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Using conditional entropy to identify periodicity

Graham, Matthew J. and Drake, Andrew J. and Djorgovski, S. G. and Mahabal, Ashish A. and Donalek, Ciro (2013) Using conditional entropy to identify periodicity. Monthly Notices of the Royal Astronomical Society, 434 (3). pp. 2629-2635. ISSN 0035-8711. doi:10.1093/mnras/stt1206.

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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 for just identifying periodic behaviour. In particular, it is robust against common aliasing issues found with other period-finding algorithms.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper DOIArticle
Graham, Matthew J.0000-0002-3168-0139
Djorgovski, S. G.0000-0002-0603-3087
Mahabal, Ashish A.0000-0003-2242-0244
Additional Information:© 2013 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2013 June 27. Received 2013 June 26; in original form 2013 June 4. First published online: July 26, 2013. We thank the referee, Pablo Cincotta, for his useful comments. This work was supported in part by the NSF grants AST-0909182 and IIS-1118041, by the W. M. Keck Institute for Space Studies, and by the US Virtual Astronomical Observatory, itself supported by the NSF grant AST-0834235.
Group:Keck Institute for Space Studies
Funding AgencyGrant Number
W. M. Keck Institute for Space StudiesUNSPECIFIED
US Virtual Astronomical ObservatoryUNSPECIFIED
Subject Keywords:methods: data analysis – techniques: photometric – astronomical data bases: miscellaneous
Issue or Number:3
Record Number:CaltechAUTHORS:20131002-125112999
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:41615
Deposited By: Tony Diaz
Deposited On:02 Oct 2013 22:24
Last Modified:10 Nov 2021 04:32

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