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The promise of Bayesian analysis for prominence seismology

Published online by Cambridge University Press:  06 January 2014

Iñigo Arregui ,
Andrés Asensio Ramos  and
Antonio J. Díaz
Iñigo Arregui
Affiliation:
Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain; Departamento de Astrofísica, Universidad de La Laguna, E-38205 La Laguna, Tenerife, Spain email: [email protected]
Andrés Asensio Ramos
Affiliation:
Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain; Departamento de Astrofísica, Universidad de La Laguna, E-38205 La Laguna, Tenerife, Spain email: [email protected]
Antonio J. Díaz
Affiliation:
Instituto de Astrofísica de Canarias, E-38205 La Laguna, Tenerife, Spain; Departamento de Astrofísica, Universidad de La Laguna, E-38205 La Laguna, Tenerife, Spain email: [email protected]
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Abstract

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We propose and use Bayesian techniques for the determination of physical parameters in solar prominence plasmas, combining observational and theoretical properties of waves and oscillations. The Bayesian approach also enables to perform model comparison to assess how plausible alternative physical models/mechanisms are in view of data.

Keywords

MHDSun: prominencesSun: oscillationsmethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S300: Nature of Prominences and their role in Space Weather , June 2013 , pp. 393 - 394
Copyright
Copyright © International Astronomical Union 2013 

References

Arregui, I., Oliver, R., & Ballester, J. L. 2012, Living Reviews in Solar Phys., 9, 2CrossRefGoogle Scholar
Gregory, P. C. 2005, Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with ‘Mathematica’ Support (Cambridge University Press)Google Scholar
Joarder, P. S., Nakariakov, V. M., & Roberts, B. 1997, Solar Phys., 173, 81Google Scholar
Soler, R. 2010, PhD thesis, Universitat de les Illes BalearsGoogle Scholar
von Toussaint, U. 2011, Reviews of Modern Physics, 83, 943CrossRefGoogle Scholar