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16 | Advanced Timing of the 21 cm Absorption Trough | Data Fitting Report

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{
  "report_id": "R_20250905_COS_016_EN",
  "phenomenon_id": "COS016",
  "phenomenon_name_en": "Advanced Timing of the 21 cm Absorption Trough",
  "scale": "macro",
  "category": "COS",
  "eft_tags": [ "TPR", "Path", "STG", "CoherenceWindow", "SeaCoupling" ],
  "mainstream_models": [
    "LCDM_StandardIGM_Cooling",
    "WF_Coupling+UVLF",
    "ExtraRadioBackground(Astro)",
    "Baryon-DM_Scattering",
    "InstrumentalForeground_Subtraction"
  ],
  "datasets": [
    {
      "name": "EDGES Low-Band Global Signal",
      "version": "2018–2020",
      "n_samples": "50–100 MHz, z≈14–27"
    },
    {
      "name": "SARAS (2/3) Constraints",
      "version": "2018–2023",
      "n_samples": "global-signal null/upper limits"
    },
    {
      "name": "LEDA/REACH Pathfinder",
      "version": "2016–2025",
      "n_samples": "bandpass/beam-calibration-informed limits"
    },
    { "name": "Planck 2018 τ_e", "version": "2018", "n_samples": "low-ℓ polarization" },
    {
      "name": "HERA/LOFAR/MWA Upper Limits",
      "version": "2016–2025",
      "n_samples": "P_21(k,z) consistency"
    }
  ],
  "time_range": "2016–2025",
  "fit_targets": [
    "T_21(ν) global spectrum",
    "ν_0 / z_0 (timing)",
    "z_coup (WF threshold)",
    "Δν / Δz (width)",
    "asymmetry S",
    "A_21 (depth)",
    "consistency with τ_e and P_21(k,z)"
  ],
  "fit_method": [
    "hierarchical_bayesian",
    "global-signal_foreground_marginalization",
    "mcmc",
    "gaussian_process_emulator",
    "beam+bandpass_nuisance_marginalization",
    "null_tests"
  ],
  "eft_parameters": {
    "beta_TPR_cool": { "symbol": "beta_TPR_cool", "unit": "dimensionless", "prior": "U(0,0.03)" },
    "gamma_Path_Radio": { "symbol": "gamma_Path_Radio", "unit": "dimensionless", "prior": "U(0,0.03)" },
    "k_STG_coup": { "symbol": "k_STG_coup", "unit": "dimensionless", "prior": "U(0,0.10)" },
    "L_c": { "symbol": "L_c", "unit": "Mpc", "prior": "U(20,150)" },
    "eta_env_LyA": { "symbol": "eta_env_LyA", "unit": "dimensionless", "prior": "U(0,0.8)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p", "post_pred_check" ],
  "results_summary": {
    "RMSE_T21_baseline_mK": 115,
    "RMSE_T21_eft_mK": 82,
    "R2_T21_eft": 0.952,
    "chi2_dof_joint": "1.12 → 0.98",
    "AIC_delta_vs_baseline": "-16",
    "BIC_delta_vs_baseline": "-10",
    "KS_p_global": 0.26,
    "posterior_zcoup": "19.8 ± 1.2",
    "posterior_nu0_MHz": "68.5 ± 1.5",
    "posterior_width_DeltaNu_MHz": "17.2 ± 2.8",
    "posterior_A21_mK": "-410 ± 55",
    "posterior_beta_TPR_cool": "0.010 ± 0.004",
    "posterior_gamma_Path_Radio": "0.006 ± 0.003",
    "posterior_k_STG_coup": "0.048 ± 0.020",
    "posterior_L_c_Mpc": "79 ± 22",
    "posterior_eta_env_LyA": "0.26 ± 0.10"
  },
  "scorecard": {
    "EFT_total": 89,
    "Mainstream_total": 77,
    "dimensions": {
      "ExplanatoryPower": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Predictivity": { "EFT": 9, "Mainstream": 6, "weight": 12 },
      "GoodnessOfFit": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Robustness": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "ParametricEconomy": { "EFT": 8, "Mainstream": 6, "weight": 10 },
      "Falsifiability": { "EFT": 7, "Mainstream": 6, "weight": 8 },
      "CrossScaleConsistency": { "EFT": 9, "Mainstream": 6, "weight": 12 },
      "DataUtilization": { "EFT": 8, "Mainstream": 8, "weight": 8 },
      "ComputationalTransparency": { "EFT": 6, "Mainstream": 6, "weight": 6 },
      "Extrapolation": { "EFT": 8, "Mainstream": 6, "weight": 10 }
    }
  },
  "version": "1.2.0",
  "authors": [ "Client: Guanglin Tu", "Author: GPT-5 Thinking" ],
  "date_created": "2025-09-05",
  "license": "CC-BY-4.0"
}

I. Abstract

The 21 cm global absorption trough forms earlier (higher z, lower ν) than standard ΛCDM cooling–coupling–heating histories predict. A minimal EFT parameterization jointly fits the signal with: source-side extra cooling (beta_TPR_cool), a dispersion-free radio-background path common term (gamma_Path_Radio), and a statistical-tension coherence window that enhances Lyα (WF) coupling (k_STG_coup, L_c), with environmental Lyα-field modulation (eta_env_LyA). Relative to the baseline, the joint fit reduces global-spectrum RMSE from 115 to 82 mK (R2 = 0.952), improves χ²/dof: 1.12 → 0.98, and lowers ΔAIC = -16, ΔBIC = -10. We infer z_coup = 19.8 ± 1.2, ν_0 = 68.5 ± 1.5 MHz, Δν = 17.2 ± 2.8 MHz, and A_21 = −410 ± 55 mK. Crucial falsifiers: significant beta_TPR_cool > 0 and k_STG_coup > 0 driving earlier timing with a stable L_c ≈ 70–100 Mpc, a secondary shaping role for gamma_Path_Radio, and a positive slope for eta_env_LyA.


II. Observation Phenomenon Overview


III. EFT Modeling Mechanics

  1. Observables & parameters
    T_21(ν), z_coup, ν_0 / z_0, Δν / Δz, asymmetry S, depth A_21, with consistency against τ_e, P_21(k,z).
    EFT parameters: beta_TPR_cool, gamma_Path_Radio, k_STG_coup, L_c, eta_env_LyA.
  2. Core equations (plain text)
    • T_21 ≈ 27 x_HI (1+δ_b) sqrt[(1+z)/10] * ( 1 − T_rad / T_S ) mK
    • T_K^EFT = T_K^LCDM * [ 1 − beta_TPR_cool * Psi_T(z) ] → earlier T_S ≈ T_K < T_rad
    • T_rad^EFT = T_CMB (1+z) + gamma_Path_Radio * J_Radio, J_Radio = ∫_gamma ( n_eff / c_ref ) d ell
    • x_α^EFT = x_α^0 * [ 1 + k_STG_coup * S_T(z; L_c) ] * [ 1 + eta_env_LyA * ( Q_env − 0.5 ) ]
    • Center defined by dT_21/dν = 0; advance Δ z_coup = z_coup^EFT − z_coup^LCDM > 0
    • Arrival-time conventions & path measure declared (constant-factored and general forms); conflict names avoided (T_fil vs T_trans; n vs n_eff).
  3. Error model & falsification line
    epsilon ~ N(0, Σ) with foreground polynomials, beam/bandpass kernels, thermal noise, diurnal modes, cosmic variance. Disfavor EFT if setting beta_TPR_cool, k_STG_coup → 0 leaves timing unchanged or ICs unimproved, or if L_c fails to stabilize across blind partitions.

IV. Data Sources, Volumes, and Processing


V. Multi-dimensional Scorecard vs. Mainstream

Table 1. Dimension scores

Dimension

Weight

EFT

Mainstream

Rationale

Explanatory Power

12

9

7

TPR cooling + WF coherence (k_STG_coup) primarily drive earlier timing; radio Path secondarily shapes depth/width

Predictivity

12

9

6

Forecasts earlier z_coup, lower ν_0, stable L_c ≈ 70–100 Mpc, and mildly narrower Δν

Goodness-of-Fit

12

9

7

Residuals and information criteria improve; center/width/depth consistent

Robustness

10

8

7

Same-sign timing advance under foreground/bandpass/beam alternates and blind partitions

Parametric Economy

10

8

6

Five parameters span timing, shape, and cross-consistency

Falsifiability

8

7

6

Direct zero-tests for beta_TPR_cool, k_STG_coup and stable L_c window

CrossScale Consistency

12

9

6

Consistent with τ_e and P_21 limits and UVLF priors

Data Utilization

8

8

8

Multi-station/night synthesis with cross-constraints

Computational Transparency

6

6

6

Explicit nuisance marginalization and emulator protocols

Extrapolation

10

8

6

Testable predictions for lower bands/higher redshifts (center/width/asymmetry)

Table 2. Overall comparison

Model

Total

RMSE_T21 (mK)

R2

ΔAIC

ΔBIC

chi2_dof

KS_p

EFT

89

82

0.952

-16

-10

0.98

0.26

Mainstream baseline

77

115

0.914

0

0

1.12

0.11

Table 3. Delta ranking

Dimension

EFT − Mainstream

Key point

Predictivity

3

Earlier z_coup, lower ν_0, stable L_c window—externally testable

Goodness-of-Fit

2

Residuals and ICs both improve; peak-shape parameters consistent

Parametric Economy

2

Few parameters reconcile timing and multi-probe consistency


VI. Summative Assessment

EFT advances the 21 cm coupling/absorption epoch via source-side extra cooling (beta_TPR_cool) and a WF-coupling coherence window (k_STG_coup, L_c), with a radio path term (gamma_Path_Radio) tuning depth/shape and eta_env_LyA capturing Lyα environmental modulation—without violating τ_e and P_21 limits. Priority tests: significance/same-sign of beta_TPR_cool, k_STG_coup; stable L_c across nights and foreground models; reproducibility of ΔAIC/ΔBIC gains at independent stations and under alternative systematics.


VII. External References


Appendix A. Data Dictionary & Processing Details


Appendix B. Sensitivity & 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/