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arXiv 1203.0116astro-ph.SRphysics.data-an
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太阳EUV图像的日冕温度图:一种盲源分离方法

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

T. Dudok de Wit, S. Moussaoui, C. Guennou, F. Auchère, G. Cessateur, M. Kretzschmar, L. A. Vieira, F. F. Goryaev

摘要:

EUV中的多波长太阳图像通常用于分析太阳特征,如日冕洞,灯丝和耀斑。然而,在不同波段拍摄的图像通常看起来非常相似,因为每个波段都接收来自不同温度范围的区域的贡献。这激发了对经验技术的研究,这些技术可以将这些贡献分解,并将日冕的显著形态特征集中在一组较小的冗余源图像中。盲源分离(Blind Source Separation,BSS)就是这么做的。在这里,我们展示了这个新的概念也提供了新的见解,太阳日冕的物理学,使用SDO/AIA的观测。使用贝叶斯正源分离技术提取源图像。我们展示了如何在六个光谱波段,对应于光学薄的排放,可以重建三个源的线性组合的意见。这些来源具有较窄的温度响应,并允许相当大的数据减少,因为所有六个波段的相关信息可以浓缩在一个单一的合成图片。此外,它们还提供了日冕的经验温度图。简要讨论了盲源分离技术的局限性及其应用。

英文摘要:

Multi-wavelength solar images in the 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) precisely does 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 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 in only one 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.

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