Omar W Ashamari

TL;DR: In this article, the performance of a number of existing algorithms was compared on common data sets, specifically line-of-sight magnetic field and continuum intensity images from MDI, with consistent definitions of what constitutes an event.

TL;DR: In this article, the performance of a number of existing algorithms was compared on common data sets, specifically line-of-sight magnetic field and continuum intensity images from MDI, with consistent definitions of what constitutes an event.

TL;DR: In this paper, a web-based prototype system for predicting solar energetic particle (SEP) events and solar flares for use by space launch operators is presented, which consists of several modules covering the prediction of solar flares and early SEP Warnings (labeled Warning tool), the forecast of SEP event occurrence and onset, and prediction of SEPs event peak and duration.

TL;DR: In this article, the authors presented a series of enhanced segmentation algorithms developed to detect and calculate the area coverages of specific magnetic features from MDI intensitygrams and magnetograms.

TL;DR: A series of enhanced segmentation algorithms developed to detect and calculate the area coverages of specific magnetic features from MDI intensitygrams and magnetograms are presented, part of the Automated Solar Activity Prediction (ASAP) tool.