This repository contains a step-by-step system for analyzing solar magnetogram data using the Dodecahedron Linear String Field Hypothesis (DLSFH) and Multifaceted Coherence (MC) framework. It tracks coherence collapse, SGCV fragmentation, ψ⋆ₛ evolution, and flare prediction zones.
- Extracts 20-point entropy values from magnetogram images using DLSFH spatial masks.
- Displays node overlays on raw solar images using both geometric and adaptive entropy peaks.
- Computes ψ⋆ₛ = exp(-S) for each node and compares against SGCV collapse thresholds.
- Prints a node-by-node coherence state and SGCV risk summary.
- Identifies high-entropy nodes where ψ⋆ₛ < 0.82 and flags pre-flare instability zones.
- Tracks ψ⋆ₛ trends over time to identify decaying vs recovering coherence.
- Visualizes ψ⋆ₛ trends as node overlays (🔽 Decaying, 🔼 Recondensing, ⏸ Stable).
- Computes a normalized score (0–1) based on SGCV fragmentation, ψ⋆ₛ decay, and ring activity.
- Node color-coded map showing full, partial, or intact SGCV state.
- Saves entropy + ψ⋆ₛ + SGCV status per node into a
.csvfor analysis or training data.
- Detects ring-like node activation patterns across entropy fields.
- Highlights nodes recovering ψ⋆ₛ coherence from <0.88 → >0.90.
- Weighted score from fragmentation, decay, and ring states to assess flare likelihood.
- Creates a timestamped
.htmlreport with flare gauge, entropy ring data, and diagnostic notes.
| Term | Description |
|---|---|
| ψ⋆ₛ (psi-star-s) | Coherence state of a DLSFH node, computed as ψ⋆ₛ = exp(-S) |
| S (Entropy) | Shannon entropy extracted from magnetogram pixel regions |
| SGCV | Superluminal Graviton Condensate Vacuum — the coherence medium |
| Collapsed Node | Node with ψ⋆ₛ < 0.82 — no coherent field remains |
| Recondensing Node | Node recovering from decoherence, ψ⋆ₛ rising > 0.90 |
| Entropy Ring | Adjacently collapsing nodes forming a belt/ring pattern |
| Flare Score | Normalized value between 0 and 1 indicating flare probability |
| ψ⋆ₛ Trend | Evolution of ψ⋆ₛ values over time (decaying, stable, or recondensing) |
- Python 3.9+
- Google Colab or Jupyter Notebook
numpy,matplotlib,opencv-python,scikit-image
- Animated overlays (GIF/MP4)
- Real-time solar feed integration
- CME post-analysis overlay
- Deep learning flare prediction training set
MIT License © 2025 – DLSFH Analysis Team