Why I built it
I began developing Alfvenica while working with spacecraft observations and kinetic-Alfvén-wave problems. Repeatedly checking units, conventions, assumptions, and limiting cases was often as important as obtaining the numerical result. The toolkit grew from that practical need.
What it is for
Alfvenica combines a searchable calculator, physical interpretation, controlled plotting, illustrative plasma states, explicit model assumptions, primary references, and an in-browser validation report. It supports first-pass estimates, teaching, consistency checks, and transparent methods—not automated wave identification.
Design, units, and privacy
Calculations and plots run locally through one registered calculation core with explicit unit conventions; input values are not transmitted. Space, SI display, and CGS-oriented mixed choices are interface conversions only; the mixed mode is not a complete Gaussian/esu/emu implementation and retains electrical resistivity and conductivity in SI. Formula definitions, assumptions, references, interpretations, plots, and tests remain separated to reduce scientific drift.
Scientific basis and validation evidence
Constants cite CODATA 2022, standard coefficient targets cite the 2023 NRL Plasma Formulary, and model-specific entries retain literature references and stated conditions. The current in-browser evidence includes six source-anchored A_REFERENCE coefficient comparators and one C_UNIT conversion anchor; identities and regression or implementation checks remain separately classified. Development-only scaling checks and the P_PROVENANCE core hash are reported separately in Validation and the formula audit.
Scope and limitations
Single-ion, scalar-temperature, fluid, reduced two-fluid, bi-Maxwellian, and frozen-flow assumptions appear in several tools. Characteristic scales are usually ordering scales, not sharp universal boundaries. Alfvenica does not replace kinetic dispersion solvers, instrument pipelines, event context, or uncertainty analysis.
AI-assisted development
ChatGPT and Anthropic Claude assisted with software development, documentation, testing, and technical consistency checks. All AI-assisted outputs incorporated into Alfvenica were reviewed and verified by the author against the source code, scientific references, and numerical tests, as applicable.
Collaboration and feedback
Alfvenica is under continuing development. Scientific corrections, independent benchmarks, documentation improvements, code contributions, feedback, and genuine research collaboration are welcome. Report a scientific issue or read the contribution guide.