Lomb-Scargle Periodograms

First published: 2018

Brief summary

Astropy guide to periodograms for unevenly sampled data.

Article

Lomb-Scargle Periodograms is covered by the linked source. Astropy guide to periodograms for unevenly sampled data.

The material from Astropy describes a method for detecting, decomposing, testing or reproducing structure in time-series data.

Reliable use requires attention to sampling, trend, missing values, noise, boundaries, parameter choices and multiple testing. Sensitivity checks help assess stability.

No method can confirm a genuine cycle from an attractive graph or isolated peak alone. Significance requires an appropriate null model and documented preprocessing.

Source details and credits

• Source / publisher: Astropy
• Source type: Software docs
• URL type: WWW
• Credits: Astropy
• URL: https://docs.astropy.org/en/stable/timeseries/lombscargle.html