Improving Harmonic Analysis using Multitapering: Precise frequency estimation of stellar oscillations using the harmonic F-test
Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle, and David J., Thomson

TL;DR
This paper introduces an enhanced spectral analysis method combining multitaper power spectrum estimation with the harmonic F-test, enabling precise frequency detection and characterization of stellar oscillations in astronomical time-series data.
Contribution
It combines mtNUFFT with the harmonic F-test to improve detection and frequency estimation of strictly periodic signals, advancing harmonic analysis in astronomy.
Findings
Successfully detects stellar oscillation harmonics in Kepler data
Distinguishes between transient and strictly periodic oscillations
Provides a publicly available Python package for implementation
Abstract
In Patil et. al 2024a, we developed a multitaper power spectrum estimation method, mtNUFFT, for analyzing time-series with quasi-regular spacing, and showed that it not only improves upon the statistical issues of the Lomb-Scargle periodogram, but also provides a factor of three speed up in some applications. In this paper, we combine mtNUFFT with the harmonic F-test to test the hypothesis that a strictly periodic signal or its harmonic (as opposed to e.g. a quasi-periodic signal) is present at a given frequency. This mtNUFFT/F-test combination shows that multitapering allows detection of periodic signals and precise estimation of their frequencies, thereby improving both power spectrum estimation and harmonic analysis. Using asteroseismic time-series data for the Kepler-91 red giant, we show that the F-test automatically picks up the harmonics of its transiting exoplanet as well as…
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Taxonomy
TopicsScientific Measurement and Uncertainty Evaluation
