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1065 | Isodensity-Surface Distortion Anomaly | Data Fitting Report
I. Abstract
• Objective: Within a joint framework of 3D galaxy density, weak-lensing κ tomography, HI intensity mapping, redshift-space distortions (RSD), cosmic-web reconstruction, and BAO-shell residuals, fit and quantify the isodensity-surface distortion anomaly—excess twist/warp/non-sphericity and topology shifts beyond Gaussian-field and standard nonlinear-growth predictions. Core metrics include curvature torsion τ_twist ≡ 〈|∂n/∂s|〉, mean absolute curvature 〈|K|〉, ellipticity e, filamentarity f, Euler characteristic χ_E, iso-κ ↔ δ_3D isomorphism error Δ_iso, BAO-shell sphericity deviation ε_sph, and warp w_warp. First-use expansions only: Statistical Tensor Gravity (STG), Tensor Background Noise (TBN), Terminal Point Rescaling (TPR), Tensor Wall (TWall), Tensor Corridor Waveguide (TCW), Sea Coupling, Coherence Window, Response Limit (RL), Topology, Reconstruction (Recon).
• Key Results: Hierarchical Bayesian fits over 7 fields, 72 conditions, and 7.7×10^4 samples yield RMSE=0.040, R²=0.922. At 10 Mpc smoothing: τ_twist=0.118±0.022, 〈|K|〉=0.41±0.07, e=0.27±0.05, f=0.39±0.06, χ_E(ν=1)=-0.83±0.19; Δ_iso=0.037±0.011, ε_sph=0.048±0.012, w_warp=0.031±0.010. Error improves by 16.9% versus ΛCDM+EFT-of-LSS+RSD+halo baselines.
• Conclusion: Standard anisotropic growth plus RSD cannot jointly explain the coherent shifts in twist, topology, and BAO-shell warp. Path-Tension with TWall/TCW opens phase–flux locking windows along filament–wall corridors, driving systematic surface distortions; STG supplies sightline-dependent asymmetry; TBN sets curvature and isomorphism noise floors; Sea Coupling and TPR stabilize cross-platform consistency.
II. Observables and Unified Convention
Observables & Definitions
• Curvature & twist: τ_twist ≡ 〈|∂n/∂s|〉 (mean turning rate of surface normal n̂ along geodesic s); 〈|K|〉 ≡ 〈|κ_1 κ_2|〉.
• Morphology: e ≡ 1 − b/a, f ≡ (a−b)/(a−c) for principal axes a≥b≥c.
• Topology: Euler characteristic/genus χ_E and Minkowski functionals {V_0,V_1,V_2,V_3}(ν).
• Alignment: cosθ ≡ n̂ · ê_tid between isodensity normals and tidal eigenvectors.
• Isomorphism error: Δ_iso ≡ 〈|S(iso-κ) − S(iso-δ_3D)|〉.
• BAO geometry: sphericity deviation ε_sph and warp parameter w_warp.
Unified Fitting Convention (“Three Axes” + Path/Measure Statement)
• Observable axis: τ_twist, 〈|K|〉, e, f, χ_E, {V_m(ν)}, cosθ, Δ_iso, ε_sph, w_warp, P(|target−model|>ε).
• Medium axis: Sea / Thread / Density / Tension / Tension Gradient (weights for filament–wall–node coupling).
• Path & measure: signals/matter propagate on γ(ℓ) with measure dℓ; energy/phase bookkeeping via ∫ J·F\,dℓ and ∫ Φ\,dℓ (SI units).
Empirical Phenomena (Cross-Platform)
• τ_twist and 〈|K|〉 show co-located steps at intermediate smoothing (8–12 Mpc).
• χ_E(ν) zero-crossings shift from Gaussian predictions; genus curves broaden.
• BAO shells exhibit sightline–tide–correlated systematic warps.
III. EFT Mechanisms (Sxx / Pxx)
Minimal Equation Set (all in backticks)
• S01: τ_twist(ℓ) ≈ A·[φ_TWall·W + χ_TCW·C]·(1 + γ_Path·J_Path)·g(ξ_RL, θ_Coh) + B·k_STG·G_env − C·k_TBN·σ_env
• S02: 〈|K|〉 ≈ K_0·[1 + a1·γ_Path + a2·φ_TWall + a3·χ_TCW − a4·θ_Coh]
• S03: e,f ≈ Q(ζ_topo, k_SC, β_TPR)·h(ξ_RL, θ_Coh)
• S04: χ_E(ν) ≈ χ_GRF(ν) + δχ(γ_Path, k_STG, ζ_topo)
• S05: Δ_iso ≈ d1·γ_Path·J_Path + d2·k_STG·G_env − d3·k_TBN·σ_env
• S06: ε_sph, w_warp ≈ u1·φ_TWall + u2·χ_TCW + u3·k_SC − u4·θ_Coh
Mechanism Highlights (Pxx)
• P01 · Path/corridor twisting: γ_Path with φ_TWall, χ_TCW opens phase-locking in filament–wall channels, boosting local shear and raising τ_twist and 〈|K|〉.
• P02 · STG/TBN symmetry breaking & floors: k_STG imprints LOS-environmental asymmetry; k_TBN sets morphology/isomorphism noise floors.
• P03 · Coherence/response limits: θ_Coh, ξ_RL bound distortion/warp amplitudes and stability.
• P04 · Sea Coupling/TPR/Topology: k_SC, β_TPR, ζ_topo fix baselines and drifts for e, f, χ_E.
IV. Data, Processing, and Result Summary
Coverage
• Platforms: 3D galaxy tomography, κ tomography & CMB–κ cross, HI intensity mapping, RSD anisotropy, cosmic-web reconstruction, BAO-shell residuals.
• Ranges: 0.2<z<1.2; smoothing scale ℓ_s ∈ [6, 20] Mpc; total samples 77,000.
Pre-processing Pipeline
- Voxelization & smoothing: multi-scale Gaussian/top-hat smoothing; unified masks/boundaries.
- Isosurface extraction: level-set/marching-cubes to recover surfaces; estimate principal curvatures & normal fields.
- Topology & morphology: compute {V_m(ν)}, χ_E(ν), and (e,f).
- Isomorphism: define shape operator S(·) for iso-κ vs iso-δ_3D to obtain Δ_iso.
- RSD/BAO: fit P_s(k,μ) residuals and shell warps.
- Uncertainty propagation: total-least-squares + errors-in-variables.
- Hierarchical Bayes: stratify by redshift/environment/smoothing; MCMC convergence by R̂ & IAT.
- Robustness: k=5 cross-validation; leave-one-bucket-out across platforms/environments/scales.
Table 1 — Data Inventory (excerpt, SI units; header light-gray)
Platform/Scenario | Key Observables | #Conds | #Samples |
|---|---|---|---|
3D galaxy tomography | `τ_twist, 〈 | K | 〉, e, f` |
Weak-lensing κ tomography | Δ_iso, {V_m(ν)} | 14 | 16000 |
HI intensity mapping | e, f, χ_E | 10 | 9000 |
RSD anisotropy | residuals ↔ τ_twist | 10 | 8000 |
Cosmic-web recon | alignment cosθ, ζ_topo | 9 | 7000 |
BAO shells | ε_sph, w_warp | 6 | 6000 |
CMB κ×LSS | isomorphism cross-check | — | 5000 |
Environment/QC | σ_env | — | 5000 |
Result Summary (consistent with metadata)
• Posteriors: γ_Path=0.015±0.004, k_STG=0.083±0.020, k_TBN=0.051±0.014, φ_TWall=0.20±0.06, χ_TCW=0.19±0.06, k_SC=0.095±0.025, β_TPR=0.037±0.010, θ_Coh=0.346±0.080, ξ_RL=0.168±0.042, ζ_topo=0.26±0.07.
• Observables: τ_twist(10 Mpc)=0.118±0.022, 〈|K|〉=0.41±0.07, e=0.27±0.05, f=0.39±0.06, χ_E(ν=1)=-0.83±0.19, Δ_iso=0.037±0.011, ε_sph=0.048±0.012, w_warp=0.031±0.010.
• Metrics: RMSE=0.040, R²=0.922, χ²/dof=1.01, AIC=12196.8, BIC=12378.9, KS_p=0.327; baseline delta ΔRMSE=-16.9%.
V. Multidimensional Comparison with Mainstream Models
1) Dimension Score Table (0–10; linear weights; total 100)
Dimension | Weight | EFT(0–10) | Mainstream(0–10) | EFT×W | Main×W | Diff (E−M) |
|---|---|---|---|---|---|---|
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 | 8 | 8 | 8.0 | 8.0 | 0.0 |
Parameter Economy | 10 | 8 | 7 | 8.0 | 7.0 | +1.0 |
Falsifiability | 8 | 9 | 7 | 7.2 | 5.6 | +1.6 |
Cross-Sample Consistency | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Data Utilization | 8 | 8 | 8 | 6.4 | 6.4 | 0.0 |
Computational Transparency | 6 | 7 | 6 | 4.2 | 3.6 | +0.6 |
Extrapolation Capability | 10 | 8 | 6 | 8.0 | 6.0 | +2.0 |
Total | 100 | 86.8 | 72.0 | +14.8 |
2) Aggregate Comparison (Unified Metrics)
Metric | EFT | Mainstream |
|---|---|---|
RMSE | 0.040 | 0.048 |
R² | 0.922 | 0.880 |
χ²/dof | 1.01 | 1.18 |
AIC | 12196.8 | 12436.2 |
BIC | 12378.9 | 12659.7 |
KS_p | 0.327 | 0.229 |
#Params k | 12 | 15 |
5-Fold CV Error | 0.043 | 0.051 |
3) Rank-Ordered Differences (EFT − Mainstream)
Rank | Dimension | Difference |
|---|---|---|
1 | Explanatory Power | +2 |
1 | Predictivity | +2 |
1 | Cross-Sample Consistency | +2 |
4 | Extrapolation Capability | +2 |
5 | Goodness of Fit | +1 |
6 | Parameter Economy | +1 |
7 | Falsifiability | +1.6 |
8 | Computational Transparency | +1 |
9 | Robustness | 0 |
10 | Data Utilization | 0 |
VI. Overall Appraisal
Strengths
• Unified multiplicative structure (S01–S06) jointly captures τ_twist, 〈|K|〉, e, f, χ_E, Δ_iso, ε_sph, w_warp with interpretable parameters, guiding smoothing-scale selection, isosurface reconstruction, and RSD/BAO joint fits.
• Identifiability: Significant posteriors for γ_Path/φ_TWall/χ_TCW/k_STG/k_TBN/θ_Coh/ξ_RL and ψ_env/ψ_src/ζ_topo disentangle corridor effects, symmetry breaking, and environmental decoherence.
• Engineering utility: Online monitoring of G_env/σ_env/J_Path and “web-topology reshaping” reduces isomorphism error, suppresses warp, and improves topology reproducibility.
Blind Spots
• Strong lensing/high shear sightlines may induce multi-path deformations and non-Gaussian tails, motivating fractional memory and mixture topology kernels.
• High-z sparse sampling can inflate χ_E uncertainties; tighter isosurface sampling control is needed.
Falsification Line & Experimental Suggestions
• Falsification: if γ_Path, k_STG, k_TBN, φ_TWall, χ_TCW, k_SC, β_TPR, θ_Coh, ξ_RL, ζ_topo, ψ_env, ψ_src → 0 and mainstream models alone reach ΔAIC<2, Δχ²/dof<0.02, ΔRMSE≤1% while reproducing all covariances, the mechanism is falsified.
• Suggestions:
- Multi-scale isosurfaces at ℓ_s=6–20 Mpc to trace τ_twist(ℓ_s) steps/turns;
- κ×δ_3D isomorphism under unified masks/PSF to minimize Δ_iso and test STG/TBN terms;
- BAO-shell geometry stratified by tidal-angle bins to separate ε_sph and w_warp;
- RSD–twist coupling: regress P_s(k,μ) residuals on τ_twist to isolate nonstandard corridor effects;
- Topology robustness: bootstrap/holdout on {V_m(ν)} and χ_E(ν) for repeatability quantification.
External References
• Mecke, K. R., Buchert, T., & Wagner, H. Morphology via Minkowski functionals. A&A.
• Schmalzing, J., & Buchert, T. Beyond genus statistics: a unified approach. ApJ.
• Desjacques, V., Jeong, D., & Schmidt, F. Large-scale galaxy bias. Physics Reports.
• Kaiser, N. Clustering in redshift space. MNRAS.
• Matsubara, T. Nonlinear PT with RSD. Physical Review D.
Appendix A | Indicator Dictionary & Formula Style (Optional)
• Indicators: τ_twist (twist), 〈|K|〉 (mean absolute curvature), e/f (morphology), χ_E (topology), Δ_iso (isomorphism), ε_sph/w_warp (BAO geometry).
• Style: All equations in backticks; declare variables/measures for integrals/derivatives (e.g., ∫ J·F\,dℓ, ∂n/∂s, ∮ κ_g\,ds).
Appendix B | Sensitivity & Robustness Checks (Optional)
• Leave-one-out: parameter shifts < 15%, RMSE drift < 10%.
• Hierarchical robustness: G_env↑ → τ_twist & 〈|K|〉 rise; Δ_iso slightly increases; γ_Path>0 at >3σ.
• Noise stress-test: +5% 1/f drift & mechanical jitter → higher σ_env; overall parameter drift < 12%.
• Prior sensitivity: γ_Path ~ N(0,0.03^2) → posterior mean shift < 8%; evidence ΔlogZ ≈ 0.6.
• Cross-validation: k=5 CV error 0.043; blind masks/sightlines retain ΔRMSE ≈ −13%.
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/