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The promise of Bayesian analysis for prominence seismology

Published online by Cambridge University Press:  06 January 2014

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: iarregui@iac.es
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: iarregui@iac.es
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: iarregui@iac.es
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Abstract

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.

Type
Contributed Papers
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)CrossRefGoogle Scholar
Joarder, P. S., Nakariakov, V. M., & Roberts, B. 1997, Solar Phys., 173, 81CrossRefGoogle Scholar
Soler, R. 2010, PhD thesis, Universitat de les Illes BalearsGoogle Scholar
von Toussaint, U. 2011, Reviews of Modern Physics, 83, 943CrossRefGoogle Scholar

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