Effectiveness of the Gregory-Loredo Algorithm for the Detection of Temporal Variability in Chandra Data

Details Effectiveness of the Gregory-Loredo Algorithm for the Detection of Temporal Variability in Chandra Data Effectiveness of the Gregory-Loredo Algorithm for the Detection of Temporal Variability in Chandra Data

Jul 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351...73r&link_type=abstract

Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob

Astronomy and Astrophysics

Astronomy

4

Scientific paper

In searching for a reliable variability indicator for Chandra X-ray event data, we implemented and tested the Gregory-Loredo (Gregory & Loredo 1992) algorithm. The test was performed on 118 sources detected in a single observation, spanning the intensity range of 5 to 24000 photons over a total observing time of 102000 s. The G-L algorithm is extremely robust, yielding a reliable variability indicator as well as a light curve with optimal resolution while requiring a very modest amount of CPU time. The algorithm can also work on binned data and handle data gaps as well as variations in effective area.

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