Data Visualization

Among the many challenges facing space science community is the need for analysis and visualization tools that can assist in interpreting observational data sets and placing them in context both spatially and in terms of inter-connected physical processes.

While data produced by numerical simulations can provide full coverage of extensive regions in space with sufficient spatial and temporal resolution, spacecraft data is limited to specific trajectories and observation times and its presentation is often reduced to 2D plots.

Prof. Ilie’s team is building an interactive 3D data visualization tool, which is capable of creating sophisticated visualizations based on analytical and empirical models for the magnetic field, and combine them with available data from NASA and ESA space mission measurements, allowing researchers to better interpret the measurements by putting them in the larger context afforded by the global models.

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Machine Learning