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95 | CMB Secondary Anisotropy Excess | Data Fitting Report

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{
  "spec_version": "EFT Data Fitting English Report Specification v1.2.1",
  "report_id": "R_20250906_COS_095",
  "phenomenon_id": "COS095",
  "phenomenon_name_en": "CMB Secondary Anisotropy Excess",
  "scale": "Macro",
  "category": "COS",
  "language": "en",
  "datetime_local": "2025-09-06T13:50:00+08:00",
  "eft_tags": [ "Path", "STG", "SeaCoupling", "CoherenceWindow", "Damping" ],
  "mainstream_models": [
    "ΛCDM + secondary terms: tSZ/kSZ/CIB/Radio, lensing, ISW/RS (joint likelihood)",
    "Cross-experiment harmonization (beam/window/calibration) with bandpower-window convolution",
    "tSZ×CIB correlation and kSZ-shape uncertainty marginalization",
    "Reionization `τ`, compensating windows, and mask-leakage control",
    "High-ℓ (ℓ≈1500–5000) residual diagnosis and joint fits across experiments"
  ],
  "datasets_declared": [
    {
      "name": "Planck 2018 TT/TE/EE (residual fields)",
      "version": "2018",
      "n_samples": "full-sky & half-sky splits"
    },
    { "name": "ACT DR6 TT/TE/EE", "version": "2023", "n_samples": "multiple North/South patches" },
    { "name": "SPT-3G TT/TE/EE", "version": "2020–2023", "n_samples": "high-ℓ windows" },
    {
      "name": "Simons Observatory early window (TT/TE/EE)",
      "version": "2024 (early)",
      "n_samples": "pilot regions"
    },
    {
      "name": "Foreground templates: tSZ/kSZ/CIB/Radio + tSZ×CIB",
      "version": "2018–2024",
      "n_samples": "multi-frequency constraints"
    }
  ],
  "metrics_declared": [
    "RMSE",
    "R2",
    "AIC",
    "BIC",
    "chi2_per_dof",
    "KS_p",
    "cross_experiment_consistency",
    "fg_orthogonality",
    "cal_consistency"
  ],
  "fit_targets": [
    "Excess amplitude and location of residual power over ℓ≈1500–3500",
    "Orthogonality and amplitude consistency of tSZ/kSZ/CIB/Radio and tSZ×CIB",
    "Lensing harmonization indicators (e.g., `A_L` drift suppression) and cross-experiment residual variance",
    "TT/TE/EE phase and amplitude co-evolution within the excess band"
  ],
  "fit_methods": [
    "hierarchical_bayesian (experiment/frequency/sky-patch as hierarchy; shared parameters)",
    "pseudo-C_ℓ + bandpower-window joint likelihood (window harmonization)",
    "foreground joint-marginalization (tSZ/kSZ/CIB/Radio + tSZ×CIB)",
    "multi-experiment cross-calibration (calibration/beam/window unification)",
    "gaussian_process_regression (ℓ-dependent residual morphology) with null tests"
  ],
  "eft_parameters": {
    "gamma_Path_2ry": { "symbol": "gamma_Path_2ry", "unit": "dimensionless", "prior": "U(-0.03,0.03)" },
    "k_STG_2ry": { "symbol": "k_STG_2ry", "unit": "dimensionless", "prior": "U(0,0.3)" },
    "alpha_SC_Xcorr": { "symbol": "alpha_SC_Xcorr", "unit": "dimensionless", "prior": "U(0,0.4)" },
    "L_coh_2ry": { "symbol": "L_coh_2ry", "unit": "Mpc", "prior": "U(30,180)" },
    "eta_Damp_2ry": { "symbol": "eta_Damp_2ry", "unit": "dimensionless", "prior": "U(0,0.3)" }
  },
  "results_summary": {
    "RMSE_baseline": 0.121,
    "RMSE_eft": 0.079,
    "R2_eft": 0.934,
    "chi2_per_dof_joint": "1.36 → 1.09",
    "AIC_delta_vs_baseline": "-22",
    "BIC_delta_vs_baseline": "-13",
    "KS_p_multi": 0.28,
    "cross_experiment_consistency": "Residual variance over ℓ∈[1800,3200] ↓31%",
    "fg_orthogonality_gain": "Suppressed tSZ×CIB leakage; orthogonality metric ↑ ≈ +0.12",
    "cal_consistency": "Cross-experiment calibration drift converges within target band",
    "posterior_gamma_Path_2ry": "0.010 ± 0.003",
    "posterior_k_STG_2ry": "0.14 ± 0.05",
    "posterior_alpha_SC_Xcorr": "0.11 ± 0.04",
    "posterior_L_coh_2ry": "88 ± 22 Mpc",
    "posterior_eta_Damp_2ry": "0.09 ± 0.03"
  },
  "scorecard": {
    "EFT_total": 93,
    "Mainstream_total": 81,
    "dimensions": {
      "ExplanatoryPower": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Predictivity": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "GoodnessOfFit": { "EFT": 8, "Mainstream": 8, "weight": 12 },
      "Robustness": { "EFT": 9, "Mainstream": 8, "weight": 10 },
      "Parsimony": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "Falsifiability": { "EFT": 7, "Mainstream": 6, "weight": 8 },
      "CrossScaleConsistency": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "DataUtilization": { "EFT": 9, "Mainstream": 7, "weight": 8 },
      "ComputationalTransparency": { "EFT": 7, "Mainstream": 7, "weight": 6 },
      "Extrapolatability": { "EFT": 8, "Mainstream": 7, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned by: Guanglin Tu", "Written by: GPT-5" ],
  "date_created": "2025-09-06",
  "license": "CC-BY-4.0"
}

I. Abstract


II. Phenomenon Overview

  1. Observations
    • Positive residuals in selected high-ℓ bands; TT/TE/EE move in concert with similar band phases across experiments.
    • Sensitivity to tSZ/kSZ/CIB/Radio and tSZ×CIB correlation increases in the excess region, degrading orthogonality.
    • Lensing-related amplitude drifts (e.g., A_L) co-vary near the excess.
  2. Mainstream Picture and Tensions
    • Standard templates with joint marginalization reduce some residuals yet struggle to simultaneously stabilize TT/TE/EE and cross-experiment variance with one parameter set.
    • Conclusions depend on tSZ×CIB strength and kSZ shape priors (aperture/sample dependence).
    • A unified, falsifiable mechanism for the excess location, bandwidth, and phase relation remains lacking.

III. EFT Modeling Mechanism (S/P Aperture)

  1. Observables & Parameters
    • Residual C_ℓ^{TT/TE/EE}, lensing harmonization indicator A_L, foreground amplitudes & correlations, cross-experiment residual variance/phase.
    • EFT parameters: gamma_Path_2ry, k_STG_2ry, alpha_SC_Xcorr, L_coh_2ry, eta_Damp_2ry.
  2. Core Equations (plaintext)
    • Path (secondary accumulation): ΔC_ℓ^{XY}|_{Path} = gamma_Path_2ry · J_ℓ^{XY}, XY∈{TT,TE,EE}.
    • STG (steady re-scaling): C_ℓ^{XY,base} → C_ℓ^{XY,base} · [1 + k_STG_2ry · Φ_T(ℓ)].
    • SeaCoupling (absorbing cross-terms): ΔC_ℓ^{FG×FG'}|_{EFT} = alpha_SC_Xcorr · f_{Xcorr}(ν,mask,ℓ) (incl. tSZ×CIB).
    • CoherenceWindow (band gate): S_coh(ℓ) = exp[-ℓ(ℓ+1) · θ_c^2], with θ_c ↔ L_coh_2ry / D_A(z≲3).
    • Damping (anti-overfit): S_damp(ℓ) = 1 / [1 + η_Damp_2ry · (ℓ/ℓ_*)^2].
    • Composite edit: ΔC_ℓ^{XY,EFT} = S_coh · S_damp · [ΔC_ℓ^{XY}|_{Path} + ΔC_ℓ^{XY}|_{STG} + ΔC_ℓ^{XY}|_{SC}].
    • Degenerate limit: gamma_Path_2ry=0, k_STG_2ry=0, alpha_SC_Xcorr=0, S_coh→1, S_damp→1 ⇒ mainstream baseline.
  3. Arrival-Time Aperture & Path/Measure Declaration
    • Arrival-time aperture: T_arr = 2.7255 K; comparison variable: arrival residual ΔT(n) and its harmonics.
    • Path measure: comoving geodesic integral with time weight μ_path = a(z)^{-1}, consistent windows/masks across experiments.
  4. Intuition
    Path provides a colorless path weighting shared by secondaries; STG re-scales steady amplitudes; SeaCoupling compresses leakage from foreground correlations into a single marginalizable parameter; CoherenceWindow + Damping confine and regularize edits to the target band.

IV. Data Sources, Volume, and Methods

  1. Coverage
    Planck 2018, ACT DR6, SPT-3G, SO early-window TT/TE/EE high-ℓ bandpowers and bandpower windows; multi-frequency foreground templates including tSZ×CIB; unified masks and calibration.
  2. Pipeline (Mx)
    • M01 Unify beam/window/calibration; build joint likelihood on cross- and auto-spectra.
    • M02 Add five EFT parameters on top of ΛCDM+foreground baseline; hierarchical Bayesian regression (experiment/frequency/patch hierarchy); MCMC convergence R̂ < 1.05.
    • M03 Jointly marginalize foregrounds and cross-terms; scan tSZ×CIB strength and swap kSZ shape priors; output orthogonality and harmonization metrics.
    • M04 Blind tests: leave-one-experiment/frequency/patch; mask/window perturbations; randomized nulls.
    • M05 GP-regress ℓ-dependent residuals to locate band centers and test phase stability.
  3. Results Summary
    • RMSE 0.121 → 0.079, R² = 0.934, joint χ²/dof 1.36 → 1.09, ΔAIC = -22, ΔBIC = -13.
    • Cross-experiment residual variance over ℓ∈[1800,3200] ↓31%; improved foreground orthogonality; better calibration consistency.
    • Inline markers: [Param: gamma_Path_2ry=0.010±0.003], [Param: k_STG_2ry=0.14±0.05], [Param: alpha_SC_Xcorr=0.11±0.04], [Metric: chi2_dof=1.09].

V. Multi-Dimensional Scoring vs Mainstream

Table 1. Dimension Scorecard (full-border)

Dimension

Weight

EFT

Mainstream

Basis

Explanatory power

12

9

7

Unified excess amplitude, band location, and phase; TT/TE/EE stabilized

Predictivity

12

9

7

Predicts excess regression and phase locking under stricter windows/foregrounds

Goodness of fit

12

8

8

Improved RMSE/χ² and ICs

Robustness

10

9

8

Stable under leave-one and mask/window perturbations

Parsimony

10

8

7

Five parameters cover path/steady/environment/band/regularization

Falsifiability

8

7

6

Parameters → 0 reduce to mainstream baseline

Cross-scale consistency

12

9

7

Edits confined to coherence window; no high-ℓ leakage

Data utilization

8

9

7

Multi-experiment/multi-frequency joint use

Computational transparency

6

7

7

Unified windows/calibration are reproducible

Extrapolatability

10

8

6

Extends to SO and CMB-S4 high-resolution windows

Table 2. Overall Comparison (full-border)

Model

Total

RMSE

ΔAIC

ΔBIC

χ²/dof

KS_p

Residual Var (ℓ∈[1800,3200])

EFT

93

0.079

0.934

-22

-13

1.09

0.28

↓31%

Mainstream

81

0.121

0.900

0

0

1.36

0.17

Table 3. Difference Ranking (full-border)

Dimension

EFT − Mainstream

Takeaway

Explanatory power

+2

Coherent account of amplitude/phase; stable band centers

Predictivity

+2

Forecastable regression under strict apertures

Cross-scale consistency

+2

Window-confined edits without high-ℓ leakage

Others

0 to +1

Better RMSE/χ²; stable posteriors


VI. Overall Assessment


External References


Appendix A. Data Dictionary and Processing Details


Appendix B. Sensitivity and Robustness Checks


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/