SST Core
A lightweight Python/C++ research toolkit for knot topology, swirl-string geometry, vorticity fields, Biot–Savart evaluation, and reproducible SST numerical experiments.
Install
Start with the current SSTcore package from PyPI.
Python
python -m pip install --upgrade SSTcoreimport SSTcore as sst
print("SSTcore ready")Current focus
- Knot resources and Fourier curves
- Biot–Savart field evaluation
- Topology-informed mass modeling
- Canon-aligned numerical experiments
Core capabilities
Minimal, explicit, and reproducible computational building blocks.
Knot geometry
Work with Fourier knot representations, closed curves, polyline exports, and topological candidate datasets.
Field evaluation
Accelerated routines for Biot–Savart-style velocity fields, vorticity, curl operations, and grid-based diagnostics.
SST numerics
Canon-oriented constants, scaling checks, closure tests, and reproducible sweeps for research workflows.
Research orientation
SST Core is designed for transparent experiments, not black-box claims.
- Separate orthodox numerical methods from SST-specific interpretation.
- Keep constants, assumptions, and units explicit.
- Prefer falsifiable tests and reproducible scripts.
- Support Canon-aligned workflows for future SST publications.
Status
Early research infrastructure. Public documentation and examples are being expanded.
This site will host installation notes, examples, API references, reproducibility bundles, and links to the Swirl-String Theory research canon.