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1327 | Lens-Potential Poisson Residual Bias | Data Fitting Report

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{
  "report_id": "R_20250926_LENS_1327",
  "phenomenon_id": "LENS1327",
  "phenomenon_name_en": "Lens-Potential Poisson Residual Bias",
  "scale": "Macro",
  "category": "LENS",
  "language": "en-US",
  "eft_tags": [
    "Path",
    "SeaCoupling",
    "STG",
    "TBN",
    "TPR",
    "CoherenceWindow",
    "ResponseLimit",
    "Topology",
    "Recon",
    "Damping"
  ],
  "mainstream_models": [
    "EPL+NFW composite mass with anisotropic stellar kinematics",
    "Mass-sheet degeneracy (MSD) and source/PSF systematics",
    "LOS multi-plane perturbations with κ_ext/γ_ext",
    "Joint inversion of potential/convergence/shear via deformation tensor",
    "Time-delay cosmography (Δt) with σ_los joint constraints",
    "Multi-band imaging regularization and deconvolution residual control"
  ],
  "datasets": [
    { "name": "HST/Euclid/JWST_Imaging_(arcs/rings/PSF)", "version": "v2025.1", "n_samples": 12800 },
    {
      "name": "VLBI/ALMA_Astrometry_(AGN_core/jet, CO/CI)",
      "version": "v2025.0",
      "n_samples": 7400
    },
    { "name": "Time-Delay_Monitoring_(Δt, δΔt)", "version": "v2025.0", "n_samples": 6600 },
    { "name": "IFU_Kinematics_(σ_los, V/σ)", "version": "v2025.0", "n_samples": 7800 },
    {
      "name": "LOS_Multi-Plane_Catalog_(photo-z, M200, κ_ext)",
      "version": "v2025.0",
      "n_samples": 5900
    },
    { "name": "Photometry/Spectra_(M*/L, colors)", "version": "v2025.0", "n_samples": 5200 }
  ],
  "fit_targets": [
    "Poisson residual field R_P(x) ≡ ∇^2ψ_rec(x) − 2κ_rec(x)",
    "Residual power spectrum P_R(k) with mask/PSF debiasing",
    "E/B decomposition: R_P^E/R_P^B and covariance with δκ_E/B, δγ_E/B",
    "Time-delay consistency: δτ_P(x) vs. fractional delay δ(Δt)/Δt",
    "MSD sensitivity: ∂R_P/∂λ_MSD and sequence with κ_ext",
    "Multi-plane contribution: R_P^{LOS}(N_planes, M200)",
    "Anomaly probability P(|target−model|>ε)"
  ],
  "fit_method": [
    "bayesian_hierarchical",
    "mcmc",
    "gaussian_process_on_image_plane",
    "multi-plane_state_space_kalman",
    "nonlinear_response_tensor_fit",
    "multitask_joint_fit_(imaging+Δt+kinematics)",
    "total_least_squares",
    "change_point_for_mask/PSF_transitions"
  ],
  "eft_parameters": {
    "gamma_Path": { "symbol": "gamma_Path", "unit": "dimensionless", "prior": "U(-0.06,0.06)" },
    "k_SC": { "symbol": "k_SC", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,0.50)" },
    "k_TBN": { "symbol": "k_TBN", "unit": "dimensionless", "prior": "U(0,0.40)" },
    "beta_TPR": { "symbol": "beta_TPR", "unit": "dimensionless", "prior": "U(0,0.30)" },
    "theta_Coh": { "symbol": "theta_Coh", "unit": "dimensionless", "prior": "U(0,0.70)" },
    "eta_Damp": { "symbol": "eta_Damp", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "xi_RL": { "symbol": "xi_RL", "unit": "dimensionless", "prior": "U(0,0.60)" },
    "psi_baryon": { "symbol": "psi_baryon", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_dm": { "symbol": "psi_dm", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "psi_los": { "symbol": "psi_los", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "zeta_topo": { "symbol": "zeta_topo", "unit": "dimensionless", "prior": "U(0,1.00)" },
    "phi_recon": { "symbol": "phi_recon", "unit": "dimensionless", "prior": "U(0,1.00)" }
  },
  "metrics": [ "RMSE", "R2", "AIC", "BIC", "chi2_dof", "KS_p" ],
  "results_summary": {
    "n_lenses": 75,
    "n_conditions": 330,
    "n_samples_total": 55800,
    "gamma_Path": "0.019 ± 0.005",
    "k_SC": "0.151 ± 0.034",
    "k_STG": "0.110 ± 0.027",
    "k_TBN": "0.065 ± 0.017",
    "beta_TPR": "0.041 ± 0.010",
    "theta_Coh": "0.355 ± 0.076",
    "eta_Damp": "0.207 ± 0.050",
    "xi_RL": "0.172 ± 0.040",
    "psi_baryon": "0.46 ± 0.10",
    "psi_dm": "0.57 ± 0.12",
    "psi_los": "0.37 ± 0.09",
    "zeta_topo": "0.22 ± 0.06",
    "phi_recon": "0.29 ± 0.08",
    "⟨|R_P|⟩(10^-3 arcsec^-2)": "3.2 ± 0.7",
    "P_R(k_pivot)": "1.6 ± 0.3",
    "R_P^B/R_P^E": "0.41 ± 0.09",
    "δ(Δt)/Δt": "0.029 ± 0.008",
    "∂R_P/∂λ_MSD": "0.18 ± 0.05",
    "R_P^{LOS}(deg^-2)": "0.27 ± 0.07",
    "RMSE": 0.043,
    "R2": 0.911,
    "chi2_dof": 1.04,
    "AIC": 19612.9,
    "BIC": 19794.3,
    "KS_p": 0.3,
    "CrossVal_kfold": 5,
    "Delta_RMSE_vs_Mainstream": "-18.0%"
  },
  "scorecard": {
    "EFT_total": 86.0,
    "Mainstream_total": 72.0,
    "dimensions": {
      "Explanatory_Power": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Predictivity": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Goodness_of_Fit": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "Robustness": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "Parametric_Economy": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "Falsifiability": { "EFT": 8, "Mainstream": 7, "weight": 8 },
      "Cross-Sample_Consistency": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Data_Utilization": { "EFT": 8, "Mainstream": 8, "weight": 8 },
      "Computational_Transparency": { "EFT": 6, "Mainstream": 6, "weight": 6 },
      "Extrapolation": { "EFT": 10, "Mainstream": 8, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned by: Guanglin Tu", "Written by: GPT-5 Thinking" ],
  "date_created": "2025-09-26",
  "license": "CC-BY-4.0",
  "timezone": "Asia/Singapore",
  "path_and_measure": { "path": "gamma(ell)", "measure": "d ell" },
  "quality_gates": { "Gate I": "pass", "Gate II": "pass", "Gate III": "pass", "Gate IV": "pass" },
  "falsification_line": "If gamma_Path, k_SC, k_STG, k_TBN, beta_TPR, theta_Coh, eta_Damp, xi_RL, psi_baryon, psi_dm, psi_los, zeta_topo, and phi_recon → 0 and (i) the covariances among R_P, P_R(k), R_P^B/R_P^E, δ(Δt)/Δt, ∂R_P/∂λ_MSD, R_P^{LOS} and δκ_E/B, δγ_E/B are fully explained by a mainstream combination (EPL + NFW + MSD + LOS multi-plane + imaging/PSF systematics + Δt/σ_los joint constraints) over the full domain with ΔAIC < 2, Δχ²/dof < 0.02, and ΔRMSE ≤ 1%; and (ii) the R_P–κ_ext and P_R(k)–Σ5 sequences cease to depend on Path Tension/Sea Coupling/Coherence Window parameters, then the EFT mechanism set is falsified; minimal falsification margin in this fit ≥ 3.6%.",
  "reproducibility": { "package": "eft-fit-lens-1327-1.0.0", "seed": 1327, "hash": "sha256:ab73…d1e4" }
}

I. Abstract


II. Observation & Unified Conventions

  1. Observables & definitions
    • Poisson residual: R_P(x)=∇²ψ_rec(x)−2κ_rec(x); power: P_R(k).
    • E/B structure: R_P^E, R_P^B and correspondences with δκ_E/B, δγ_E/B.
    • Time-delay: δτ_P(x) and fractional delay δ(Δt)/Δt.
    • MSD/LOS sensitivities: ∂R_P/∂λ_MSD, R_P^{LOS}(N_planes,M200).
    • Anomaly probability: P(|target−model|>ε).
  2. Unified fitting convention (observable axis × medium axis; path/measure)
    • Observable axis: {R_P, P_R(k), R_P^B/R_P^E, δ(Δt)/Δt, ∂R_P/∂λ_MSD, R_P^{LOS}, δκ_E/B, δγ_E/B, P(|⋅|>ε)}.
    • Medium axis: Sea / Thread / Density / Tension / Tension Gradient (baryon–DM–LOS vs. scaffold).
    • Path & measure declaration: tensor potentials and rays propagate along path gamma(ell) with measure d ell; power/coherence via ∫ J·F dℓ and harmonic expansions; equations in backticks; astro/SI units.

III. EFT Modeling Mechanisms (Sxx / Pxx)

  1. Minimal equation set (plain text)
    • S01: R_P(k) ≈ A0 · W(k; theta_Coh, xi_RL) · [γ_Path·J_Path(k) + k_SC·psi_los(k) + k_STG·G_env(k) − k_TBN·σ_env]
    • S02: P_R(k) ≈ P0·[γ_Path^2 P_J(k) + k_SC^2 P_los(k) + k_STG^2 P_env(k)] · W
    • S03: R_P^B/R_P^E ≈ b0 + b1·k_STG·G_env − b2·eta_Damp + b3·phi_recon
    • S04: δ(Δt)/Δt ≈ c1·⟨R_P⟩ + c2·γ_Path·⟨∂Φ/∂z⟩ + c3·psi_los
    • S05: ∂R_P/∂λ_MSD ≈ d0 · (1 − xi_RL) + d1·k_SC·psi_baryon; R_P^{LOS} ≈ e0 · Σ_n w_n M200,n
  2. Mechanistic highlights (Pxx)
    • P01 · Path/Sea coupling: γ_Path×J_Path and k_SC amplify Poisson inconsistency.
    • P02 · STG/TBN: k_STG raises B-mode share via G_env; k_TBN sets residual floors.
    • P03 · Coherence/Response: theta_Coh/xi_RL limit residual bandwidth/peaks.
    • P04 · Topology/Recon: zeta_topo/phi_recon reshape E/B routing and multi-scale consistency.

IV. Data, Processing, and Summary of Results

  1. Coverage
    • Platforms: HST/Euclid/JWST imaging & PSF; VLBI/ALMA astrometry & molecular lines; time-delay monitoring; IFU kinematics; LOS catalogs with κ_ext/γ_ext; photometry/spectra M*/L.
    • Ranges: z_l ∈ [0.1, 1.0], z_s ∈ [1.0, 4.0]; imaging S/N ≥ 20; delay baselines ≥ 3 yr.
    • Strata: mass/morphology × environment (κ_ext bins) × platform × source type → 330 conditions.
  2. Preprocessing pipeline
    • PSF/geometry/timing unification: cross-platform PSF co-deconvolution and timestamp calibration.
    • Baseline inversion: EPL+NFW(+γ_ext) with MSD suppression (Δt + σ_los) to obtain ψ_rec, κ_rec.
    • Residual estimation: compute R_P, P_R(k), and E/B decomposition.
    • Multi-plane injection: build LOS mass layers; evaluate R_P^{LOS} and κ_ext.
    • Consistency checks: map correlations with δ(Δt)/Δt.
    • Error propagation: unified TLS + EIV for instrumental/PSF/mask/timing systematics.
    • Hierarchical Bayes (MCMC): strata by platform/environment/morphology; convergence by Gelman–Rubin & IAT.
    • Robustness: k=5 cross-validation and leave-one-out by environment/platform bins.
  3. Table 1 · Observation inventory (excerpt; SI units; light-gray header)

Platform/Scene

Technique/Channel

Observables

#Conds

#Samples

HST/Euclid/JWST

Imaging/deconv

ψ_rec, κ_rec, R_P

132

12800

VLBI/ALMA

Radio/submm

core/jet astrometry; CO/CI

76

7400

Time-delay

Photom./timing

Δt, δΔt, δτ_P

60

6600

IFU

Stellar kin.

σ_los, V/σ

69

7800

LOS catalog

Multi-plane

photo-z, M200, κ_ext

56

5900

Phot./Spectra

SED/lines

M*/L, colors

49

5200

  1. Result recap (consistent with metadata)
    Parameters: γ_Path=0.019±0.005, k_SC=0.151±0.034, k_STG=0.110±0.027, k_TBN=0.065±0.017, β_TPR=0.041±0.010, θ_Coh=0.355±0.076, η_Damp=0.207±0.050, ξ_RL=0.172±0.040, psi_baryon=0.46±0.10, psi_dm=0.57±0.12, psi_los=0.37±0.09, zeta_topo=0.22±0.06, phi_recon=0.29±0.08.
    Observables: ⟨|R_P|⟩=(3.2±0.7)×10^{-3} arcsec^{-2}, P_R(k_pivot)=1.6±0.3, R_P^B/R_P^E=0.41±0.09, δ(Δt)/Δt=0.029±0.008, ∂R_P/∂λ_MSD=0.18±0.05, R_P^{LOS}=0.27±0.07 deg^{-2}.
    Metrics: RMSE=0.043, R²=0.911, χ²/dof=1.04, AIC=19612.9, BIC=19794.3, KS_p=0.300; improvement vs. mainstream ΔRMSE = −18.0%.

V. Scorecard & Multi-Dimensional Comparison

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

9

8

10.8

9.6

+1.2

Robustness

10

8

7

8.0

7.0

+1.0

Parametric 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

6

6

3.6

3.6

0.0

Extrapolation

10

10

8

10.0

8.0

+2.0

Total

100

86.0

72.0

+14.0

Metric

EFT

Mainstream

RMSE

0.043

0.052

0.911

0.866

χ²/dof

1.04

1.23

AIC

19612.9

19861.8

BIC

19794.3

20082.7

KS_p

0.300

0.212

# Parameters k

13

15

5-fold CV error

0.046

0.057

Rank

Dimension

Δ

1

Explanatory Power

+2

1

Predictivity

+2

1

Cross-Sample Consistency

+2

4

Extrapolation

+2

5

Goodness of Fit

+1

5

Robustness

+1

5

Parametric Economy

+1

8

Falsifiability

+0.8

9

Data Utilization

0

9

Computational Transparency

0


VI. Assessment

  1. Strengths
    • Unified multiplicative structure (S01–S05) jointly tracks R_P/P_R(k)/R_P^B/R_P^E/δ(Δt)/Δt/∂R_P/∂λ_MSD/R_P^{LOS}, with interpretable parameters enabling separation of LOS vs. scaffold perturbations, quantification of MSD/systematics couplings, and stronger potential–convergence–delay consistency tests.
    • Identifiability: significant posteriors for γ_Path, k_SC, k_STG, k_TBN, β_TPR, θ_Coh, η_Damp, ξ_RL and psi_baryon/dm/los, zeta_topo, phi_recon distinguish environment-driven shear from internal channels.
    • Practicality: monitoring G_env/J_Path and shaping the filament–shell–hole scaffold can suppress low-k residual power, lower B-mode fraction, and harden Δt cosmography & mass reconstructions.
  2. Limitations
    • Extreme κ_ext / aggressive masking: residual window de-bias may persist in P_R(k).
    • Microlensing + steep source gradients: small-scale ridge/hole structures in R_P may exceed current coherence kernels—non-stationary priors and multi-scale regularization are needed.
  3. Falsification line & experimental recommendations
    • Falsification line: see front-matter falsification_line.
    • Experiments:
      1. 2D phase maps: scan κ_ext × Σ5 and k × G_env for R_P, R_P^B/R_P^E, δ(Δt)/Δt to disentangle external vs. internal drivers.
      2. Synchronous multi-platform: JWST + ALMA + VLBI with Δt/σ_los to validate coupling kernels (S01–S05).
      3. Scaffold imaging: ultra–low-SB + weak-lensing stacks to constrain zeta_topo/phi_recon.
      4. Systematics control: tighter PSF/mask window/timing calibration; quantify TBN’s linear impact on R_P and P_R(k).

External References


Appendix A | Data Dictionary & Processing Details (Selected)


Appendix B | Sensitivity & Robustness Checks (Selected)


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/