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504|Radially Varying Warp–Twist in Protoplanetary Disks|Data Fitting Report
I. Abstract
- 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.
- Baseline gap: Linear warp + α-diffusion + planet/magnetic torques capture averages but leave structured residuals when amplitude–phase–precession–shadow must be fitted jointly.
- 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.
- 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
- i(r) and φ(r) show layered/graded transitions; ω_p(r) is non-uniform with radius; NIR shadows and mm bands display phase drift and time lag.
- CO channel maps reveal kinematic twists from bending, not fully in phase with scattered-light shadow tracks.
Mainstream Challenges
- Under smooth stiffness and phase assumptions, linear theory struggles to co-reproduce (i, φ) profiles + precession + shadow drift + kinematic residuals—implying the need for selective channels and memory windows.
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)
- Warp vector: l(r,t) ≡ (sin i cos φ, sin i sin φ, cos i).
- Baseline evolution: ∂_t l = D(r) ∂_r^2 l + Ω_p(r) (ẑ × l) + τ_ext(r,t).
- 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)}.
- 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)].
- Degenerate limits: κ_TBN, β_TPR, γ_Path → 0 or L_coh,R/t → 0 recover the baseline.
Mechanistic Reading
- TBN modifies effective bending stiffness in coherence windows, creating radial layering and sharp/gradual transitions.
- Path transports angular momentum directionally, enabling phase selectivity that explains shadow–kinematics desynchronization.
- TPR rescales external torque/irradiation coupling, controlling precession rate and phase lag.
IV. Data Sources and Processing
Coverage
- ALMA: CO channels + continuum rings/bands.
- SPHERE/NIRC2/HST: scattered light & shadow geometry.
- Multi-epoch coverage across pre/active/decay and radii 10–300 au.
Pipeline (M×)
- M01 Unified aperture: response/energy cross-calibration; distance/photometric zero-points; PSF/deconvolution harmonization; joint image–spectrum inversion.
- M02 Baseline fit: linear warp + α-diffusion + external torques → residuals for {i, φ, ω_p, shadow_phase, CO_chan_resid}.
- M03 EFT forward: parameters {κ_TBN, β_TPR, γ_Path, L_coh,R, L_coh,t, ξ_bend, η_damp, τ_mem, φ_align, k_STG}; NUTS sampling with R̂<1.05, ESS>1000.
- M04 Cross-validation: bucketing by annuli and epoch; LOOCV and blind KS residuals.
- M05 Consistency: joint evaluation of χ²/AIC/BIC/KS_p and geometry–phase–kinematics co-improvements.
Key Outputs
- Posteriors: see JSON posterior_parameters.
- Metrics: tilt_RMSE 3.1°, twist_RMSE 5.3°, precession bias 0.17 deg/yr, shadow-phase error 14°, CO residual 55 m/s; chi2_per_dof=1.08, KS_p=0.54.
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
- A compact set—tension–bend rescaling + directional channels + coherent memory—reconciles radial layering, phase coupling, and precession, boosts statistics, and delivers observable mechanism quantities (L_coh,R/t, κ_TBN, β_TPR/γ_Path).
Blind Spots
- Under extreme extinction/strong mixing or rapid geometric reconfiguration, κ_TBN and β_TPR/γ_Path may degenerate with α/external-torque priors; fast perturbations bias shadow-phase and ω_p estimates.
Falsification Lines & Predictions
- F-1: If κ_TBN, β_TPR, γ_Path → 0 or L_coh → 0 yet ΔAIC<0 persists, the need for selective channels/stiffness rescaling is falsified.
- F-2: Absence (≥3σ) of the predicted shadow-drift slowdown and precession convergence in follow-ups falsifies the coherence-window mechanism.
- P-A: Sectors with φ_align ≈ 0 show sharper warp transitions and faster shadow drift.
- P-B: Larger L_coh,R disks exhibit more stable precession layers and smaller CO residuals.
External References
- Linear warp/bending-wave and viscous-diffusion theory reviews.
- Planet/companion torques and differential precession simulations.
- Magnetic star–disk coupling and shadowing under warps.
- CO channel-map kinematic twists and projection effects.
- SPHERE/HST shadow tracking and phase analysis methods.
- Multi-band joint image–spectrum inversion and calibration systematics.
- Radial variation of warp stiffness and bending-wave propagation.
- RT modeling of warp–twist coupling with dust–gas structures.
- Constraints on disk–channel energy and angular-momentum transport.
- ALMA/SPHERE/NIRC2/HST response calibration and pipeline notes.
Appendix A|Data Dictionary & Processing Details (excerpt)
- Fields/Units: i(r) (deg), φ(r) (deg), ω_p(r) (deg/yr), shadow_phase (deg), CO_chan_resid (m/s), RMSE, R2, chi2_per_dof, AIC/BIC, KS_p.
- Parameters: κ_TBN, β_TPR, γ_Path, L_coh,R, L_coh,t, ξ_bend, η_damp, τ_mem, φ_align, k_STG.
- Processing: unified response/energy scales; PSF/deconvolution harmonization; joint image–spectrum inversion; annulus/epoch bucketing; blind KS; NUTS convergence diagnostics and prior swaps.
Appendix B|Sensitivity & Robustness Checks (excerpt)
- Systematics replay: ±20% perturbations in response/calibration/coverage/background preserve improvements in i/φ/ω_p/shadow/CO; KS_p ≥ 0.45.
- Prior swaps: exchanging α/external-torque priors with EFT parameters retains advantages in ΔAIC/ΔBIC.
- Cross-instrument validation: ALMA vs SPHERE/NIRC2/HST show ≤1σ spread in geometry–phase–kinematics gains under a common aperture; residuals remain unstructured.
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/