February 2026 (2026-02) delivered a set of core reliability and performance enhancements across artis and artistools, with a focus on modernizing numerical tooling, strengthening build and CI health, and improving data handling and visualization. The work emphasizes business value through more accurate simulations, faster runtimes, easier maintenance, and clearer instrumentation for troubleshooting. Key features delivered: - Grid and input handling improvements: updated update_grid.cc to align with new grid logic and added unit suffixes to non-erg energy variables in input.cc for clarity. - Migration away from GSL toward STL/Boost: replaced GSL interpolation with C++ STL, deduplicated GSL error handling, and enabled optional Boost for integration/root finding; updated ratecoeff.h as part of the migration. - Spencer-Fano solver modernization: reduced reallocations and enabled Eigen-based solvers as optional replacements; modernized interfaces to use std::span where applicable. - NLTE population and ion options updates: improved NLTE calculations and ion range checking, with related header updates. - Logging and instrumentation: added logging for integration methods and for linear algebra solver/integrator/root finder to improve traceability. - Build, dependencies, and CI improvements: added Boost/Eigen-based paths, updated Makefiles, installed boost-math, and tuned settings for reproducible builds and faster runtimes; CI scripts updated for vendor libraries and ROCm support. - Documentation and code quality: updated Makefiles, artisoptions_doc.md, and README; applied clang-tidy fixes and cpplint cleanliness to improve maintainability. - Data visualization and tooling enhancements (artistools): extended color palettes (glasbey_category20, spectral palettes without greys), removed deprecated greyscale option; improved model data handling and grid mapping indicators for clearer visualization. Added a show_version CLI hook. - Miscellaneous maintenance: dependency upgrades (pre-commit, polars, ruff), Python/Rust tooling updates, and general repo hygiene.

January 2026 focused on data quality, documentation, and development velocity across artis and artistools. Key features delivered include gamma-ray data enhancements and metadata updates, while data integrity fixes improved reliability of physics datasets. CI/CD improvements and tooling modernization reduced risk and accelerated iteration, and documentation updates ensured proper attribution and licensing compliance. Technologies demonstrated include C++ data workflow improvements, Python tooling and static analysis, and reproducible environments via lockfiles and Pandas 3 migration.

During 2025-12, the teams delivered tooling, reliability, and code updates across the artis-mcrt repositories to strengthen maintainability, data handling, and simulation accuracy. Key outcomes include automated dependency approvals and tooling refresh for artistools, extensive codebase updates across core modules, and governance and quality improvements. In artis, CI workflow enhancements with test data caching and updated toolchains reduced feedback time and increased CI stability. In artis for simulation pipelines, robust ion transition handling and automatic inclusion of missing transitions were implemented to ensure complete transition tables for kilonova models. Grid robustness and data initialization fixes, along with distance/angle calculation improvements and density safeguards, improved numerical stability. Warnings cleanup and CODEOWNERS updates further improved code quality and governance. Business value: faster, more reliable builds; reduced maintenance overhead; more accurate and robust kilonova simulations; and clearer ownership.

November 2025 (artis-mcrt/artistools) focused on reliability, performance, and richer analytics. Key feature deliveries: DependencyMaintenance — upgraded pre-commit configs, Python packages (polars, ruff) and Rust crates (pyo3) to current stable releases to boost security, performance, and ecosystem compatibility (commit: e1e4bcad54fea2f8d8b1b7bb67aff61ff626db90). PlotAbundancesAdvancement — enhanced plotting for elemental abundances by summing isotopes, refined data handling, and visuals (commits: e583286b741207756066ef8eecd65493ab07888a; f8a71487066e5d67fee8d63e64b5782cfb7de92a; 7a23299d0b52eb41bafa01948abc632c1607188d). SpontaneousFissionPlotting — added spontaneous fission power series and nuclide support (commit: 2fef01266ae229198e98e4186e98552e0a07a4a1).

October 2025 monthly summary focusing on business value and technical achievements across artis-mcrt/artistools, artis-mcrt/artis, and gittools-bot/homebrew-core. The quarter’s work delivered core feature updates, performance-oriented refactors, and CI/tooling improvements that together increased reliability, maintainability, and analytics readiness for large-scale simulations and data processing.

This month (2025-09) delivered substantial enhancements to visualization, data processing performance, and CI/CD stability across artis-mcrt/artistools and artis-mcrt/artis. The work emphasizes business value through faster data exploration, more reliable pipelines, and clearer, maintainable code, with a focus on enabling model-driven plotting, scalable data handling, and reproducible builds.

August 2025 saw substantial business value delivered across artis and artistools, with end-to-end enhancements that raise throughput, accuracy, and maintainability for production science workflows. Implemented SLURM-based simulation tooling (artis-meluxina.sh, exspec-zip-meluxina.sh) with new aliases and resource-management tweaks, enabling longer runtimes and exclusive-node allocations. Hardened NLTE solver with streamlined population validation and ion-removal logic, and expanded CMF light curve computations across all angle bins for robust directional analyses. Modernized the build/test pipeline with static analysis, clang-tidy updates, and C++26 compilation; added std::optional<float> support for thermalisation probability; migrated data/plotting pipelines to Parquet metadata and lazyframes; standardized extensions to .zst; and refreshed Rust tooling. These changes collectively improve reliability, speed of simulations and analyses, and ease of maintenance, delivering tangible business value in faster turnaround, lower risk, and better decision-ready insights.

July 2025: Major NLTE solver refactor with angle-resolved output and IO refinements; node-shared memory allocation for spectra; parallel, atomic accumulation; workflow and performance improvements (timestep sampling, conditional exspec, enhanced compression); codebase modernization and CI/tooling upgrades; cross-repo compatibility fixes and Python 3.14 readiness. Result: faster, more scalable simulations, reduced data volume, and a more maintainable platform ready for next-phase features.

June 2025 monthly summary for artis-mcrt repositories. Focus areas included improving type safety and maintainability, expanding plotting capabilities, boosting runtime performance, and modernizing dependencies and tooling. Work delivered across artistools and artis demonstrates business value through more robust code, faster data processing, and an improved developer experience.

May 2025 monthly summary for artis-mcrt/artis and artis-mcrt/artistools. Focused on delivering high-value features, performance improvements, and reliability enhancements. Key outcomes include modernization of code formatting and tooling, performance/data-structure optimizations with structures of arrays, Polars-based data processing acceleration, flexible model ingestion for Ye column, enhanced CI/test tooling, and improved documentation and deployment traceability. Major bug fixes tightened memory management, improved error handling in plotting, and edge-case resilience for parallel processing.

April 2025 performance summary across artes-mcrt/artists and artis-mcrt/artis focused on packaging stability, core feature improvements, tooling quality, hardware compatibility, and reliability. Key packaging and dependency-management enhancements were implemented (license relocation, optional dependencies, lockfile maintenance, and macOS deployment target). Core code enhancements delivered new estimator utilities and labeling improvements, plus input model path support and refurbishments. Tooling and linting were strengthened with pre-commit improvements, Ruff/type hints adoption, and PEP735 dev-deps grouping. Hardware and performance updates introduced CUDA CC80 support for A100+ and extensive memory-management refactors, along with LazyFrames optimization and PyVista lock updates. Reliability fixes addressed gamma estimation crashes for ions without groundcontindex, 3D model reading pos_[xyz]_min issues, and lightcurve labeling fixes; pellet_decaytype column was added to packet outputs to enrich data records.

March 2025 achievements across artis and artistools focused on reliability, performance, and modernizing tooling, while expanding plotting and analysis capabilities. The work delivered concrete improvements to Virgo/Artis workflows, enhanced core modules, and updated tooling to run on modern stacks (Python 3.11, latest artistools). The result is more robust submission, faster iterations for physics analyses, and clearer, better-validated plotting and reporting. Key business value: reduced run failures, faster job submission, more accurate simulations, streamlined CI and tooling, and improved code quality that reduces maintenance overhead.

February 2025 delivered substantial business and technical gains across artis and artistools. Major accomplishments include modernizing core C++ with safer memory patterns and improved NLTE handling, stabilizing builds across clang/gcc and enhancing CI/quality tooling, and advancing architectural performance with Virgo znver4 optimization and GPU RNG support. NLTE logging improvements, function cleanup, and terminology clarifications reduced technical debt and improved maintainability, while dependency/tooling updates streamlined development workflows across the two repositories.

January 2025 performance summary emphasizing cross-repo modernization, reliability, and HPC readiness. Key outcomes include migrating default data handling to Polars DataFrame in artis-mcrt/artistools (deprecating Pandas-based functions and updating the get_modeldata path), and a broad CI/CD overhaul enabling uv-based dependency management and multi-platform builds (including manylinux arm64) with updated lockfiles and installation documentation. In artis-mcrt/artis, workflow automation and HPC tooling improved via exspec-after.sh using uvx and JUWELS compatibility with the 2025 Stages, alongside log-noise reductions and CI/build stabilization (clang-format on Ubuntu, nvc++ 25.1). Additional polish covered documentation, licensing year updates, and script refactors (e.g., vpkt_input main()). Overall impact includes faster data processing, more reliable builds, broader platform support, and improved developer onboarding.

December 2024 performance summary for artis-mcrt repositories. Delivery focused on enhancing data visualization, data handling, and code quality across artistools and artis, with targeted fixes to data integrity and simulation reliability. The month also advanced tooling and packaging to support maintainability and future velocity, while preserving scientific accuracy and reproducibility.

November 2024 performance summary for artis and artistools. This month focused on automating configuration, hardening run-time safety, and modernizing tooling to boost reliability, performance, and developer productivity. The team delivered automated model-parameter discovery and startup simplifications, strengthened safeguards against invalid resumes and concurrent runs, accelerated runtime paths for NLTE processing, and upgraded the compiler/CI ecosystem to reduce friction and improve code quality. These efforts reduced time-to-value for users, improved result reliability, and laid groundwork for scalable model runs in production.