Pre-Conditioning Optmization Methods and Display for Mega-Pixel DEM Reconstructions

Details Pre-Conditioning Optmization Methods and Display for Mega-Pixel DEM Reconstructions Pre-Conditioning Optmization Methods and Display for Mega-Pixel DEM Reconstructions

May 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...204.6904s&link_type=abstract

American Astronomical Society Meeting 204, #69.04; Bulletin of the American Astronomical Society, Vol. 36, p.794

Astronomy and Astrophysics

Astronomy

Scientific paper

The Atmospheric Imaging Assembly (AIA) for the Solar Dynamics Observatory will provide an unprecedented rate of mega-pixel solar corona data. This hastens the need for faster differential emission measure (DEM) reconstruction methods, as well as scientifically useful ways of displaying this information for mega-pixel datasets. We investigate pre-conditioning methods, which optimize DEM reconstruction by making an informed initial DEM guess that takes advantage of the sharing of DEM information among the pixels in an image. In addition, we evaluate the effectiveness of different DEM image display options, including single temperature emission maps and time-progression DEM movies.
This work is supported under contract SP02D4301R to the Lockheed Martin Corp.

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