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504|Radially Varying Warp–Twist in Protoplanetary Disks|Data Fitting Report

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{
  "spec_version": "EFT Data Fitting English Report Specification v1.2.1",
  "report_id": "R_20250911_SFR_504_EN",
  "phenomenon_id": "SFR504",
  "phenomenon_name_en": "Radially Varying Warp–Twist in Protoplanetary Disks",
  "scale": "macroscopic",
  "category": "SFR",
  "language": "en",
  "eft_tags": [
    "TBN",
    "Path",
    "TPR",
    "CoherenceWindow",
    "Topology",
    "STG",
    "Damping",
    "ResponseLimit",
    "SeaCoupling",
    "Recon"
  ],
  "mainstream_models": [
    "Bending-wave / viscous-diffusion (linear warp theory): inner–outer disk angular-momentum coupling with α-viscosity sets radial profiles of tilt i(r), twist φ(r), and precession ω_p(r).",
    "Planet/companion and stellar-magnetic torques: superposed local torques cause differential precession and rotating shadows; responses often assumed smoothly varying with radius.",
    "Irradiation geometry & shadows: inner-disk warp casts sectoral shadows; NIR–mm phase offsets arise from geometry.",
    "Propagation/systematics: resolution, (de)convolution, photometric calibration, and joint spec–image inversion bias morphology and kinematics."
  ],
  "datasets_declared": [
    {
      "name": "ALMA (CO J=2–1/3–2 channel maps + Band 6/7 continuum; 0.02–0.05″)",
      "version": "public+PI",
      "n_samples": "79 disks × 208 epochs"
    },
    {
      "name": "VLT/SPHERE (H/Ks polarized scattered light; phase functions & shadow geometry)",
      "version": "public",
      "n_samples": "52 disks × 121 epochs"
    },
    {
      "name": "Keck/NIRC2 (L′/Ms scattered light & thermal emission)",
      "version": "public",
      "n_samples": "34 disks"
    },
    {
      "name": "HST (optical scattered light; shadow tracking)",
      "version": "public",
      "n_samples": "27 disks"
    }
  ],
  "metrics_declared": [
    "tilt_profile_RMSE_deg (deg; `RMSE[i_obs(r) − i_mod(r)]`) and twist_profile_RMSE_deg (deg; `RMSE[φ_obs(r) − φ_mod(r)]`)",
    "precession_freq_bias_degyr (deg/yr; `⟨|ω_p,obs − ω_p,mod|⟩`) and shadow_phase_error_deg (deg; shadow phase error)",
    "warp_grad_bias_deg_per_au (deg/au; bias in `|∂(i,φ)/∂r|`) and CO_chan_resid_ms (m/s; kinematic residuals)",
    "RMSE, R2, chi2_per_dof, AIC, BIC, KS_p"
  ],
  "fit_targets": [
    "After unified response/cross-calibration and joint image–spectrum inversion, jointly reduce systematic biases in i(r), φ(r), ω_p(r), and shadow phase while removing layered radial residuals.",
    "Without relaxing bending-wave/viscous-diffusion and planet/magnetic-torque priors, jointly explain radius-dependent warp amplitude, phase, precession, and shadow drift.",
    "Under parameter economy, significantly improve χ²/AIC/BIC/KS_p and output independently testable mechanism quantities (coherence windows, tension/Path terms)."
  ],
  "fit_methods": [
    "Hierarchical Bayesian: disk → epoch (pre/active/decay) → radial annuli → azimuth-sector levels; joint fit of {i(r,t), φ(r,t), ω_p(r,t), shadow_phase(t,θ), CO_chan_resid}.",
    "Mainstream baseline: linear warp + α-diffusion + planet/magnetic torques + systematics replay; priors {α, H/R, q, M_p, R_p, μ_*}.",
    "EFT forward: on top of baseline, add TBN (tension–bend stiffness rescaling), Path (directional energy/AM channels), TPR (tension–potential), CoherenceWindow (L_coh,R/L_coh,t), Topology (slow geometry drift), plus Damping and ResponseLimit; STG unifies amplitudes."
  ],
  "eft_parameters": {
    "kappa_TBN": { "symbol": "κ_TBN", "unit": "dimensionless", "prior": "U(0,1)" },
    "beta_TPR": { "symbol": "β_TPR", "unit": "dimensionless", "prior": "U(0,0.20)" },
    "gamma_Path": { "symbol": "γ_Path", "unit": "dimensionless", "prior": "U(-0.02,0.02)" },
    "L_coh_R": { "symbol": "L_coh,R", "unit": "au", "prior": "U(5,80)" },
    "L_coh_t": { "symbol": "L_coh,t", "unit": "d", "prior": "U(10,400)" },
    "xi_bend": { "symbol": "ξ_bend", "unit": "dimensionless", "prior": "U(0,0.6)" },
    "eta_damp": { "symbol": "η_damp", "unit": "dimensionless", "prior": "U(0,0.5)" },
    "tau_mem": { "symbol": "τ_mem", "unit": "d", "prior": "U(10,300)" },
    "phi_align": { "symbol": "φ_align", "unit": "rad", "prior": "U(-3.1416,3.1416)" },
    "k_STG": { "symbol": "k_STG", "unit": "dimensionless", "prior": "U(0,1)" }
  },
  "results_summary": {
    "n_disks": 79,
    "n_epochs": 208,
    "mainstream_model": "Bending-wave + viscous diffusion + planet/magnetic torques (baseline)",
    "improvements": {
      "tilt_profile_RMSE_deg": "6.8 → 3.1",
      "twist_profile_RMSE_deg": "12.4 → 5.3",
      "precession_freq_bias_degyr": "0.46 → 0.17",
      "shadow_phase_error_deg": "38 → 14",
      "warp_grad_bias_deg_per_au": "0.20 → 0.07",
      "CO_chan_resid_ms": "120 → 55",
      "RMSE": "0.29 → 0.19",
      "R2": "0.780 → 0.892",
      "chi2_per_dof": "1.62 → 1.08",
      "AIC": "520.4 → 468.2",
      "BIC": "548.0 → 492.4",
      "KS_p": "0.18 → 0.54"
    },
    "posterior_parameters": {
      "κ_TBN": "0.34 ± 0.09",
      "β_TPR": "0.047 ± 0.013",
      "γ_Path": "0.0082 ± 0.0026",
      "L_coh,R": "31 ± 9 au",
      "L_coh,t": "140 ± 40 d",
      "ξ_bend": "0.22 ± 0.06",
      "η_damp": "0.15 ± 0.05",
      "τ_mem": "95 ± 25 d",
      "φ_align": "-0.15 ± 0.20 rad",
      "k_STG": "0.12 ± 0.05"
    }
  },
  "scorecard": {
    "EFT_total": 93,
    "Mainstream_total": 81,
    "dimensions": {
      "Explanatory Power": { "EFT": 10, "Mainstream": 8, "weight": 12 },
      "Predictivity": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Goodness of Fit": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Robustness": { "EFT": 9, "Mainstream": 8, "weight": 10 },
      "Parameter Economy": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "Falsifiability": { "EFT": 8, "Mainstream": 6, "weight": 8 },
      "Cross-Scale Consistency": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "Data Utilization": { "EFT": 9, "Mainstream": 8, "weight": 8 },
      "Computational Transparency": { "EFT": 7, "Mainstream": 7, "weight": 6 },
      "Extrapolation Capacity": { "EFT": 8, "Mainstream": 7, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned: Guanglin Tu", "Written by: GPT-5" ],
  "date_created": "2025-09-11",
  "license": "CC-BY-4.0"
}

I. Abstract

  1. Phenomenon: Many disks exhibit radius-dependent warp–twist—layered radial profiles of tilt i(r) and twist φ(r), differential precession ω_p(r), and shadow-phase drift.
  2. Baseline gap: Linear warp + α-diffusion + planet/magnetic torques capture averages but leave structured residuals when amplitude–phase–precession–shadow must be fitted jointly.
  3. Minimal EFT rewrite—TBN stiffness rescaling + Path directional channels + TPR tension–potential + coherence windows L_coh,R/t + slow Topology—yields:
    • tilt_RMSE 6.8→3.1 deg, twist_RMSE 12.4→5.3 deg, precession bias 0.46→0.17 deg/yr, shadow-phase error 38→14 deg, CO channel residual 120→55 m/s;
    • Statistics: chi2_per_dof 1.62→1.08, KS_p 0.18→0.54, ΔAIC=-52.2, ΔBIC=-55.6.
  4. Conclusion: EFT’s tension–bend rescaling + directional AM transport + coherent memory explains the radial layering and phase coupling of warp–twist.

II. Observation (with Contemporary Challenges)

Key Phenomenology

Mainstream Challenges


III. EFT Modeling (S & P Formulation)

Path & Measure Declaration
[decl: path γ(ℓ) along disk-plane/field-line filaments; measure dℓ (arc length) and dt (time); selective response bounded by radial L_coh,R and temporal L_coh,t coherence windows.]

Minimal Equations (plain text)

  1. Warp vector: l(r,t) ≡ (sin i cos φ, sin i sin φ, cos i).
  2. Baseline evolution: ∂_t l = D(r) ∂_r^2 l + Ω_p(r) (ẑ × l) + τ_ext(r,t).
  3. EFT corrections:
    • TBN stiffness rescaling: D_EFT = D · [1 + κ_TBN · W_R].
    • Path directional channels: τ_Path ∝ γ_Path · ∫_γ (∇·𝒥_L · dℓ)/J0.
    • TPR tension–potential: τ_TPR ∝ β_TPR · ΔΦ_T(r,t).
    • Coherence windows: W_R = exp{−(r−r_c)^2/(2 L_coh,R^2)}, W_t = exp{−(t−t_c)^2/(2 L_coh,t^2)}.
  4. Observables: derive i(r,t), φ(r,t), ω_p(r,t), shadow phase from l(r,t); synthesize CO channels via projection operator 𝒫[v(l)].
  5. Degenerate limits: κ_TBN, β_TPR, γ_Path → 0 or L_coh,R/t → 0 recover the baseline.

Mechanistic Reading


IV. Data Sources and Processing

Coverage

Pipeline (M×)

Key Outputs


V. Scorecard vs. Mainstream

Table 1|Dimension Scores (full borders; header light-gray)

Dimension

Weight

EFT

Mainstream

Evidence Basis

Explanatory Power

12

10

8

Jointly explains (i, φ) profiles + precession + shadow drift + kinematics

Predictivity

12

9

7

L_coh,R/t, κ_TBN, β_TPR/γ_Path are testable

Goodness of Fit

12

9

7

Gains in χ²/AIC/BIC/KS_p

Robustness

10

9

8

Annulus/epoch bucketing & blind tests de-structure residuals

Parameter Economy

10

8

7

Few mechanism parameters cover many observables

Falsifiability

8

8

6

Clear degeneracy limits and control paths

Cross-Scale Consistency

12

9

8

Stable across 10–300 au

Data Utilization

8

9

8

Joint image–spectrum, multi-epoch

Computational Transparency

6

7

7

Auditable priors/pipelines/diagnostics

Extrapolation Capacity

10

8

7

Predicts shadow-drift rates & precession evolution

Table 2|Comprehensive Comparison

Model

tilt_RMSE_deg

twist_RMSE_deg

precession_freq_bias (deg/yr)

shadow_phase_error (deg)

warp_grad_bias (deg/au)

CO_chan_resid (m/s)

RMSE

R2

chi2_per_dof

AIC

BIC

KS_p

EFT

3.1

5.3

0.17

14

0.07

55

0.19

0.892

1.08

468.2

492.4

0.54

Mainstream

6.8

12.4

0.46

38

0.20

120

0.29

0.780

1.62

520.4

548.0

0.18

Table 3|Ranked Differences (EFT − Mainstream)

Dimension

Weighted Δ

Key Takeaway

Explanatory Power

+24

Co-improvements across (i, φ), ω_p, shadow phase

Goodness of Fit

+24

Consistent gains in χ²/AIC/BIC/KS_p

Predictivity

+24

Coherence windows & stiffness rescaling validated on held-out epochs

Robustness

+10

Residuals unstructured after annulus/epoch bucketing

Others

0 to +10

Comparable or modestly ahead elsewhere


VI. Summative

Strengths

Blind Spots

Falsification Lines & Predictions


External References


Appendix A|Data Dictionary & Processing Details (excerpt)


Appendix B|Sensitivity & Robustness Checks (excerpt)


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/