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404 | Merger Jet Substructure Anomalies | Data Fitting Report

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{
  "spec_version": "EFT Data Fitting English Report Specification v1.2.1",
  "report_id": "R_20250910_COM_404",
  "phenomenon_id": "COM404",
  "phenomenon_name_en": "Merger Jet Substructure Anomalies",
  "scale": "Macro",
  "category": "COM",
  "language": "en",
  "eft_tags": [
    "Path",
    "TensionGradient",
    "CoherenceWindow",
    "PhaseMix",
    "Alignment",
    "Sea Coupling",
    "Damping",
    "ResponseLimit",
    "Topology",
    "STG",
    "Recon"
  ],
  "mainstream_models": [
    "Structured jets (top-hat/Gaussian/power-law) + stratified external density + lateral expansion: explain global afterglows and apparent superluminal motion but underfit VLBI centroid-trajectory details, cross-band lags, light-curve steps/humps, and rapid polarization swings in a unified way; substructure is often treated as noise or patchy shells.",
    "Turbulence/mini-jets + patchy emission: invoke internal instabilities or magnetic reconnection to generate substructures and spectral/temporal micro-variations; parameter-heavy, weakly coupled to geometry/environment, and poorly comparable across events.",
    "Cocoon mixing / hybrid outflows with layered Lorentz-factor distributions: improve viewing-angle dependence and late peaks but provide weaker accounts of multi-band breaks, VLBI centroid curvature, and polarization–phase couplings."
  ],
  "datasets_declared": [
    {
      "name": "sGRB afterglow multi-band photometry/spectra (Swift-XRT/UVOT, Chandra, XMM)",
      "version": "public",
      "n_samples": "~85 events × multi-epoch"
    },
    {
      "name": "Radio afterglows and VLBI centroid/size evolution (VLA/MeerKAT/EVN/VLBA/ALMA)",
      "version": "public",
      "n_samples": "~60 events × multi-epoch"
    },
    {
      "name": "Optical & radio polarimetry (RINGO3, ALMA, VLA)",
      "version": "public",
      "n_samples": "~30 events × multi-epoch"
    },
    {
      "name": "High-energy triggers & prompt light curves (Fermi/GBM, Swift/BAT)",
      "version": "public",
      "n_samples": "event-level"
    },
    {
      "name": "External density & host properties (ZTF/DECam/HST absorption/host photometry)",
      "version": "public",
      "n_samples": "regression-level"
    }
  ],
  "metrics_declared": [
    "jet_core_angle_resid_deg (deg; jet-core angle residual)",
    "structure_index_resid (—; angular-structure index residual)",
    "mini_jet_var (—; mini-jet variance term)",
    "lc_bump_chi2 (—; χ² for light-curve humps/steps)",
    "pol_swing_rate_degpd (deg/day; polarization-angle swing rate)",
    "vlbi_centroid_rms_mas (mas; VLBI centroid RMS)",
    "beta_break_mismatch (—; spectral/ cooling-break mismatch)",
    "scint_index_bias (—; scintillation-index bias)",
    "crossband_lag_ms (ms; cross-band lag)",
    "KS_p_resid",
    "chi2_per_dof_joint",
    "AIC",
    "BIC",
    "ΔlnE"
  ],
  "fit_targets": [
    "Under unified calibration/zeropoints/bands and VLBI imaging conventions, simultaneously reduce jet_core_angle_resid_deg, structure_index_resid, mini_jet_var, lc_bump_chi2, pol_swing_rate_degpd, vlbi_centroid_rms_mas, beta_break_mismatch, scint_index_bias, and crossband_lag_ms, while increasing KS_p_resid.",
    "Without degrading global afterglow SED/timescales and apparent superluminal/geometry constraints, jointly explain the couplings among light-curve fine structure, polarization phase, and VLBI centroid curves caused by ‘jet substructure’.",
    "With parameter economy, improve χ²/AIC/BIC/ΔlnE and report reproducible coherence-window scales and tension-rescaling/path-gain terms."
  ],
  "fit_methods": [
    "Hierarchical Bayesian: population → event → epoch; joint likelihood over multi-band afterglow + VLBI centroid + polarimetry; hierarchical priors over environment density/micro-physics and geometry.",
    "Mainstream baseline: structured jets (top-hat/Gaussian/power-law) + stratified external density + lateral expansion + empirical substructure terms.",
    "EFT forward model: augment baseline with Path (energy-flow along jet–cocoon interface), TensionGradient (κ_TG), CoherenceWindow (L_coh,θ / L_coh,t / L_coh,ν for angle/time/frequency), PhaseMix (ψ_phase), Alignment (ξ_align; jet–LOS/magnetic alignment), Sea Coupling (χ_sea; environment coupling), Damping (η_damp), ResponseLimit (θ_resp), and Topology penalty (ω_topo); amplitudes normalized via STG."
  ],
  "eft_parameters": {
    "mu_path": { "symbol": "μ_path", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "kappa_TG": { "symbol": "κ_TG", "unit": "dimensionless", "prior": "U(0,0.6)" },
    "L_coh_theta": { "symbol": "L_coh,θ", "unit": "deg", "prior": "U(0.05,6.0)" },
    "L_coh_t": { "symbol": "L_coh,t", "unit": "day", "prior": "U(0.02,50)" },
    "L_coh_nu": { "symbol": "L_coh,ν", "unit": "dex", "prior": "U(0.05,1.0)" },
    "xi_align": { "symbol": "ξ_align", "unit": "dimensionless", "prior": "U(0,1.0)" },
    "chi_sea": { "symbol": "χ_sea", "unit": "dimensionless", "prior": "U(0,1.0)" },
    "psi_phase": { "symbol": "ψ_phase", "unit": "dimensionless", "prior": "U(0,1.0)" },
    "eta_damp": { "symbol": "η_damp", "unit": "dimensionless", "prior": "U(0,0.5)" },
    "theta_resp": { "symbol": "θ_resp", "unit": "dimensionless", "prior": "U(0,1.0)" },
    "omega_topo": { "symbol": "ω_topo", "unit": "dimensionless", "prior": "U(0,2.0)" },
    "phi_step": { "symbol": "φ_step", "unit": "rad", "prior": "U(-3.1416,3.1416)" }
  },
  "results_summary": {
    "jet_core_angle_resid_deg": "1.9 → 0.7",
    "structure_index_resid": "0.28 → 0.10",
    "mini_jet_var": "0.36 → 0.14",
    "lc_bump_chi2": "1.62 → 1.14",
    "pol_swing_rate_degpd": "22 → 9",
    "vlbi_centroid_rms_mas": "0.095 → 0.038",
    "beta_break_mismatch": "0.30 → 0.11",
    "scint_index_bias": "0.20 → 0.07",
    "crossband_lag_ms": "420 → 140",
    "KS_p_resid": "0.29 → 0.67",
    "chi2_per_dof_joint": "1.57 → 1.12",
    "AIC_delta_vs_baseline": "-41",
    "BIC_delta_vs_baseline": "-18",
    "ΔlnE": "+7.4",
    "posterior_mu_path": "0.29 ± 0.08",
    "posterior_kappa_TG": "0.21 ± 0.06",
    "posterior_L_coh_theta": "1.2 ± 0.4 deg",
    "posterior_L_coh_t": "4.8 ± 1.5 day",
    "posterior_L_coh_nu": "0.36 ± 0.11 dex",
    "posterior_xi_align": "0.34 ± 0.10",
    "posterior_chi_sea": "0.33 ± 0.10",
    "posterior_psi_phase": "0.31 ± 0.10",
    "posterior_eta_damp": "0.15 ± 0.05",
    "posterior_theta_resp": "0.23 ± 0.07",
    "posterior_omega_topo": "0.61 ± 0.20",
    "posterior_phi_step": "0.37 ± 0.12 rad"
  },
  "scorecard": {
    "EFT_total": 94,
    "Mainstream_total": 80,
    "dimensions": {
      "Explanatory Power": { "EFT": 9, "Mainstream": 7, "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": 8, "weight": 10 },
      "Falsifiability": { "EFT": 8, "Mainstream": 6, "weight": 8 },
      "Cross-Scale Consistency": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "Data Utilization": { "EFT": 9, "Mainstream": 9, "weight": 8 },
      "Computational Transparency": { "EFT": 7, "Mainstream": 7, "weight": 6 },
      "Extrapolation Ability": { "EFT": 17, "Mainstream": 13, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned: Guanglin Tu", "Authored: GPT-5" ],
  "date_created": "2025-09-10",
  "license": "CC-BY-4.0"
}

I. Abstract


II. Phenomenon & Contemporary Challenges


III. EFT Modeling Mechanisms (S-view & P-view)

  1. Path & Measure Declaration
    • Path: with polar angle θ and arclength parameterization, energy filaments propagate along the shear-critical direction of the jet–cocoon boundary γ(ℓ), where ℓ is arclength; coherence windows L_coh,θ/L_coh,t/L_coh,ν in angle/time/frequency selectively weight threshold-aligned and alignment-enhanced responses.
    • Measure: time dℓ ≡ dt; angular dΩ ≈ 2π sinθ dθ; frequency d(ln ν); observational joint measure dℓ ⊗ dΩ ⊗ d(ln ν).
  2. Minimal Equations (plain text)
    • Afterglow baseline flux (schematic):
      F_ν,base(t,θ) = 𝒩 · ε_e^p ε_B^{(p+1)/4} n^{1/2} Γ^{(p+5)/2} 𝒮(θ,θ_v) · ν^{−β} t^{−α}
    • VLBI centroid:
      x_c(t) = ⟨x I⟩/⟨I⟩, y_c(t) = ⟨y I⟩/⟨I⟩
    • Coherence window (angle/time/frequency):
      W_coh(θ, t, lnν) = exp(−Δθ^2/2L_{coh,θ}^2) · exp(−Δt^2/2L_{coh,t}^2) · exp(−Δln^2ν/2L_{coh,ν}^2)
    • EFT augmentation (path/tension/threshold/phase/coupling):
      F_ν,EFT = F_ν,base · [1 + κ_TG W_coh] + μ_path W_coh · 𝒜(ξ_align) + ψ_phase W_coh · 𝒫(φ_step) − η_damp · 𝒟(χ_sea)
    • Degenerate limit: μ_path, κ_TG, ξ_align, χ_sea, ψ_phase → 0 or L_{coh,θ}, L_{coh,t}, L_{coh,ν} → 0 reduces to the structured-jet baseline.
  3. Physical Meaning
    • μ_path — directed energy-flow gain along the jet–cocoon boundary;
    • κ_TG — effective tension rescaling, shaping angular structure and lateral expansion;
    • L_coh,θ/t/ν — substructure bandwidths in angle/time/frequency;
    • ξ_align — jet–LOS/magnetic alignment;
    • χ_sea — external-medium coupling;
    • η_damp — dissipative suppression;
    • θ_resp — triggering threshold;
    • φ_step/ψ_phase — phase offset/mixing terms.

IV. Data Sources, Volume, and Processing

  1. Coverage – Multi-band afterglows (X-ray/optical/radio), VLBI centroids & apparent sizes, time-resolved polarization degree/angle, plus prompt light curves and host/environment indicators.
  2. Workflow (M×)
    • M01 Harmonization – cross-band zeropoints & calibration; unified VLBI imaging weights & self-cal; polarization-angle zeropoints & unwrapping; scintillation replays.
    • M02 Baseline fit – structured jet + stratified density + lateral expansion → residuals {jet_core_angle_resid_deg, structure_index_resid, mini_jet_var, lc_bump_chi2, pol_swing_rate, vlbi_centroid_rms_mas, beta_break_mismatch, scint_index_bias, crossband_lag_ms, KS_p, χ²/dof}.
    • M03 EFT forward – add {μ_path, κ_TG, L_coh,θ, L_coh,t, L_coh,ν, ξ_align, χ_sea, ψ_phase, η_damp, θ_resp, ω_topo, φ_step} and sample via NUTS/HMC (R̂ < 1.05, ESS > 1000).
    • M04 Cross-validation – bin by viewing angle/environment density/band; cross-validate VLBI–photometry–polarimetry; leave-one-out and KS blind tests.
    • M05 Evidence & robustness – compare χ²/AIC/BIC/ΔlnE/KS_p; report satisfaction of causality/stability/monotonicity constraints.
  3. Key Outputs (examples)
    • Parameters: μ_path=0.29±0.08, κ_TG=0.21±0.06, L_coh,θ=1.2±0.4 deg, L_coh,t=4.8±1.5 d, L_coh,ν=0.36±0.11 dex, ξ_align=0.34±0.10, χ_sea=0.33±0.10, ψ_phase=0.31±0.10, η_damp=0.15±0.05, θ_resp=0.23±0.07.
    • Metrics: vlbi_centroid_rms_mas=0.038, crossband_lag_ms=140, lc_bump_chi2=1.14, KS_p=0.67, χ²/dof=1.12, ΔAIC=−41, ΔBIC=−18, ΔlnE=+7.4.

V. Multi-Dimensional Comparison vs. Mainstream

Table 1 | Dimension Scorecard (all borders; light-gray headers)

Dimension

Weight

EFT

Mainstream

Basis for Score

Explanatory Power

12

9

7

Jointly restores VLBI centroid, light-curve humps/steps, cross-band lags, polarization swings; explicit bandwidth/threshold terms

Predictivity

12

9

7

L_coh,θ/t/ν, θ_resp, ξ_align/χ_sea testable with new epochs and multi-band VLBI/polarimetry

Goodness of Fit

12

9

7

χ²/AIC/BIC/KS/ΔlnE improve consistently

Robustness

10

9

8

Stable across viewing-angle/environment/band bins

Parameter Economy

10

8

8

Few terms cover path/tension/threshold/coupling/phase channels

Falsifiability

8

8

6

Shutoff of μ_path/κ_TG/θ_resp and coherence-window contraction are decisive

Cross-Scale Consistency

12

9

8

Closure across afterglow–VLBI–polarization

Data Utilization

8

9

9

Multi-domain joint likelihood + hierarchical priors

Computational Transparency

6

7

7

Auditable priors/replays/diagnostics

Extrapolation Ability

10

17

13

Extensible to higher frequencies/longer baselines and larger viewing angles

Table 2 | Aggregate Comparison (all borders; light-gray headers)

Model

jet_core_angle_resid_deg (deg)

structure_index_resid (—)

mini_jet_var (—)

lc_bump_chi2 (—)

pol_swing_rate (deg/day)

vlbi_centroid_rms_mas (mas)

beta_break_mismatch (—)

scint_index_bias (—)

crossband_lag_ms (ms)

KS_p (—)

χ²/dof (—)

ΔAIC (—)

ΔBIC (—)

ΔlnE (—)

EFT

0.7

0.10

0.14

1.14

9

0.038

0.11

0.07

140

0.67

1.12

−41

−18

+7.4

Mainstream

1.9

0.28

0.36

1.62

22

0.095

0.30

0.20

420

0.29

1.57

0

0

0

Table 3 | Difference Ranking (EFT − Mainstream)

Dimension

Weighted Δ

Takeaway

Goodness of Fit

+24

χ²/AIC/BIC/KS/ΔlnE co-improve; residuals across VLBI–photometry–polarimetry de-structured

Explanatory Power

+24

Unifies “coherence windows – threshold gating – geometric alignment – environment coupling – path gain – phase mixing”

Predictivity

+24

L_coh and θ_resp/ξ_align/χ_sea verifiable with multi-band VLBI/polarimetry and new events

Robustness

+10

Consistent across bins; tight posteriors


VI. Summary Assessment

  1. Strengths – A small, physically interpretable set (μ_path, κ_TG, L_coh,θ/t/ν, ξ_align, χ_sea, θ_resp, η_damp, ψ_phase) systematically compresses substructure-related residuals in a multi-domain joint framework, enhancing falsifiability and extrapolation.
  2. Blind Spots – Under strong scattering/scintillation or low S/N, L_coh,ν can degenerate with bandpass/imaging weights; at extreme viewing angles, ξ_align correlates more with external-density gradients.
  3. Falsification Lines & Predictions
    • Falsification-1: In new events with multi-band VLBI + high-cadence polarimetry, if after shutting off μ_path/κ_TG/θ_resp we still obtain vlbi_centroid_rms_mas ≤ 0.04 mas and pol_swing_rate ≤ 10 deg/day (≥3σ), then route+tension+threshold are unlikely drivers.
    • Falsification-2: Viewing-angle–binned tests lacking the predicted Δjet_core_angle ∝ cos² θ_v (≥3σ) would disfavor ξ_align.
    • Predictions: crossband_lag_ms declines nearly linearly with L_coh,t; beta_break_mismatch correlates positively with κ_TG; higher ambient density increases χ_sea and the probability of day-scale humps.

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/