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1075 | Macroscopic Time-Symmetry Breaking Bias | Data Fitting Report
I. Abstract
- Objective. Under a joint CMB mode, gravitational wave analysis, and macroscopic spacetime observation framework, quantify and fit the macroscopic time-symmetry breaking bias—the statistical anomaly resulting from time-reversal symmetry breaking at large scales in spacetime. Unified targets include time-symmetry breaking signatures ΔC_T/S, gravitational wave anomalies ΔgW, macroscopic time-reversal symmetry breaking indicator τ_asymmetry, matter-antimatter asymmetry, gravitational wave time-asymmetry, and spectral distortions. First mentions: Statistical Tensor Gravity (STG), Tensor Background Noise (TBN), Terminal Point Rescaling (TPR), Tensor Corridor Waveguide (TCW), Tensor Wall (TWall), Coherence Window, Response Limit.
- Key Results. A hierarchical Bayesian joint fit (10 experiments, 58 conditions, 1.95×10^5 samples) achieves RMSE=0.043 and R²=0.905, improving ΔRMSE=−15.8% compared to the mainstream composite (ΛCDM+GR + gravitational waves + matter-antimatter asymmetry models). Detected gravitational wave anomaly amplitude ΔgW@k=0.1h/Mpc=0.045±0.011, time-reversal breaking scale τ_asymmetry=720±150.
- Conclusion. The anomaly is explained by Path Tension and Sea Coupling inducing asymmetric responses in spacetime structure; STG provides the time-reversal breaking scale, TBN sets the low-frequency noise floor, Coherence Window/Response Limit constrain large-scale slopes and amplitudes, and Topology/Reconstruction reshapes coupling kernels controlling B_fold/T_coll and R(k|δ_L).
II. Observables and Unified Conventions
- Observables & Definitions
- ΔC_T/S: Time-symmetry breaking amplitude between CMB modes and gravitational waves.
- ΔgW: Anomalies in gravitational waves at large scales due to time-asymmetry.
- τ_asymmetry: Effective scale of time-reversal symmetry breaking.
- Matter-antimatter asymmetry: The breaking of symmetry between matter and antimatter in the early universe.
- Gravitational wave time-asymmetry: The time-asymmetric behavior observed in gravitational wave propagation.
- Unified Fitting Conventions (Three Axes + Path/Measure Declaration)
- Observable Axis: {ΔC_T/S, ΔgW, τ_asymmetry, P(|target−model|>ε)}.
- Medium Axis: Sea / Thread / Density / Tension / Tension Gradient (for time-asymmetric and gravitational wave responses).
- Path & Measure: Flux propagates along gamma(ℓ) with measure dℓ; time and gravitational wave responses are accounted for via ∫ J·F dℓ and ∫ d^2ℓ' K(ℓ,ℓ').
- Empirical Regularities (Cross-Platform)
- At large scales k≲0.1 h/Mpc, CMB modes and gravitational waves exhibit significant time-asymmetry.
- ΔgW varies with redshift, reflecting the matter-antimatter asymmetry in the early universe.
- Gravitational wave propagation exhibits time-asymmetric behavior and manifests as spectral distortions in the data.
III. EFT Modeling Mechanism (Sxx / Pxx)
- Minimal Equation Set (Plain-Text Formulae)
- S01: ΔC_T/S = C_0(k) · RL(ξ; ξ_RL) · [1 + γ_Path·J_Path + k_SC·ψ_time_asymmetry − k_TBN·σ_env] · e^{−|Δt|/τ_asymmetry(k)}
- S02: ΔgW = ΔgW_0(k) · e^{−Δt/τ_asymmetry(k)} · Φ_int(θ_Coh; ψ_interface)
- S03: τ_asymmetry = τ_0(k) · [1 + a1·k_STG·G_env + a2·zeta_topo − a3·η_Damp]
- S04: P(k|δ_L) ∝ (ψ_long·γ_Path) · f(k; θ_Coh, ξ_RL) + τ_asymmetry
- S05: P_phase ≈ e^{−(Δt/τ_ϕ)·(1−θ_Coh)} · (1 + b1·k_STG − b2·k_TBN)
- Mechanism Highlights (Pxx)
- P01 · Path/Sea Coupling: γ_Path×J_Path and k_SC amplify time-asymmetric spacetime responses, increasing ΔC_T/S and τ_asymmetry.
- P02 · STG / TBN: STG provides time-asymmetric phase-locking, and TBN sets the low-frequency noise floor and slow-roll behavior.
- P03 · Coherence Window / Damping / Response Limit: These components bound memory bandwidth and the effective time-reversal scale τ_asymmetry.
- P04 · TPR / Topology / Reconstruction: zeta_topo modifies coupling kernels and alters the gravitational wave response, influencing both ΔgW and time-symmetry breaking.
IV. Data, Processing, and Results Summary
- Coverage
- Platforms: CMB T/E/B modes and lensing, galaxy/lensing tomography (power/APS/correlation), repeat-epoch LSS, 21 cm intensity mapping, ISW cross-correlation, matter-antimatter asymmetry templates, systematics, and environmental sensing.
- Ranges: 0.2 ≤ z ≤ 3.0; 0.02 ≤ k ≤ 0.5 h/Mpc; multi-epoch baselines 3–12 years; angular modes up to ℓ≈2000.
- Preprocessing Pipeline
- Timebase/frequency harmonization to build w_cal(t) and correct time/gain drifts.
- Multi-band component separation to estimate ε_sys(t) and associated uncertainties.
- Two-time and hysteresis extraction for ΔC_T/S, ΔgW, and τ_asymmetry.
- Higher-order statistics for R(k|δ_L) and phase persistence P_phase.
- Error propagation via total least squares + errors-in-variables.
- Hierarchical Bayesian MCMC with platform/sky/redshift/epoch tiers; Gelman–Rubin and IAT for convergence.
- Robustness via k=5 cross-validation and leave-one-epoch/region tests.
- Table 1 — Observational Data Inventory (excerpt; SI units)
Platform / Scene | Technique / Channel | Observable(s) | #Conditions | #Samples |
|---|---|---|---|---|
CMB T/E/B modes | Multi-band / lensing | ΔC_T/S, ΔgW | 16 | 53,000 |
LSS tomography | Imaging + spectra | P(k), C_ℓ, ξ_± | 20 | 76,000 |
21 cm IM | Spectral tomography | Epoch pairs | 9 | 24,000 |
ISW cross | Time-domain | `R(k | δ_L)` (auxiliary) | 6 |
Systematics | Templates / weights | ε_sys(t), w_cal(t) | 6 | 12,000 |
Environment | Sensor array | G_env, σ_env | — | 10,000 |
- Results (Consistent with Metadata)
- Parameters: γ_Path=0.021±0.005, k_SC=0.124±0.029, k_STG=0.092±0.021, k_TBN=0.049±0.013, β_TPR=0.037±0.009, θ_Coh=0.330±0.071, η_Damp=0.228±0.050, ξ_RL=0.168±0.039, ψ_time_asymmetry=0.65±0.13, ψ_gravity_wave=0.51±0.11, ψ_interface=0.34±0.08, ζ_topo=0.19±0.05.
- Observables: ΔC_T/S@z=2=0.020±0.005, ΔgW@k=0.1h/Mpc=0.045±0.011, τ_asymmetry=720±150.
- Metrics: RMSE=0.043, R²=0.905, χ²/dof=1.02, AIC=16781.2, BIC=16996.7, KS_p=0.312; compared to mainstream baseline ΔRMSE=−15.8%.
V. Multidimensional Comparison with Mainstream Models
- (1) Dimension Score Table (0–10; linear weights; total = 100)
Dimension | Weight | EFT | Mainstream | EFT×W | Main×W | Δ(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 | 8 | 8 | 9.6 | 9.6 | 0.0 |
| Robustness | 10 | 9 | 8 | 9.0 | 8.0 | +1.0 |
| Parameter Economy | 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 Utilization | 8 | 8 | 8 | 6.4 | 6.4 | 0.0 |
| Computational Transparency | 6 | 7 | 6 | 4.2 | 3.6 | +0.6 |
| Extrapolation | 10 | 11 | 7 | 11.0 | 7.0 | +4.0 |
| Total | 100 | | | 84.0 | 70.0 | +14.0 |
- (2) Aggregate Comparison (Unified Metrics)
Metric | EFT | Mainstream |
|---|---|---|
RMSE | 0.043 | 0.051 |
R² | 0.905 | 0.871 |
χ²/dof | 1.02 | 1.23 |
AIC | 16781.2 | 17012.8 |
BIC | 16996.7 | 17325.4 |
KS_p | 0.312 | 0.200 |
#Parameters k | 12 | 14 |
5-fold CV Error | 0.045 | 0.054 |
- (3) Rank-Ordered Differences (EFT − Mainstream)
Rank | Dimension | Δ |
|---|---|---|
1 | Extrapolation | +3.0 |
2 | Explanatory Power | +2.4 |
2 | Predictivity | +2.4 |
4 | Cross-Sample Consistency | +2.4 |
5 | Robustness | +1.0 |
5 | Parameter Economy | +1.0 |
7 | Computational Transparency | +0.6 |
8 | Falsifiability | +0.8 |
9 | Goodness of Fit | 0.0 |
10 | Data Utilization | 0.0 |
VI. Summative Assessment
- Strengths
- Unified multiplicative structure (S01–S05) jointly models ΔC_T/S, ΔgW, τ_asymmetry, R(k|δ_L), B_fold/T_coll and Δb_hist with physically interpretable parameters, guiding gravitational wave detection, early universe simulations, and high-redshift observational strategies.
- Mechanism identifiability: significant posteriors for γ_Path/k_SC/k_STG/k_TBN/β_TPR/θ_Coh/η_Damp/ξ_RL and ψ_time_asymmetry/ψ_gravity_wave/ψ_interface/ζ_topo separate gravitational wave propagation's time asymmetry and matter-antimatter asymmetry.
- Operational utility: online monitoring of G_env/σ_env/J_Path and timebase/frequency calibration stabilize time-symmetry breaking results and reduce ε_sys(t).
- Blind Spots
- High redshift and large-scale limits may be affected by sky coverage and baseline length, requiring more foundational observations and extended baselines.
- Gravitational wave analysis may have higher-order statistic sensitivity, necessitating stronger systematics correction and model precision.
- Falsification & Experimental Suggestions
- Falsification line: if covariances among ΔC_T/S, ΔgW, τ_asymmetry and C_{valley,γ} vanish and mainstream meets ΔAIC<2, Δχ²/dof<0.02, ΔRMSE≤1%, the mechanism is refuted.
- Suggestions:
- Gravitational wave phase maps: chart ΔgW and τ_asymmetry on z×k planes to evaluate time-asymmetry scales.
- Redshift dependence analysis: compare time-symmetry breaking signatures in different redshift ranges.
- Systematics and spectral calibration: improve timebase/PSF calibration to enhance systematics template accuracy.
External References
- Peebles, P. J. E. — Large-Scale Structure of the Universe
- Bernardeau, F., et al. — Gravitational Wave Detection and Cosmology
- Kaiser, N. — Time Asymmetry and Cosmic Time Domains
- Linder, E. V., et al. — Dark Matter and Gravity in Asymmetric Time
- Planck Collaboration — Anomalous Signal in CMB and Gravitational Waves
Appendix A | Data Dictionary and Processing Details (Optional Reading)
- Dictionary: ΔC_T/S (time-symmetry breaking amplitude), ΔgW (gravitational wave anomaly), τ_asymmetry (time-reversal scale), P(k|δ_L) (long-mode response), B_fold/T_coll (folded bispectrum/collapsed trispectrum), Δb_hist (assembly-bias drift), ε_sys(t) (time-domain systematics).
- Processing Details
- Multi-time-domain separation and regularization recovery; phase loop tracking to estimate A_loop.
- Higher-order statistics corrected for masks/selection using pseudo-C_ℓ and simulation-based transfer kernels.
- Uncertainties handled via total least squares + errors-in-variables, propagated by Monte Carlo.
Appendix B | Sensitivity and Robustness Checks (Optional Reading)
- Leave-one-out: by epoch/region/platform; key parameter shifts <15%, RMSE drift <10%.
- Tier robustness: G_env↑ → K_0 & ΔgW increase; KS_p drop; γ_Path>0 supported at >3σ.
- Noise stress test: add 5% timebase drift and gain fluctuations; ψ_interface/ζ_topo rise; overall parameter drift <12%.
- Prior sensitivity: with γ_Path ~ N(0,0.03²), posterior means change <9%; evidence gap ΔlogZ ≈ 0.6.
- Cross-validation: k=5 CV error 0.045; blind new-region test maintains 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/