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arxiv 1306.6664 v2 pith:HMTV6HIG submitted 2013-06-27 astro-ph.IM

Using conditional entropy to identify periodicity

classification astro-ph.IM
keywords dataconditionalentropyfindingotherrealsimulatedaccurate
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper presents a new period finding method based on conditional entropy that is both efficient and accurate. We demonstrate its applicability on simulated and real data. We find that it has comparable performance to other information-based techniques with simulated data but is superior with real data, both for finding periods and just identifying periodic behaviour. In particular, it is robust against common aliasing issues found with other period-finding algorithms.

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