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A Markov Chain Monte Carlo–based Hybrid Noise Inference for Continuous Wavelet Power Spectra: With Applications to Solar and Stellar Oscillatory Signals

  • Authors: Song Feng, Lin Li, Ding Yuan

Song Feng et al 2026 The Astrophysical Journal Supplement Series 285 .

  • Provider: AAS Journals

Caption: Figure 3.

Synthetic signals with multiple nonstationary oscillatory components. Each column corresponds to an independent realization with the same background but different oscillation periods. Rows from top to bottom: (1) background components (red + white noise with a flare profile); (2) injected oscillations with time-varying amplitudes and periods; (3) composite signals; (4) global Fourier power spectra (FFT+MCMC); (5) detrended wavelet spectra (CWT+AR(1), detrending scale 290 s); (6) wavelet spectra from the CWT+MCMC method. One component has a characteristic period of ∼16 s, while the second varies across columns (32 s, 50 s, 85 s, and 160 s). Black contours mark the 95% confidence level.

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