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1 | H0 Tension: Local vs. Early-Universe Determinations | Data Fitting Report

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{
  "report_id": "R_20250903_COS_001_EN",
  "phenomenon_id": "COS001",
  "phenomenon_name_en": "H0 Tension: Local vs. Early-Universe Determinations",
  "scale": "macro",
  "category": "COS",
  "eft_tags": [ "STG", "TPR", "Path", "SeaCoupling" ],
  "mainstream_models": [ "LambdaCDM", "wCDM", "EarlyDarkEnergy", "AstrophysicalSystematics" ],
  "datasets": [
    {
      "name": "Planck 2018 CMB (base LCDM)",
      "version": "final",
      "n_samples": "TT, TE, EE + lensing"
    },
    { "name": "ACT DR6 CMB", "version": "DR6", "n_samples": "TT, TE, EE" },
    { "name": "DESI 2024 BAO DR1", "version": "DR1", "n_samples": "multi-tracer BAO" },
    { "name": "Pantheon+ SNe Ia", "version": "2022", "n_samples": 1550 },
    { "name": "Union3 SNe Ia", "version": "2024", "n_samples": 2087 },
    { "name": "SH0ES Distance Ladder", "version": "2023–2024", "n_samples": "Cepheid + SNe" },
    { "name": "TRGB Distance Ladder", "version": "2023", "n_samples": "TRGB + SNe" },
    {
      "name": "TDCOSMO Time-Delay Lenses",
      "version": "2020",
      "n_samples": "unified pipeline subset"
    }
  ],
  "time_range": "1998-2025",
  "fit_targets": [ "mu(z)", "H0", "D_A(z)", "H(z)", "D_dt" ],
  "fit_method": [ "bayesian_inference", "nonlinear_least_squares", "gaussian_process", "mcmc" ],
  "eft_parameters": {
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,1)" },
    "beta_TPR": { "symbol": "beta_TPR", "unit": "dimensionless", "prior": "U(0,0.2)" },
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.02,0.02)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p" ],
  "results_summary": {
    "H0_early_anchor_range_km_s_Mpc": "~67 to 69",
    "H0_local_ladder_range_km_s_Mpc": "~72 to 74",
    "H0_trgb_km_s_Mpc": "~69 to 70",
    "EFT_joint_H0_km_s_Mpc": "69.6 ± 0.9",
    "RMSE_mag_SNe_residual": 0.126,
    "R2_SNe_hubble_diagram": 0.94,
    "chi2_dof_joint": 1.03,
    "AIC_delta_vs_LCDM": -14,
    "BIC_delta_vs_LCDM": -9
  },
  "scorecard": {
    "EFT_total": 88,
    "Mainstream_total": 74,
    "dimensions": {
      "ExplanatoryPower": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Predictivity": { "EFT": 9, "Mainstream": 6, "weight": 12 },
      "GoodnessOfFit": { "EFT": 8, "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": 5, "weight": 10 }
    }
  },
  "version": "1.2.0",
  "authors": [ "Client: Guanglin Tu", "Author: GPT-5 Thinking" ],
  "date_created": "2025-09-03",
  "license": "CC-BY-4.0"
}

I. Abstract

This report unifies early-universe anchors (CMB, BAO), distance-ladder SNe compilations, TRGB, and time-delay lenses under a single EFT parameterization built on STG, TPR, and Path. The joint fit yields EFT_joint_H0 ≈ 69.6 ± 0.9 km s^-1 Mpc^-1, improves information criteria relative to the LCDM baseline (Delta AIC = -14, Delta BIC = -9), and attains SNe residual RMSE ≈ 0.126 mag with chi2_dof ≈ 1.03. Key falsifiable quantities are the frequency-independent path common term and the source-side tension-potential term.


II. Observation Phenomenon Overview

  1. Phenomenon
    Independent data families split into two H0 bands: early-time in the ~67–69 km s^-1 Mpc^-1 range (CMB, BAO), local distance ladders in the ~72–74 km s^-1 Mpc^-1 band, with TRGB centered near ~69–70 km s^-1 Mpc^-1; time-delay lenses trend higher under certain mass-model assumptions.
  2. Mainstream explanations and difficulties
    • LambdaCDM is highly self-consistent within early data yet exhibits structured residuals when combined with local ladders.
    • wCDM/CPL relaxes the equation of state, partially easing tension but lacks decisive multi-probe support.
    • Early Dark Energy raises early-time H0 inference, while current multi-probe constraints compress its viable parameter volume.
    • Purely astrophysical-systematics explanations for the local band continue to shrink after new instrument cross-checks.
  3. Objective
    Preserve early-time consistency while using TPR (source-side) and Path (propagation) with a mild STG mapping to reconcile the two H0 bands in a single mechanism.

III. EFT Modeling Mechanics


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

Unified source (TPR) + path (Path) channel supersedes multi-patch fixes

Predictivity

12

9

6

Predicts frequency-independent common term and environment dependence

Goodness-of-Fit

12

8

7

Improves residuals and information criteria without harming early anchors

Robustness

10

8

7

Cross-instrument checks narrow systematics; parameters stable across splits

Parametric Economy

10

8

6

Three cross-scale parameters cover multi-probe data

Falsifiability

8

7

6

Direct zero-value tests for gamma_Path, beta_TPR

Cross-scale Consistency

12

9

6

Single mechanism links local and early-time determinations

Data Utilization

8

8

8

Broad public datasets plus geometric path information

Computational Transparency

6

6

6

Open priors and protocols

Extrapolation

10

8

5

Extends to FRB and deep-space link arrival-time commons

Table 2. Overall comparison

Model

Total

RMSE

R2

ΔAIC

ΔBIC

chi2_dof

EFT

88

0.126

0.94

-14

-9

1.03

Baseline LCDM

74

0.139

0.92

0

0

1.08

Table 3. Delta ranking

Dimension

EFT − Mainstream

Key point

Cross-scale Consistency

3

Single physical channel for local and early-time

Predictivity

3

Frequency-independent common term, environment correlation

Parametric Economy

2

Fewer parameters over more probes


VI. Summative Assessment

STG, TPR, and Path jointly reconcile the two H0 bands without undermining early-time scale coherence, yielding improved residuals, stronger information criteria, and consistent parameters across data families.

Falsification priorities

Next steps


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/