
During November 2024, Peter Donnel developed a diagnostic script for the gyselax/gyselalibxx repository to visualize plasma moment evolution from HDF5 distribution-function data. He designed and implemented Python-based workflows that compute and plot key plasma moments, including density, parallel velocity, and temperature components, for multiple species. The script enables both per-species and cross-species comparisons, exporting results as PNG files to support reproducible scientific analysis. Leveraging skills in data analysis, data visualization, and scientific computing, Peter’s work addressed the need for rapid, validation-friendly insight generation, laying a foundation for more efficient interpretation of experimental plasma data by researchers.
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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