From Raw Data to Flare Predictions: A Fully Automated Technique

Details From Raw Data to Flare Predictions: A Fully Automated Technique From Raw Data to Flare Predictions: A Fully Automated Technique

May 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsp42a..06m&link_type=abstract

American Geophysical Union, Spring Meeting 2005, abstract #SP42A-06

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9810 New Fields (Not Classifiable Under Other Headings)

Scientific paper

With the large volume of solar data which already exists, and expected in the near future with SDO, automated techniques are becoming increasingly vital. We present a fully automated active region extraction routine based on boundary extraction and region growing techniques applied to full disc MDI longitudinal magnetograms. Once extracted, any number of image processing techniques can be applied to the data leading to the possibility of automated classification. We discuss a large scale (9 years of MDI data, ~10,000 active region images) fractal survey of this data. This quantifies the meaning of magnetic complexity, relating lower threshold fractal dimension to the onset of large flares.

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