
During December 2024, Anastasia Teplukhina enhanced the google-deepmind/torax repository by expanding post-processing capabilities for plasma physics simulations. She implemented new global plasma parameter calculations, including q95 and te/ti volume-averages, and developed time-series visualizations to improve observability of simulation metrics. Using Python and scientific computing techniques, she updated data loading routines and refined plotting configurations, focusing on clarity and usability through improved font sizing and legend consistency. Additionally, she ensured test data compatibility with the new outputs, maintaining CI reliability. The work demonstrated depth in configuration management, data analysis, and visualization, addressing both feature development and robust testing.

December 2024: Delivered notable post-processing and data-validation improvements for the torax project, strengthening observability of global plasma metrics and CI reliability. This period focused on expanding post-processing capabilities, updating test data to reflect new outputs, and polishing visualizations for clearer insights.
December 2024: Delivered notable post-processing and data-validation improvements for the torax project, strengthening observability of global plasma metrics and CI reliability. This period focused on expanding post-processing capabilities, updating test data to reflect new outputs, and polishing visualizations for clearer insights.
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