TL;DR
This paper applies Bayesian statistics to analyze mode coupling in helioseismic data, providing a more accurate inference of solar differential rotation, especially at high angular degrees, and demonstrating the importance of mode coupling techniques.
Contribution
It introduces a Bayesian approach to infer $a$-coefficients from cross spectra, improving the accuracy of differential rotation measurements in helioseismology.
Findings
Bayesian method works well for modes with angular degrees 50-291.
Inferred $a_3$-coefficients are within 1 nHz of frequency splitting results for $ ext{l} > 200$.
Technique is ineffective for $ ext{l} < 50$ due to insensitivity.
Abstract
Normal-mode helioseismic data analysis uses observed solar oscillation spectra to infer perturbations in the solar interior due to global and local-scale flows and structural asphericity. Differential rotation, the dominant global-scale axisymmetric perturbation, has been tightly constrained primarily using measurements of frequency splittings via "-coefficients". However, the frequency-splitting formalism invokes the approximation that multiplets are isolated. This assumption is inaccurate for modes at high angular degrees. Analysing eigenfunction corrections, which respect cross coupling of modes across multiplets, is a more accurate approach. However, applying standard inversion techniques using these cross-spectral measurements yields -coefficients with a significantly wider spread than the well-constrained results from frequency splittings. In this study, we apply Bayesian…
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