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| Paper: |
Automated Object Classification with ClassX |
| Volume: |
295, Astronomical Data Analysis Software and Systems XII |
| Page: |
419 |
| Authors: |
Suchkov, A. A.; Hanisch, R. J.; White, R. L.; Postman, M.; Donahue, M. E.; McGlynn, T. A.; Angelini, L.; Corcoran, M. F.; Drake, S. A.; Pence, W. D.; White, N.; Winter, E. L.; Genova, F.; Ochsenbein, F.; Fernique, P.; Derriere, S. |
| Abstract: |
ClassX is a project aimed at creating an automated system to classify X-ray sources and is envisaged as a prototype of the Virtual Observatory. As a system, ClassX creates a pipeline by integrating a network of classifiers with an engine that searches and retrieves multi-wavelength counterparts for a given target from the worldwide data storage media. At the start of the project we identified a number of issues that needed to be addressed to make the implementation of such a system possible. The most fundamental are: (a) classification methods and algorithms, (b) selection and definition of classes (object types), and (c) identification of source counterparts across multi-wavelength data. Their relevance to the project objectives will be seen in the results below as we discuss ClassX classifiers. |
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