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Improving Power Spectrum Estimation Using Multitapering: Efficient Asteroseismic Analyses for Understanding Stars, the Milky Way, and Beyond

  • Authors: Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle, 佳士 沈, David J. Thomson

Aarya A. Patil et al 2024 The Astronomical Journal 168 .

  • Provider: AAS Journals

Caption: Figure 10.

PBjam peakbagging fit for the Kepler-91 time series using the LS (top panel) and mtNUFFT (bottom panel) periodograms. Both panels show an SNR power spectrum estimate (data) in gray along with its smoothed version using a 1D Gaussian filter kernel in black. The panels also show the model fits (red) to the radial l = 0 and quadrupole l = 2 modes obtained in Step 2 of PBjam. It is evident that the variance of the mtNUFFT SNR power spectrum estimate is much smaller than that of the LS periodogram, which leads to more efficient peakbagging than LS.

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