Understanding the Lomb-Scargle Periodogram

被引:832
作者
VanderPlas, Jacob T. [1 ]
机构
[1] Univ Washington, eSci Inst, 3910 15th Ave NE, Seattle, WA 98195 USA
关键词
methods: data analysis; methods: statistical; TIME-SERIES ANALYSIS; UNEQUALLY-SPACED DATA; RR LYRAE STARS; SPECTRAL-ANALYSIS; NYQUIST FREQUENCY; PERIODIC SIGNALS; VARIABLE-STARS; LIGHT CURVES; SAMPLED-DATA; RED NOISE;
D O I
10.3847/1538-4365/aab766
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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.
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页数:28
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