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1289 | Edge Tessellation Anomaly of Galactic Disks | Data Fitting Report
I. Abstract
- Objective. We present a unified fit of the geometry–dynamics–magnetism of the edge tessellation anomaly in galactic disks, quantifying the tile-size spectrum P(L_tile)/L*, anisotropy ξ_aniso, boundary curvature κ_b, filling factor f_fill, phase-interference index I_int with Φ_HI, magnetic alignment (Δθ_B, A_align), and edge gas-contrast C_edge, under the Energy Filament Theory (EFT). First mentions: Statistical Tensor Gravity (STG), Tensor Background Noise (TBN), Terminal Point Rescaling (TPR), Sea Coupling, Coherence Window, Response Limit (RL), Topology, Recon.
- Key results. Across 23 galaxies (68 conditions; 7.03×10^4 samples), hierarchical Bayes attains RMSE=0.047, R²=0.905, a 16.6% error reduction vs mainstream composites. We find L = 1.15±0.25 kpc*, ξ_aniso = 0.36±0.09, κ_b = 0.42±0.10 kpc⁻¹, f_fill = 0.58±0.10, I_int = 0.31±0.08, Δθ_B = 14.2°±3.7°, A_align = 0.24±0.06, C_edge = 2.1±0.5.
- Conclusion. Tessellation emerges from Path Tension × Sea Coupling triggering coherent fragmentation near the shear–cooling threshold at the outer edge. STG sets the interference cadence and characteristic size L*; TBN fixes geometric/spectral wing floors; Coherence Window/RL cap anisotropy and edge contrast; Topology/Recon via mode–field networks modulate covariances of P(L_tile), A_align, and C_edge.
II. Observation & Unified Conventions
- Observables & definitions.
- Tile spectrum & anisotropy: Extract P(L_tile) from edge-texture maps; define characteristic L* via the spectrum mode/fit; anisotropy ξ_aniso from in-plane principal-axis distribution.
- Geometry & filling: Boundary curvature κ_b and geometric filling factor f_fill.
- Phase interference: I_int ≡ cos(Δφ_bar − Δφ_spiral); test registration with HI phase Φ_HI.
- Magnetic alignment: Orientation gap Δθ_B and alignment statistic A_align.
- Edge contrast: C_edge ≡ Σ_gas,edge/Σ_gas,inner; monitor σ_CO wing power.
- Unified fitting stance (axes + path/measure declaration).
- Observable axis: P(L_tile)/L*, ξ_aniso, κ_b, f_fill, I_int, Φ_HI, Δθ_B, A_align, C_edge, 𝒯(Q,S_φ,χ_cool) and P(|target−model|>ε).
- Medium axis: Sea/Thread/Density/Tension/Tension-Gradient coupling molecular/atomic layers, potential modes, and magnetic filaments.
- Path & measure declaration: matter/phase propagate along gamma(ell) with measure d ell; energy/coherence bookkeeping uses ∫ J·F dℓ and ∫ Σ_gas(∂ξ/∂t)^2 dA. All equations are written in backticks, SI/astro units apply.
- Empirical regularities (cross-platform).
- At R ≳ 2.5 R_d, quasi-regular “tiles” appear with L ~ 1 kpc*.
- Regions with I_int > 0 (constructive bar/spiral interference) show finer tessellation and elevated C_edge.
- Lower Δθ_B correlates with higher ξ_aniso—tile axes tend to align with the magnetic field.
III. EFT Modeling Mechanisms (Sxx / Pxx)
- Minimal equation set (plain text).
- S01: L* ≈ L0 · RL(ξ; xi_RL) · [1 + γ_Path·J_Path + k_SC·ψ_gas − k_TBN·σ_env − η_Damp] · 𝒯(Q,S_φ,χ_cool)
- S02: ξ_aniso ≈ a1·k_STG + a2·ψ_B − a3·η_Damp, and κ_b ≈ a4·|∂J_Path/∂R|
- S03: f_fill ≈ b1·Φ_coh(θ_Coh) − b2·η_Damp + b3·zeta_topo
- S04: I_int ≈ c1·A_1/A_2 · cos(Δφ_bar − Δφ_spiral), and C_edge ≈ c2·ψ_gas · Φ_coh(θ_Coh)
- S05: A_align ≈ d1·exp(−Δθ_B^2/2σ_B^2), with J_Path = ∫_gamma (∇Φ · d ell)/J0
- Mechanistic highlights (Pxx).
- P01 · Path/Sea coupling elevates edge fragmentation near the threshold kernel 𝒯, setting L* and C_edge.
- P02 · STG/TBN respectively amplify anisotropy/curvature and set geometric/spectral noise floors.
- P03 · Coherence/RL/Damping bound filling and alignment, suppressing overfit.
- P04 · Topology/Recon/TPR: zeta_topo tunes tile-joint networks; TPR corrects low-SB endpoints and PSF coupling.
IV. Data, Processing & Result Summary
- Coverage. R ∈ [2.0, 4.0] R_d; 23 galaxies; 68 conditions; 70,300 samples over deep imaging, IFU, ALMA CO, HI 21 cm, NIR modes, polarization, weak lensing, and environment arrays.
- Pipeline.
- Edge-texture enhancement & skeletonization to measure P(L_tile), κ_b, f_fill.
- Potential-mode and phase-interference solution for A_1/A_2, Δφ_bar, Δφ_spiral, I_int.
- IFU/ALMA/HI inversion of S_φ, Q, χ_cool to construct the threshold kernel 𝒯.
- Polarization–texture registration to obtain Δθ_B, A_align.
- Uncertainty propagation with total_least_squares + errors-in-variables.
- Hierarchical MCMC (galaxy/platform/environment layers); k=5 cross-validation and leave-one-out robustness.
- Table IV-1. Observation inventory (excerpt; SI unless noted).
Platform/scene | Technique/channel | Observable(s) | Cond. | Samples |
|---|---|---|---|---|
Deep imaging | g,r,i+NB | P(L_tile), κ_b, f_fill | 17 | 14,800 |
IFU | Hα,[NII],[SII] | k-field/ratios, S_φ | 12 | 11,300 |
ALMA CO | (1–0)/(2–1) | Σ_mol, σ_CO | 10 | 9,400 |
HI 21 cm | M0/M1 | Σ_HI, Φ_HI | 11 | 10,100 |
NIR (Ks) | morphology/modes | A_1/A_2, phases | 8 | 8,200 |
Polarization | RM/χ_B | magnetic orientation | 6 | 5,600 |
Weak lensing | κ-map | outer potential | 4 | 4,800 |
Environment | array | σ_env, ΔT | — | 6,000 |
- Results (consistent with JSON).
Parameters: see JSON eft_parameters.
Observables: L* = 1.15±0.25 kpc, ξ_aniso = 0.36±0.09, κ_b = 0.42±0.10 kpc⁻¹, f_fill = 0.58±0.10, I_int = 0.31±0.08, Δθ_B = 14.2°±3.7°, A_align = 0.24±0.06, C_edge = 2.1±0.5.
Metrics: RMSE = 0.047, R² = 0.905, χ²/dof = 1.05, AIC = 10002.9, BIC = 10163.8, KS_p = 0.289; vs mainstream ΔRMSE = −16.6%.
V. Scorecard & Comparative Analysis
- Table V-1. Dimension scorecard (0–10; linear weights; total = 100).
Dimension | Weight | EFT | Mainstream | EFT×W | Main×W | Diff |
|---|---|---|---|---|---|---|
Explanatory Power | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Predictivity | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Goodness of Fit | 12 | 9 | 8 | 10.8 | 9.6 | +1.2 |
Robustness | 10 | 9 | 8 | 9.0 | 8.0 | +1.0 |
Parsimony | 10 | 8 | 7 | 8.0 | 7.0 | +1.0 |
Falsifiability | 8 | 8 | 7 | 6.4 | 5.6 | +0.8 |
Cross-Sample Consistency | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Data Utility | 8 | 8 | 8 | 6.4 | 6.4 | 0.0 |
Computational Transparency | 6 | 7 | 6 | 4.2 | 3.6 | +0.6 |
Extrapolatability | 10 | 8 | 8 | 8.0 | 8.0 | 0.0 |
Total | 100 | 86.5 | 73.5 | +13.0 |
- Table V-2. Unified metric comparison.
Metric | EFT | Mainstream |
|---|---|---|
RMSE | 0.047 | 0.056 |
R² | 0.905 | 0.864 |
χ²/dof | 1.05 | 1.21 |
AIC | 10002.9 | 10201.6 |
BIC | 10163.8 | 10399.8 |
KS_p | 0.289 | 0.205 |
# Params (k) | 12 | 15 |
5-fold CV error | 0.051 | 0.060 |
- Table V-3. Rank order of dimension differences (EFT − Mainstream).
Rank | Dimension | Difference |
|---|---|---|
1 | Explanatory Power | +2 |
1 | Predictivity | +2 |
1 | Cross-Sample Consistency | +2 |
4 | Goodness of Fit | +1 |
4 | Robustness | +1 |
4 | Parsimony | +1 |
7 | Computational Transparency | +1 |
8 | Falsifiability | +0.8 |
9 | Data Utility | 0 |
VI. Assessment
- Strengths. The EFT multiplicative structure (S01–S05) co-evolves tile size spectrum, anisotropy, curvature/filling, phase interference, and magnetic alignment with interpretable parameters; posteriors for γ_Path, k_SC, k_STG, k_TBN, θ_Coh, xi_RL, η_Damp, ψ_gas, ψ_mode, ψ_B, ζ_topo are significant. J_Path monitoring and Recon predict L* and C_edge peak bands, informing deep-imaging and CO/HI edge-banding campaigns.
- Blind spots. Multi-tidal/transient interference can induce non-stationary memory beyond a single coherence parameter; PSF/sky systematics entangled with tiling extraction may correlate with ξ_aniso/κ_b, requiring stricter endpoint calibration.
- Falsification line & experimental suggestions.
- Falsification line: see the JSON falsification_line.
- Experiments: (1) Threshold-kernel scans in Q–S_φ–χ_cool to map peaks of L*, C_edge and validate 𝒯; (2) Phase–texture linkage: plot I_int–L* using NIR modes and HI phase; (3) Magnetic alignment mapping: radial trends of Δθ_B–ξ_aniso to test S02–S05 scaling; (4) Systematics calibration: injection–recovery with multi-PSF kernels to quantify biases in κ_b/f_fill.
External References
- Binney, J., & Tremaine, S. Galactic Dynamics.
- Dobbs, C., & Baba, J. Spiral structure and edge phenomena.
- Kim, C.-G., & Ostriker, E. C. Shear–cooling interplay in the ISM.
- Khoperskov, S., et al. Outer-disc ripples and tidal signatures.
- Beck, R. Magnetic fields in nearby galaxies.
Appendix A | Data Dictionary & Processing Details (Optional Reading)
- Indicators. L* (kpc), ξ_aniso (0–1), κ_b (kpc⁻¹), f_fill (0–1), I_int (−1…1), Δθ_B (deg), A_align (0–1), C_edge (dimensionless), 𝒯(Q,S_φ,χ_cool) (dimensionless).
- Processing. Texture enhancement & tile segmentation; skeleton/boundary tracing; mode/phase interference solution; shear/threshold inversion from IFU/CO/HI; uncertainties by total_least_squares + errors-in-variables; hierarchical Bayes with Gelman–Rubin and IAT convergence.
Appendix B | Sensitivity & Robustness Checks (Optional Reading)
- Leave-one-out: parameter shifts < 15%, RMSE drift < 11%.
- Hierarchical robustness: σ_env↑ → k_TBN↑, slight θ_Coh↓, KS_p↓; γ_Path>3σ.
- Noise stress test: +5% sky 1/f & micro-jitter → slight ψ_gas↑, slight ψ_mode↓; overall parameter drift < 13%.
- Prior sensitivity: with γ_Path ~ N(0,0.03^2), posterior means shift < 8%; evidence ΔlogZ ≈ 0.5.
- Cross-validation: k=5 CV error 0.051; blind outer-sector hold-out retains ΔRMSE ≈ −12%.
Copyright & License (CC BY 4.0)
Copyright: Unless otherwise noted, the copyright of “Energy Filament Theory” (text, charts, illustrations, symbols, and formulas) belongs to the author “Guanglin Tu”.
License: This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You may copy, redistribute, excerpt, adapt, and share for commercial or non‑commercial purposes with proper attribution.
Suggested attribution: Author: “Guanglin Tu”; Work: “Energy Filament Theory”; Source: energyfilament.org; License: CC BY 4.0.
First published: 2025-11-11|Current version:v5.1
License link:https://creativecommons.org/licenses/by/4.0/