Benchmark runner for real tokamak data (currently single-shot; multi-shot and risk correlation planned)
Modular Python toolkit for dynamic toroidal modulation in frequency-domain signal processing. Extends the Ψ_universe Attractor Library v2.0 for real experimental tokamak data. The current benchmark runs one EAST discharge (#41195); multi-shot benchmarking and risk correlation analysis are planned, not yet implemented.
- Dynamic toroidal modulation in frequency-domain signal processing
- Benchmark runner for real tokamak data (single shot today; multi-shot planned)
- Risk correlation analysis across discharge parameters (planned)
- Extends the Ψ_universe attractor filter for experimental testing
# Run the toolkit
python toroidal_dynamics_toolkit.py
# Run the benchmark (single shot; requires your own east_ip.txt)
python benchmark_multi_shot.pyDependencies: Python 3.x, NumPy, SciPy.
- psi-universe-attractor — Ψ_universe attractor filter (exploratory; tested on one EAST discharge)
- tasd-core — TASD Core Framework (capstone documentation)
- tasd-framework — TASD Unified Framework (open-source release)
- q216d-tokamak-simulation — Interactive 3D plasma visualization with TASD-enhanced control
Copyright © 2026 Nicolas B. Quiroz, MD. All rights reserved for the original work.
See the LICENSE file for details.
If you use this toolkit, please cite:
Quiroz, N. B. (2026). Toroidal Dynamics Toolkit v1.0. Zenodo. https://doi.org/10.5281/zenodo.18926038
tokamak · fusion energy · plasma physics · toroidal plasma · magnetic confinement · frequency-domain signal processing