| # Savant_v7 Stability Engine (RRF Φ5.2) |
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| ## 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)**. |
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| It utilizes a 15-dimensional physical feature schema to predict the 'Goodness of Fit' ($p_{good}$) of a 3-parameter logarithmic RRF potential: |
| $$v^2(r) = GM/r + lpha \log(1 + r/r_0)$$ |
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| ## 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. |
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| ## 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 | |
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| ## 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). |
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| ## 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. |
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| ## Citation |
| If using this model in academic research, please cite the RRF Φ5.2 framework documentation and the SPARC dataset calibration session. |
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| **Author:** A. Padilla Morales |
| **Status:** SECURED_RESONANT | PUBLICATION_READY |
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