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SUMMARY:Bayesian seismology of the solar atmosphere - Dr. Inigo Arregui (I
 AC)
DTSTART:20160307T160000Z
DTEND:20160307T170000Z
UID:TALK64484@talks.cam.ac.uk
CONTACT:Andrew Hillier
DESCRIPTION:The study of the solar atmosphere has to be pursued under cond
 itions in which information is incomplete and uncertain. Inference methods
  need to be employed to diagnose the physical conditions and processes of 
 interest. One of such methods\, solar atmospheric seismology\, makes use o
 f observed and theoretically predicted properties of waves and oscillation
 s to infer plasma and magnetic field properties. In this talk\, we first j
 ustify the use of a probabilistic approach to seismology diagnostics. Then
 \, we report on recent results from the application of Bayesian analysis t
 echniques to quantify the plausibility of physical parameter values and al
 ternative models from the observed and modelled wave dynamics. Examples ar
 e shown in which parameter inference\, model comparison\, and model averag
 ing are used to obtain information about the magnetic field strength\, the
  plasma density structuring\, and the most plausible damping mechanisms in
  solar coronal loops and prominence fine structures.
LOCATION:MR14\,  Centre for Mathematical Sciences\, Wilberforce Road\, Cam
 bridge
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