Journal
ASTROPHYSICAL JOURNAL
Volume 681, Issue 1, Pages 672-679Publisher
UNIV CHICAGO PRESS
DOI: 10.1086/588751
Keywords
methods : statistical; stars : oscillations; Sun : helioseismology; Sun : oscillations; sunspots; waves
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A Bayesian probability-based approach is applied to the problem of detecting and parameterizing oscillations in the upper solar atmosphere for the first time. Due to its statistical origin, this method provides a mechanism for determining the number of oscillations present, gives precise estimates of the oscillation parameters with a self-consistent statistical error analysis, and allows the oscillatory model signals to be reconstructed within these errors. A highly desirable feature of the Bayesian approach is the ability to resolve oscillations with extremely small frequency separations. The code is applied to SOHO CDS O v lambda 629 observations and resolves four distinct P-4; P-5; P-6, and P-7 p-modes within the same sunspot transition region. This suggests that a spectrum of photospheric p-modes is able to propagate into the upper atmosphere of the Sun and Sun-like stars, and places precise observational constraints on models of umbral eigenmodes.
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