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Multi-wavelength solar images in the EUV are routinely used for analysingsolar features such as coronal holes, filaments, and flares. However, imagestaken in different bands often look remarkably similar as each band receivescontributions coming from regions with a range of different temperatures. Thishas motivated the search for empirical techniques that may unmix thesecontributions and concentrate salient morphological features of the corona in asmaller set of less redundant source images. Blind Source Separation (BSS)precisely does this. Here we show how this novel concept also provides newinsight into the physics of the solar corona, using observations made bySDO/AIA. The source images are extracted using a Bayesian positive sourceseparation technique. We show how observations made in six spectral bands,corresponding to optically thin emissions, can be reconstructed by linearcombination of three sources. These sources have a narrower temperatureresponse and allow for considerable data reduction since the pertinentinformation from all six bands can be condensed in only one single compositepicture. In addition, they give access to empirical temperature maps of thecorona. The limitations of the BSS technique and some applications are brieflydiscussed.

Coronal Temperature Maps from Solar EUV images: a Blind Source Separation Approach