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arXiv · 1108.4696

Detecting Quasars in Large-Scale Astronomical Surveys

Fabian Gieseke·Kai Lars Polsterer·Andreas Thom·Peter-Christian Zinn·Dominik Bomanns·Ralf-Jürgen Dettmar·Oliver Kramer·Jan Vahrenhold
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Abstract

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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Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter-Christian Zinn, Dominik Bomanns, Ralf-Jürgen Dettmar, Oliver Kramer, Jan Vahrenhold. 2011-08-23. Detecting Quasars in Large-Scale Astronomical Surveys. https://doi.org/10.1109/icmla.2010.59

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