Classifying the high-energy universe with ClassX

Thomas McGlynn; Anatoly Suchkov; Eric Winter; Lorella Angelini; Michael Corcoran; Sebastien Derriere; Megan Donahue; Stephen Drake; Pierre Fernique; Francois Genova; Robert James Hanisch; Francois Ochsenbein; William D. Pence; Marc Postman; Nicholas White; Richard L. White

doi:10.1117/12.459719

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16 December 2002 Classifying the high energy universe with ClassX

Thomas McGlynn; Anatoly Suchkov; Eric Winter; Lorella Angelini; Michael Corcoran; Sebastien Derriere; Megan Donahue; Stephen Drake; Pierre Fernique; Francois Genova; Robert James Hanisch; Francois Ochsenbein; William D. Pence; Marc Postman; Nicholas White; Richard L. White

Author Affiliations +

Thomas McGlynn,^1,2 Anatoly Suchkov,³ Eric Winter,^1,4 Lorella Angelini,^1,2 Michael Corcoran,^1,2 Sebastien Derriere,⁵ Megan Donahue,³ Stephen Drake,^1,6 Pierre Fernique,⁵ Francois Genova,⁵ Robert James Hanisch,³ Francois Ochsenbein,⁵ William D. Pence,¹ Marc Postman,³ Nicholas White,¹ Richard L. White³
¹NASA Goddard Space Flight Ctr. (United States)
²Universities Space Research Association (United States)
³Space Telescope Science Institute (United States)
⁴Science Systems and Applications, Inc. (United States)
⁵Observatoire Astronomique de Strasbourg (France)
⁶Unversities Space Research Association (United States)

Proceedings Volume 4846, Virtual Observatories; (2002) https://doi.org/10.1117/12.459719
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

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Abstract

Building an automated classifier for high-energy sources provides an opportunity to prototype approaches to building the Virtual Observatory with a substantial immediate scientific return. The ClassX collaboration is combining existing data resources with trainable classifiers to build a tool that classifies lists of objects presented to it. In our first year the collaboration has concentrated on developing pipeline software that finds and combines information of interest and in exploring the issues that will be needed for successful classification. ClassX must deal with many key VO issues: automating access to remote data resources, combining heterogeneous data and dealing with large data volumes. While the VO must attempt to deal with these problems in a generic way, the clear science goals of ClassX allow us to act as a pathfinder exploring particular approaches to addressing these issues.

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Thomas McGlynn, Anatoly Suchkov, Eric Winter, Lorella Angelini, Michael Corcoran, Sebastien Derriere, Megan Donahue, Stephen Drake, Pierre Fernique, Francois Genova, Robert James Hanisch, Francois Ochsenbein, William D. Pence, Marc Postman, Nicholas White, and Richard L. White "Classifying the high energy universe with ClassX", Proc. SPIE 4846, Virtual Observatories, (16 December 2002); https://doi.org/10.1117/12.459719

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Thomas McGlynn, Anatoly Suchkov, Eric Winter, Lorella Angelini, Michael Corcoran, Sebastien Derriere, Megan Donahue, Stephen Drake, Pierre Fernique, Francois Genova, Robert James Hanisch, Francois Ochsenbein, William D. Pence, Marc Postman, Nicholas White, Richard L. White, "Classifying the high-energy universe with ClassX," Proc. SPIE 4846, Virtual Observatories, (16 December 2002);

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