Georgia State University (GSU) researchers have been awarded a $1.5-million U.S. National Science Foundation grant to develop software tools that can process large sets of solar astronomy data and enable scientists to perform analyses on scales and detail levels that have never been possible before.
The researchers are working to improve tools that were originally designed by the Solar Dynamics Observatory Feature Finding Team to sort through large volumes of solar imaging data and identify features and phenomena of interest to solar researchers.
"Traditional approaches to dealing with data fail miserably with the volume of data being generated, and we need innovative algorithms and software tools to analyze the data and infer new knowledge in a timely manner," says GSU professor Rajshekhar Sunderraman. "Even though this project specifically targets solar data, the methods and tools devised would be applicable to a wide range of other domains."
The project provides access to a scalable and high-end tracking and analytics toolkit for solar events, and improves the basic science needed to meet the goals of national space weather programs. The software also could be applied to terrestrial weather analytics, climate-related research, and analyses of migration dynamics.
From Georgia State University
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