SUBSTRATE

From quantum vacuum to geomagnetic civilization risk — a multi-scale computational framework.

SUBSTRATE is a unified research platform analyzing electromagnetic fields across all physical scales: from quantum field theory and quantum biological sensing, through geomagnetic dynamics and solar physics, to cosmological structure.

The thesis

At every scale, the same question: what is the substrate generating the observable pattern?

• Quantum vacuum fluctuations → fields → forces
• Radical pair coherence → biological magnetoreception
• Geomagnetic field → civilizational protection layer
• Heliospheric dynamics → cosmic ray modulation
• CMB fluctuations → large-scale structure
• Neural state (EEG) → physical parameter modulation ← KHAOS bridge

Modules

Module	Status	Description
quantum_lab	✅ Operational	Lattice gauge theory, tensor networks, hand-written U(1) plaquette CUDA kernel (roofline crossover, kernel-only up to 154× vs JAX-CPU)
cryptotn_gpu	✅ Operational	Radical pair quantum biology, χ tensor engine
magnon	✅ Operational	Avian magnetoreception, Lindblad dynamics
cycle_project	✅ Operational	Geomagnetic field: detection, simulation, RAG, monitor, forecast
simulations	✅ Integrated	Multi-domain physics simulations — see below
pattern_analysis	✅ Integrated	Rust Welch FFT + cross-modal PNG/audio/JSON analytics
heliospheric	📋 Planned	Solar dynamo, Be-10 proxy, heliosphere coupling
cosmological	📋 Planned	CMB anomaly detection (Planck data, GNN)

simulations — submodules

Submodule	Scripts	Description
cosmology	28	Alcubierre warp drive, Kerr-Newman geodesics, big bang/BBN/CMB, Hawking evaporation, wormholes, Gödel CTC, Taub-NUT, ER=EPR, big rip, Unruh effect
quantum	13	3-body quantum chaos (RK4 + Euler-Maruyama), Wheeler delayed choice, quantum Zeno, instanton tunneling, QCD confinement, LQG spin networks, Orch-OR microtubules, Landauer-Bekenstein, fractal dimension
astrophysics	14	Real TESS/NASA transit data (TOI-1444, TIC98796344, TIC400799224), exoplanet hunting, JWST, biosignatures, dark matter galaxy rotation, radial velocity validation
bci_bridge	8	KHAOS EEG → physics parameter bridge: Kerr-Newman spin ← calm_index, Orch-OR coherence ← alpha power, Schumann nexus, Muse 2 UDP/OSC stack
sonification	6	Physics-to-audio mappings, spectral analysis, 48-file WAV corpus

Data corpus (in simulations/data/): 48 WAV · 64 PNG · 8 JSON telemetry files

pattern_analysis

Rust FFT engine (Welch PSD, spectral slope β, centroid, entropy, flatness) + Python cross-modal analyzer (audio × visual × telemetry correlation matrices, PCA, Ward dendrogram). 47 WAVs analyzed, unified_analysis.json produced.

Connects to: KHAOS (BCI telemetry), HELIOS (time-series correlation)

Quick Start (Arch Linux / iNFAMØUS)

git clone <repo> && cd SUBSTRATE
bash install.sh        # install deps, build Rust + CUDA kernels, run smoke tests
bash validate.sh       # pre-switch checklist — must be all-green before deploying
./target/release/substrate run

Windows note: install.sh / validate.sh are Bash scripts for the Arch target. On the dev machine use Git Bash or WSL to inspect them; chmod +x is a no-op on NTFS but the execute bit is preserved when pushed and cloned on Linux.

Running the pipeline

python pipeline.py --module cycle_project
python pipeline.py --module all

Hardware

• GPU: RTX 5060 Ti (sm_120, Blackwell, 16GB)
• PyTorch nightly cu128
• Rust 2021 edition