تقرير
Detecting Quasars in Large-Scale Astronomical Surveys
| العنوان: | Detecting Quasars in Large-Scale Astronomical Surveys |
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| المؤلفون: | Gieseke, Fabian, Polsterer, Kai Lars, Thom, Andreas, Zinn, Peter-Christian, Bomanns, Dominik, Dettmar, Ralf-Jürgen, Kramer, Oliver, Vahrenhold, Jan |
| المصدر: | 2010 Ninth International Conference on Machine Learning and Applications, 2010, pp.352-357 |
| سنة النشر: | 2011 |
| المجموعة: | Astrophysics |
| مصطلحات موضوعية: | Astrophysics - Instrumentation and Methods for Astrophysics |
| الوصف: | 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. Comment: 6 pages, 8 figures, published in proceedings of 2010 Ninth International Conference on Machine Learning and Applications (ICMLA) of the IEEE |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/ICMLA.2010.59 |
| URL الوصول: | http://arxiv.org/abs/1108.4696 |
| رقم الأكسشن: | edsarx.1108.4696 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/ICMLA.2010.59 |
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