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Using the Gregory-Loredo Algorithm for the Detection of Variability in the Chandra Source Catalog
Published online by Cambridge University Press: 20 April 2012
Abstract
In searching for a reliable variability indicator for Chandra X-ray event data, we implemented the Gregory-Loredo (G–L) algorithm to assess variability and to generate light curves for the Chandra Source Catalog. A test was performed on 118 sources detected in a single observation, spanning the intensity range 5–24,000 photons over a total observing time of 102,000 sec. We conclude that the G–L algorithm is extremely robust, yielding both a reliable variability indicator and light curves with optimal resolution, while requiring a very modest amount of CPU time. The algorithm can also work on binned data, and is capable of handling data gaps as well as variations in effective area.
- Type
- Contributed Papers
- Information
- Proceedings of the International Astronomical Union , Volume 7 , Symposium S285: New Horizons in Time-Domain Astronomy , September 2011 , pp. 402 - 403
- Copyright
- Copyright © International Astronomical Union 2012
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