Understanding the Lomb-Scargle Periodogram

Authors: Jacob T. VanderPlas

arXiv: 1703.09824v1 - DOI (astro-ph.IM)
55 pages, 26 figures. Code available at https://github.com/jakevdp/PracticalLombScargle/

Abstract: The Lomb-Scargle periodogram is a well-known algorithm for detecting and characterizing periodic signals in unevenly-sampled data. This paper presents a conceptual introduction to the Lomb-Scargle periodogram and important practical considerations for its use. Rather than a rigorous mathematical treatment, the goal of this paper is to build intuition about what assumptions are implicit in the use of the Lomb-Scargle periodogram and related estimators of periodicity, so as to motivate important practical considerations required in its proper application and interpretation.

Submitted to arXiv on 28 Mar. 2017

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