Work

Understanding the Lomb–Scargle Periodogram

Year: 2018

Type: article

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.

Source: The Astrophysical Journal Supplement Series

DOI: 10.3847/1538-4365/aab766

Author: Jacob T. VanderPlas

Institution: University of Washington

Language: English

Topic: Statistical and numerical algorithms

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze

Funders: Alfred P. Sloan Foundation, Gordon and Betty Moore Foundation, Washington Research Foundation, University of Washington

OpenAlex ID: W2780156044

FWCI: 122.5

Cites: 96

Cited by: 1,248

Related to: 10