Astronomy and Astrophysics – Astrophysics
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsh51b1276m&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SH51B-1276
Astronomy and Astrophysics
Astrophysics
[1914] Informatics / Data Mining, [7594] Solar Physics, Astrophysics, And Astronomy / Instruments And Techniques
Scientific paper
NASA has selected our large international consortium last year to produce a comprehensive system for automated feature recognition in SDO images. The data we consider are all AIA and EVE data plus surface magnetic field images from HMI. Helioseismology is addressed by another group. We are producing robust and very efficient software modules that can keep up with the relentless SDO data stream and detect, trace, and analyze a large number of phenomena, including: flares, sigmoids, filaments, coronal dimmings, polarity inversion lines, sunspots, X-ray bright points, active regions, coronal holes, EIT waves, CME's, coronal oscillations, and jets. In addition we will track the emergence and evolution of magnetic elements down to the resolution limit, and we will also provide at least four full disk nonlinear force-free magnetic field extrapolations per day. A completely new software element that rounds out this suite is a trainable feature detection module, which employs a generalized image classification algorithm to produce the texture features of the images analyzed. A user can introduce a number of examples of the phenomenon looked for and the software will return images with similar features. We have tested a proto-type on TRACE data, and were able to "train" the algorithm to detect sunspots, active regions, and loops. Such a module can be applied to find features that have not even been discovered yet, as, for example, sigmoids were in the pre-Yohkoh era. In addition it will be used to detect features for which we will not develop dedicated modules, such as loops, arcades, "null"-type geometries, anemones, delta-spots, etc. Our codes will produce entries in the Heliophysics Events Knowledge base, and that will permit users to locate data on individual events as well as carry out statistical studies on large numbers of events.
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