Unifying Physics and Beyond

A research-first, reproducible workspace for exploring unification ideas in physics, mathematics, computation, and experiment design.

This repository is intentionally structured to support:

• Validated math (derivations, assumptions, checks)
• Algorithms (implementations + benchmarks)
• Simulations (reproducible runs, configs, seeds)
• Experimental ideas (protocols, apparatus notes, measurement plans)
• Cross-examination (compare models vs. data, compare models vs. models)
• Transparent research logging (decisions, failed attempts, next steps)

⚠️ This is not a claim that any “unification” is correct. It is a tooling + process repo to make exploration rigorous and shareable.

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Repository layout

• src/unifying_physics/ — core Python package (algorithms, models, utilities)
• theory/ — math notes, derivations, assumptions, references (Markdown/LaTeX)
• simulations/ — simulation drivers, configs, reproducible experiments
• experiments/ — experimental protocols, lab notes, sensor/DAQ plans
• notebooks/ — exploratory notebooks (keep “final” work in src/ + simulations/)
• research_log/ — day-by-day research log (what changed + why)
• data/ — not tracked by git (use DVC/LFS/remote storage); structure is provided
• docs/ — documentation site sources (MkDocs)
• tests/ — unit/regression tests
• .github/ — issue templates + CI

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Quickstart (local)

1) Create a virtual environment

python -m venv .venv
source .venv/bin/activate  # (Windows: .venv\Scripts\activate)
python -m pip install -U pip

2) Install the package (editable) + dev tools

pip install -e ".[dev,docs]"

3) Run tests and lint

pytest
ruff check .

4) Run the demo CLI

python -m unifying_physics --help
python -m unifying_physics demo

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Reproducibility conventions

• Every simulation should have:
  • a config file under simulations/configs/
  • a fixed RNG seed
  • an output folder under runs/ outside git (recommended)
• Every derivation should state:
  • assumptions (units, symmetries, approximations)
  • domains of validity
  • dimensional checks / limiting cases

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How to contribute

See CONTRIBUTING.md. The short version:

1. Open an issue describing the goal (theory/sim/experiment)
2. Propose acceptance criteria (what does “done” mean?)
3. Implement with tests and a reproducible example
4. Update docs/logs so others can follow

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Citation

If you use this repo in academic work, please cite it using CITATION.cff.

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License

MIT — see LICENSE.