The automated analysis of solar active regions

Details The automated analysis of solar active regions The automated analysis of solar active regions

Sep 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.535..169v&link_type=abstract

In: Solar variability as an input to the Earth's environment. International Solar Cycle Studies (ISCS) Symposium, 23 - 28 June 2

Computer Science

Sun: Magnetic Fields, Techniques: Image Processing

Scientific paper

Active regions are primary sources of solar activity. Developments in the automated identification of solar active regions and the characterisation of their coronal emission are presented. Central to this effort is the image data archive of the Extreme-ultraviolet Imaging Telescope(EIT), whose increasing size favours the application of automated analysis schemes. The image complexity requires additional information. This paper focuses on the developments of an automated detection scheme for active regions using magnetogram observations, which serves as a stepping stone for the detection of associated emission in EUV images. The ultimate goal of this work is to classify active regions on the basis of their coronal emission and to characterise their main constituents, i.e. coronal loops.

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