Solar Physics

, Volume 283, Issue 1, pp 31–47 | Cite as

Coronal Temperature Maps from Solar EUV Images: A Blind Source Separation Approach

  • T. Dudok de WitEmail author
  • S. Moussaoui
  • C. Guennou
  • F. Auchère
  • G. Cessateur
  • M. Kretzschmar
  • L. A. Vieira
  • F. F. Goryaev


Multi-wavelength solar images in the extreme ultraviolet (EUV) are routinely used for analysing solar features such as coronal holes, filaments, and flares. However, images taken in different bands often look remarkably similar, as each band receives contributions coming from regions with a range of different temperatures. This has motivated the search for empirical techniques that may unmix these contributions and concentrate salient morphological features of the corona in a smaller set of less redundant source images. Blind Source Separation (BSS) does precisely this. Here we show how this novel concept also provides new insight into the physics of the solar corona, using observations made by SDO/AIA. The source images are extracted using a Bayesian positive source-separation technique. We show how observations made in six spectral bands, corresponding to optically thin emissions, can be reconstructed by a linear combination of three sources. These sources have a narrower temperature response and allow for considerable data reduction, since the pertinent information from all six bands can be condensed into a single composite picture. In addition, they give access to empirical temperature maps of the corona. The limitations of the BSS technique and some applications are briefly discussed.


Solar corona Ultraviolet spectrum Solar image processing Blind source separation Bayesian inference 



We thank the referee for their constructive comments, which helped improve the clarity of the results. TD and MK gratefully acknowledge the International Space Science Institute (ISSI, Bern) for its hospitality. This study received funding from the European Community’s Seventh Framework Programme (FP7/2007 – 2013) under grant agreement number 218816 (SOTERIA project, ) and from the Programme National Soleil – Terre (PNST). We also thank Thomas Benseghir and Nolwenn Marchand for their assistance in the data analysis. The AIA data are courtesy of SDO (NASA) and the AIA consortium.


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • T. Dudok de Wit
    • 1
    Email author
  • S. Moussaoui
    • 2
  • C. Guennou
    • 3
  • F. Auchère
    • 3
  • G. Cessateur
    • 1
    • 4
  • M. Kretzschmar
    • 1
    • 5
  • L. A. Vieira
    • 1
  • F. F. Goryaev
    • 6
  1. 1.LPC2E (UMR 7328 CNRS and University of Orléans)Orléans Cedex 2France
  2. 2.IRCCYN (UMR 6597 CNRS and ECNantes)Nantes Cedex 3France
  3. 3.IAS (UMR 8617 CNRS and University of Paris-Sud)OrsayFrance
  4. 4.Physikalisch-Meteorologishes Observatorium DavosWorld Radiation CenterDavos DorfSwitzerland
  5. 5.SIDCRoyal Observatory of BelgiumBrusselsBelgium
  6. 6.Lebedev Physical InstituteRussian Academy of SciencesMoscowRussia

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