach to identify quasi-stellar radio sources (quasars) in the Sloan Digital Sky Survey and evaluate its performance on a manually labeled training set. While reasonable results can already be obtained via approaches working only on photometric data, our experiments indicate that simple but problem-specific features extracted from spectroscopic data can significantly improve the classification performance. Since our approach works orthogonal to existing classification schemes used for building the spectroscopic catalogs, our classification results are well suited for a mutual assessment of the approaches' accuracies.

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