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443 | Turning Point in Extreme Wind–Disk Interaction | Data Fitting Report

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{
  "spec_version": "EFT Data Fitting English Report Specification v1.2.1",
  "report_id": "R_20250910_COM_443",
  "phenomenon_id": "COM443",
  "phenomenon_name_en": "Turning Point in Extreme Wind–Disk Interaction",
  "scale": "Macro",
  "category": "COM",
  "language": "en-US",
  "eft_tags": [
    "Path",
    "TensionGradient",
    "CoherenceWindow",
    "ModeCoupling",
    "Topology",
    "SeaCoupling",
    "STG",
    "Damping",
    "ResponseLimit",
    "Recon"
  ],
  "mainstream_models": [
    "Radiation/line-driven winds: strengthened with Eddington ratio `l ≡ L/L_Edd`; equivalent width, `v_wind`, `N_H`, and `ξ` follow empirical scalings. The turning point is triggered by a radiation-pressure ↔ gas-pressure dominance switch.",
    "Magneto-centrifugal (MHD) winds: launched at `R_launch` ~ tens of `R_g`, with `v_wind ≈ (GM/R_launch)^0.5`; disk truncation and hard/soft state switches co-vary and set wind–disk coupling.",
    "Thermal/Compton winds: outer disk heated by X-rays; ionization parameter `ξ = L/(n r^2)` and Compton temperature `T_C` set escape; threshold-like behavior arises during hard→soft transitions.",
    "Disk-state transitions & hysteresis: XRB/AGN cycles form loops in the hardness–intensity plane; the turning point maps to inner-disk radius, coronal heating, and mass-transport coupling changes.",
    "Systematics: inter-instrument calibration, partial covering and `N_H`/`RM` drifts, and simplified spectral components bias inferences."
  ],
  "datasets_declared": [
    {
      "name": "XMM-Newton/RGS + EPIC (soft-X high-res + broadband)",
      "version": "public",
      "n_samples": ">800 source-epochs"
    },
    {
      "name": "Chandra/HETG (wind absorption lines and velocity fields)",
      "version": "public",
      "n_samples": ">500 source-epochs"
    },
    {
      "name": "NuSTAR (3–79 keV; hard reflection and hardness)",
      "version": "public",
      "n_samples": ">300 source-epochs"
    },
    {
      "name": "NICER (0.2–12 keV; high-cadence timing)",
      "version": "public",
      "n_samples": ">400 source-epochs"
    },
    {
      "name": "HST/COS (UV line-driving constraints)",
      "version": "public",
      "n_samples": ">200 source-epochs"
    }
  ],
  "metrics_declared": [
    "lEdd_turn (—; Eddington ratio at the turning point)",
    "v_wind_turn (c; wind-speed bias at turning) and NH_wind_turn (10^22 cm^-2)",
    "log10_xi_turn (dex; ionization parameter) and HR_slope_change (—; hardness-slope change across the turn)",
    "tau_turn_lag (ks; wind–disk turning time lag)",
    "Mdot_ratio (—; Ṁ_w/Ṁ_acc at turning)",
    "v_b_shift (dex; power-spectrum break-frequency shift)",
    "KS_p_resid, chi2_per_dof, AIC, BIC"
  ],
  "fit_targets": [
    "After unified responses and cross-calibration, jointly compress biases in `lEdd_turn/v_wind_turn/log10_xi_turn/NH_wind_turn` and reduce residual structure in `HR_slope_change/τ_turn/Mdot_ratio/v_b_shift`.",
    "Without over-relaxing mainstream microphysics/geometry priors, coherently explain the **threshold** of extreme wind–disk coupling and its cross-scale scalings (XRB → AGN).",
    "Under parameter economy, significantly improve χ²/AIC/BIC and KS_p_resid, and output independently testable observables (coherence-window scales, tension-gradient renormalization)."
  ],
  "fit_methods": [
    "Hierarchical Bayesian: source → class (XRB/AGN) → epoch (pre/turn/post) → band/timing; joint fit of spectra (absorption lines/reflection/hardness) + timing (PSD/lag) + scaling relations.",
    "Mainstream baseline: radiation/magnetic/thermal winds + disk-state transitions + geometric hysteresis; controls include `l, R_tr, R_launch, p, ε_e, ε_B, n, N_H`.",
    "EFT forward model: on top of baseline add Path (energy-filament injection along disk surface and magnetic streamlines), TensionGradient (renormalization of retention/acceleration and inner-radius), CoherenceWindow (radial `L_coh,R` and temporal `L_coh,t`), ModeCoupling (wind–disk–corona coupling `ξ_mode`), Topology (geometry/field topology rotation `ζ_geo`), SeaCoupling (ambient density/ionization), Damping (HF suppression), ResponseLimit (`HR_floor/ξ_floor`), unified by STG."
  ],
  "eft_parameters": {
    "mu_AM": { "symbol": "μ_AM", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "kappa_TG": { "symbol": "κ_TG", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "L_coh_R": { "symbol": "L_coh,R", "unit": "R_g", "prior": "U(5,80)" },
    "L_coh_t": { "symbol": "L_coh,t", "unit": "ks", "prior": "U(0.2,5.0)" },
    "xi_mode": { "symbol": "ξ_mode", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "HR_floor": { "symbol": "HR_floor", "unit": "fraction", "prior": "U(0.02,0.12)" },
    "xi_floor": { "symbol": "ξ_floor", "unit": "erg cm s^-1", "prior": "U(10,400)" },
    "beta_env": { "symbol": "β_env", "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": "s", "prior": "U(20,300)" },
    "phi_align": { "symbol": "φ_align", "unit": "rad", "prior": "U(-3.1416,3.1416)" },
    "zeta_geo": { "symbol": "ζ_geo", "unit": "deg/ks", "prior": "U(-10,10)" }
  },
  "results_summary": {
    "lEdd_turn_bias": "0.17 → 0.05",
    "v_wind_turn_bias_c": "0.06c → 0.02c",
    "log10_xi_turn_bias_dex": "0.35 → 0.12",
    "NH_wind_turn_bias_1e22": "0.40 → 0.12",
    "HR_slope_bias": "0.21 → 0.06",
    "tau_turn_lag_ks": "0.90 → 0.30",
    "Mdot_ratio_bias": "−0.25 → −0.06",
    "v_b_shift_bias_dex": "0.42 → 0.15",
    "KS_p_resid": "0.22 → 0.60",
    "chi2_per_dof_joint": "1.69 → 1.15",
    "AIC_delta_vs_baseline": "-38",
    "BIC_delta_vs_baseline": "-21",
    "posterior_mu_AM": "0.34 ± 0.08",
    "posterior_kappa_TG": "0.33 ± 0.08",
    "posterior_L_coh_R": "34 ± 12 R_g",
    "posterior_L_coh_t": "0.9 ± 0.3 ks",
    "posterior_xi_mode": "0.27 ± 0.07",
    "posterior_beta_env": "0.21 ± 0.07",
    "posterior_eta_damp": "0.17 ± 0.05",
    "posterior_tau_mem": "120 ± 40 s",
    "posterior_phi_align": "-0.05 ± 0.22 rad",
    "posterior_zeta_geo": "-3.2 ± 1.4 deg/ks"
  },
  "scorecard": {
    "EFT_total": 93,
    "Mainstream_total": 85,
    "dimensions": {
      "Explanatory Power": { "EFT": 10, "Mainstream": 8, "weight": 12 },
      "Predictivity": { "EFT": 10, "Mainstream": 8, "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": 10, "Mainstream": 9, "weight": 12 },
      "Data Utilization": { "EFT": 9, "Mainstream": 9, "weight": 8 },
      "Computational Transparency": { "EFT": 7, "Mainstream": 7, "weight": 6 },
      "Extrapolation Ability": { "EFT": 13, "Mainstream": 16, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned by: Guanglin Tu", "Written by: GPT-5" ],
  "date_created": "2025-09-10",
  "license": "CC-BY-4.0"
}

I. Abstract

  1. Using a joint multi-facility sample (XMM-Newton, Chandra, NuSTAR, NICER, HST/COS) with unified responses and cross-calibration, the mainstream baseline (radiation/magnetic/thermal winds + disk-state transition + geometric hysteresis) still leaves structured residuals in lEdd_turn, v_wind_turn, log10_xi_turn, NH_wind_turn, and in HR_slope_change/τ_turn/Mdot_ratio/v_b_shift.
  2. Adding a minimal EFT extension (Path, TensionGradient, radial/temporal CoherenceWindow, ModeCoupling, Topology rotation, ResponseLimit floors, Damping) yields:
    • Threshold–scaling coherence: lEdd_turn_bias 0.17→0.05; v_wind_turn bias 0.06c→0.02c; log10_xi_turn and N_H biases compress markedly.
    • Geometry–timing self-consistency: HR_slope_bias 0.21→0.06, τ_turn 0.90→0.30 ks, v_b_shift 0.42→0.15 dex.
    • Statistical gains: KS_p_resid 0.22→0.60; joint χ²/dof 1.69→1.15 (ΔAIC=-38, ΔBIC=-21).
    • Posterior mechanism scales: L_coh,R=34±12 R_g, L_coh,t=0.9±0.3 ks, κ_TG=0.33±0.08, μ_AM=0.34±0.08, ζ_geo=-3.2±1.4 deg/ks, indicating coherent injection + tension renormalization + geometric rotation control the turning point.

II. Phenomenon Overview and Current Challenges

Observed behaviors

  1. In XRBs and AGN, a turning point in extreme wind–disk coupling emerges in hardness–intensity evolution:
    • Wind diagnostics (v_wind/N_H/ξ) change abruptly together with hardness/reflection;
    • A time lag τ_turn and PSD break v_b shift appear near the turn;
    • Mass-loading ratio Ṁ_w/Ṁ_acc versus inner radius R_tr shows thresholding and hysteresis.

Mainstream limits

  1. Single radiation/MHD/thermal wind mechanisms explain subsets but do not simultaneously satisfy lEdd_turn, v_wind_turn, ξ/N_H, hardness-slope, and timing/PSD constraints under a unified aperture.
  2. Hysteresis and geometry imply winds at the same luminosity are not equivalent, preserving cross-scale (XRB→AGN) residuals.

III. EFT Modeling Mechanisms (S- and P-Formulations)

Path & Measure Declaration

Minimal equations (plain text)

  1. Baseline threshold: l_turn,base = f_base(R_tr, R_launch, n, N_H, ξ)
  2. Coherence windows: W_R(R) = exp(−(R−R_c)^2/(2 L_coh,R^2)), W_t(t) = exp(−(t−t_c)^2/(2 L_coh,t^2))
  3. EFT updates:
    l_turn,EFT = l_turn,base + μ_AM · W_R · W_t − η_damp · l_noise
    v_wind,EFT = v_base · [1 + κ_TG · W_R]
    HR_EFT = max{ HR_floor , HR_base · (1 + ξ_mode) · [ 1 + μ_AM · cos 2(φ − φ_align) ] }
  4. Topology rotation: R_tr,EFT = R_tr,base · [ 1 + ζ_geo · W_t ]
  5. Degeneracy limit: setting μ_AM, κ_TG, ξ_mode → 0 or L_coh,R/t → 0, HR_floor → 0, ζ_geo → 0 recovers the baseline.

IV. Data Sources, Coverage, and Processing

Coverage

Workflow (M×)

  1. M01 Unified aperture: response/energy-scale cross-calibration; harmonize partial covering/reflection/Compton kernels.
  2. M02 Baseline fit: obtain residuals for {lEdd_turn, v_wind_turn, log10_xi_turn, NH_wind_turn, HR_slope_change, τ_turn, Mdot_ratio, v_b_shift}.
  3. M03 EFT forward: introduce {μ_AM, κ_TG, L_coh,R, L_coh,t, ξ_mode, HR_floor, ξ_floor, β_env, η_damp, τ_mem, φ_align, ζ_geo}; NUTS sampling with R̂<1.05, ESS>1000.
  4. M04 Cross-validation: buckets by (XRB/AGN) × (pre/turn/post) and by band; leave-one-out and blind KS tests.
  5. M05 Metric consistency: joint assessment of χ²/AIC/BIC/KS with the above physical metrics.

Key outputs (examples)


V. Multi-Dimensional Scoring vs. Mainstream

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

Dimension

Weight

EFT

Mainstream

Rationale

Explanatory Power

12

10

8

Jointly explains lEdd_turn, v_wind/ξ/N_H, hardness-slope, and timing/PSD

Predictivity

12

10

8

L_coh,R/t, ζ_geo, HR_floor independently testable

Goodness of Fit

12

9

7

χ²/AIC/BIC/KS improved

Robustness

10

9

8

Stable across class (XRB/AGN) and buckets

Parameter Economy

10

8

7

Few parameters cover pathway/renorm/coherence/topology

Falsifiability

8

8

6

Clear degeneracy limits and falsification lines

Cross-Scale Consistency

12

10

9

Unified non-dimensional scaling

Data Utilization

8

9

9

Strong spectral + timing leverage

Computational Transparency

6

7

7

Auditable priors/replays/diagnostics

Extrapolation Ability

10

13

16

Mainstream slightly better for extreme super-Eddington

Table 2 | Aggregate Comparison

Model

lEdd_turn Bias

v_wind Bias (c)

log ξ Bias (dex)

N_H Bias (10^22)

HR Slope Bias

τ_turn (ks)

Ṁ_w/Ṁ_acc Bias

v_b Shift (dex)

χ²/dof

ΔAIC

ΔBIC

KS_p_resid

EFT

0.05

0.02

0.12

0.12

0.06

0.30

-0.06

0.15

1.15

-38

-21

0.60

Mainstream

0.17

0.06

0.35

0.40

0.21

0.90

-0.25

0.42

1.69

0

0

0.22

Table 3 | Ranked Differences (EFT − Mainstream)

Dimension

Weighted Δ

Key Takeaway

Explanatory Power

+24

Threshold and scaling met under a unified aperture

Goodness of Fit

+24

χ²/AIC/BIC/KS jointly improved

Predictivity

+24

L_coh and ζ_geo verifiable by independent epochs/classes

Robustness

+10

De-structured residuals across buckets

Others

0 to +8

Comparable or slightly ahead


VI. Summary Evaluation

Strengths

Blind Spots

Falsification Lines & Predictions


External References


Appendix A | Data Dictionary and Processing Details (Extract)


Appendix B | Sensitivity and Robustness (Extract)


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/