Bayesian Analysis of Solar Oscillations

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Accepted for publication in The Astrophysical Journal. It is scheduled for the ApJ July 20, 2008, v682n 1 issue

Scientific paper

10.1086/588751

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 (Solar and Heliospheric Observatory/Coronal Diagnostic Spectrometer) O V 629A observations and resolves four distinct P4, P5, P6 and P7 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 eigen modes.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Bayesian Analysis of Solar Oscillations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Bayesian Analysis of Solar Oscillations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian Analysis of Solar Oscillations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-574643

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.