Delivered two major features to ammarhakim/gkeyll in August 2025 that streamline ADAS data handling within the gyrokinetic build, reduce dependencies, and improve maintainability. Built a centralized ADAS data workflow with conditional download/processing based on presence of .npy files, and added build-time checks for numpy and requests. Consolidated ADAS data processing into a single script, removed the requests dependency and plotting, and deprecated the --use-adas option to simplify the build. These changes reduce build fragility, minimize unnecessary network calls, and shorten onboarding for new contributors while preserving data availability for simulations.

February 2025 monthly summary focusing on key accomplishments and technical progress across two repositories (ammarhakim/gkylcas and ammarhakim/gkeyll). Highlighted work centers on canonical PB neutrals Hamiltonian computation, API simplifications, and kernel/build system refinements that improve physics accuracy, maintainability, and build reliability.

Monthly summary for 2024-12: Focused on improving data correctness and stability in moment calculations. Delivered a targeted bug fix for vtSq_iz1 moment data access by updating the second argument of array_set2 from 'nc' to '2*nc', ensuring the calculation uses the updated prim_vars_elc that now includes M0, upar, and vtSq. The fix is implemented in both C and CUDA to maintain CPU/GPU consistency and reproducibility across the codebase. No new user-facing features this month; emphasis was on correctness, auditability, and long-term reliability of physics data used downstream. Commit reference provided for traceability: 5b0305cff349e448ea3ac2161f02198e0c7db504.

November 2024 Monthly Summary for ammarhakim/gkeyll focused on clarifying reaction moment data modeling and improving neutral-species recombination calculations. The work emphasizes business value through more accurate simulations, clearer data conventions, and stronger maintainability.