
Peter Donnel developed a diagnostic script for the gyselax/gyselalibxx repository that visualizes the time evolution of plasma moments, including density, parallel velocity, and temperature components, for multiple species. Using Python and scientific computing techniques, he processed HDF5 distribution-function data to compute and plot these moments, enabling both per-species and cross-species comparisons. The script exports plots as PNG files, supporting reproducible analysis and rapid insight generation for plasma experiments. Peter’s work demonstrated depth in data analysis and visualization, delivering a focused, validation-friendly workflow that improves data interpretation speed for researchers working with complex plasma simulation outputs.

Month 2024-11: Focused on enabling plasma moment evolution visualization in gyselalibxx. Delivered a new diagnostic script to compute and plot moments (density, v_parallel, T_parallel, T_perp) for multiple species from HDF5 distribution-function data, including two-species comparisons and PNG export. This lays groundwork for rapid insight generation and reproducible analysis across experiments.
Month 2024-11: Focused on enabling plasma moment evolution visualization in gyselalibxx. Delivered a new diagnostic script to compute and plot moments (density, v_parallel, T_parallel, T_perp) for multiple species from HDF5 distribution-function data, including two-species comparisons and PNG export. This lays groundwork for rapid insight generation and reproducible analysis across experiments.
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