Computer Science – Performance
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21640213m&link_type=abstract
American Astronomical Society, AAS Meeting #216, #402.13; Bulletin of the American Astronomical Society, Vol. 41, p.875
Computer Science
Performance
Scientific paper
The aim of this project is to determine the photospheric velocity field in solar magnetic regions. A systematic characterization of the flow field can provide important insight into the formation of active regions and filaments as well as the development of unstable magnetic configurations that lead to the initation of flares and coronal mass ejections.
We plan to derive the flow fields from vector magnetograms obtained with the Stokes Polarimeter (SP) onboard the Hinode satellite and using the new optical flow technique DAVE4VM (differential affine velocity estimator for vector magnetograms). All local correlation tracking methods rely on comparing images (taken at different times) and deriving the spatial displacement of structures found in these images via a generalized cross-correlation. If the structures undergo significant development during the time the images are taken, the cross-correlation will not give meaningful results. As we will use magnetogram data for the tracking, we need to evaluate the temporal evolution and correlation times of the magnetic field vector B. We will determine the correlation times of the longitudinal and transverse components of the magnetic field vector in regions of different magnetic field strength and structure. This allows us to find the optimal cadence necessary for a good performance of the DAVE4VM code.
Linton Mark G.
Muglach Karin
Schuck Peter W.
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