Savant_v7 Stability Engine (RRF Φ5.2)
Overview
The Savant_v7 Stability Engine is a machine-learning-based classification and prediction system designed to evaluate the topological stability of galactic rotation curves within the Resonance of Reality Framework (Φ5.2).
It utilizes a 15-dimensional physical feature schema to predict the 'Goodness of Fit' ($p_{good}$) of a 3-parameter logarithmic RRF potential: v^2(r) = GM/r + lpha \log(1 + r/r_0)
Technical Specifications
- Architecture: Ensemble including Gradient Boosting Machine (GBM), Logistic Regression (L2), and SVM.
- Input Schema: 15D Feature Vector (Physical descriptors including alpha coupling, core radius, and baryonic fractions).
- Primary Metric: $p_{good}$ (Probability of a stable, non-chaotic topological state).
- Theoretical Alignment: 81.63% compliance with icosahedral unit-lattice theory.
15D Feature Schema
| Index | Feature | Description |
|---|---|---|
| 0 | log_alpha | Logarithmic RRF coupling strength |
| 1 | log_r0 | Core radius scaling parameter |
| 2 | log_M | Total galactic mass (solar units) |
| 3 | v_inf_norm | Normalized asymptotic velocity |
| 4 | chi2r_clip | Reduced Chi-Squared (Fit quality) |
| 9 | v_rms_residual | Root Mean Square error of kinematic fit |
| 11 | log_distance | Distance to galaxy (Primary stability driver) |
| 14 | keplerian_frac | Baryonic vs. RRF potential ratio at r_half |
Key Validation Results
- Symmetry-Breaking Threshold: Verified at $\sigma \approx 0.000204$.
- Global Shift Factor: 0.0200 (Required for transitioning from kinematic to topological peaks).
- Network Coherence: $r \approx -0.3416$ (Observed resonance-entropy convergence).
Repository Contents
rrf_v7_gbm.joblib: Primary predictive model.rrf_v7_scaler.joblib: StandardScaler for feature normalization.model_config.json: Metadata and physical constants for deployment.
Citation
If using this model in academic research, please cite the RRF Φ5.2 framework documentation and the SPARC dataset calibration session.
Author: A. Padilla Morales
Status: SECURED_RESONANT | PUBLICATION_READY