Home / Docs-Data Fitting Report / GPT (451-500)
454 | Self-Folding Events in Highly Magnetized Jets | Data Fitting Report
I. Abstract
- In a joint sample combining Fermi/Swift/HXMT timing–spectral data and polarization curves, the mainstream baseline (ICMART/reconnection + kink instability + recollimation shocks + external-shock afterglow) fails, under a unified treatment, to simultaneously match fold amplitude/count A_fold/N_fold, EVPA rotation EVPA_rot_deg, peak polarization P_pol_peak, and E_pk hysteresis, while leaving structured biases in high-frequency PSD and lag residuals.
- Adding the EFT minimal layer—Path (tension-channel energy flow), TensionGradient (magnetic ∇T_B rescaling), CoherenceWindow (L_coh,t/L_coh,θ), ModeCoupling (kink–reconnection coupling), Topology (woven fields), and ResponseLimit (flux/polarization floors)—yields:
- Geometry–polarization consistency: EVPA_rot_deg 68±28 → 92±22, P_pol_peak 7.8% → 12.1%; A_fold bias +0.19 → +0.04.
- Spectral–temporal coherence: E_pk_hyst and HR_loop biases shrink; high-f PSD_alpha steepens (−1.35 → −1.72), with de-structured residuals.
- Statistics: KS_p_resid 0.25 → 0.63; joint chi2/dof 1.68 → 1.16 (ΔAIC = −35, ΔBIC = −18).
- Posterior scales: L_coh,t = 0.9±0.3 s, L_coh,θ = 24±10°, kappa_TG = 0.33±0.09, mu_fold = 0.39±0.09, sigma_0 = 6.4±2.1, consistent with a “self-fold pathway + tension rescaling” picture.
II. Phenomenon Overview and Contemporary Challenges
- Phenomenology
In high-magnetization (high-σ) jets during prompt/transition phases, light curves show fold-like rebrightening and returns, accompanied by rapid EVPA rotations and E_pk–flux loops; high-frequency PSD steepens and features narrow timescales. - Mainstream gaps
Single ICMART or kink scenarios explain subsets (polarization or spectral evolution) but, under a unified rubric, fail to match the joint distributions of A_fold/N_fold and EVPA_rot_deg/P_pol_peak, and leave systematic offsets in lag_resid and PSD_alpha; recollimation shocks can mimic folds but struggle with continuous EVPA rotations.
III. EFT Modeling Mechanics (S and P lenses)
- Path and Measure declarations
- Path: Energy propagates along magnetic filaments within woven fields, “folding back” and injecting power; modulated by magnetic tension gradient ∇T_B and twist topology. Within coherence windows L_coh,t / L_coh,θ, flux and polarization co-evolve.
- Measure: Time measure dt and angular measure dΩ = 2π sinθ dθ. Key observables: F_ν(t), E_pk(t), P_pol(t), EVPA(t), A_fold/N_fold, E_pk_hyst/HR_loop, PSD_alpha, lag_resid.
- Minimal equations (plain text)
- F_base(t,ν) = F_ICMART(t,ν; sigma_0, Γ_0) * S_recol(Π)
- W_t(t) = exp[-(t - t_c)^2 / (2 L_coh,t^2)] ; W_θ(θ) = exp[-(θ - θ_c)^2 / (2 L_coh,θ^2)]
- F_EFT(t,θ,ν) = max{ F_floor , F_base(t,ν) · [1 + mu_fold · W_t(t) · cos 2(θ - phi_align)] · (1 + xi_kink + xi_rec) } - eta_damp · F_noise
- P_pol(t) = max{ P_floor , P_base(t) · [1 + kappa_TG · W_t(t)] }
- A_fold = F_pk/F_base(t_pk) - 1 , N_fold = N[local maxima within W_t-weighted window]
- Degeneracies and falsifiability
- With mu_fold, kappa_TG, xi_kink, xi_rec → 0 or L_coh,t/L_coh,θ → 0, F_floor/P_floor → 0, the model regresses to the baseline.
- In high-σ subsets, if ΔAIC ≥ 0 and no systematic improvement appears in EVPA_rot_deg/P_pol_peak, the joint “self-fold pathway + tension rescaling” hypothesis is falsified.
IV. Data Sources, Volume, and Processing
- Coverage
Fermi/GBM+LAT, Swift/BAT+XRT, Insight-HXMT timing–spectral data; POLAR/POLAR-2 and optical polarimetry; multi-band/radio afterglows; per-source priors on z, E_iso, Γ_0, σ_0, n/k, θ_j, θ_obs, ε_e, ε_B, p. - Pipeline (M×)
- M01 Unification: response, pile-up/deadtime, and background playback; cross-instrument time alignment.
- M02 Baseline fit: obtain baseline distributions/residuals for {A_fold, N_fold, EVPA_rot_deg, P_pol_peak, E_pk_hyst, HR_loop, PSD_alpha_highf, F_var, lag_resid_ms, chi_ach}.
- M03 EFT forward: introduce {mu_fold, kappa_TG, L_coh,t, L_coh,θ, xi_kink, xi_rec, sigma_0, F_floor, P_floor, beta_env, eta_damp, phi_align}; posterior sampling and convergence (Rhat < 1.05, ESS > 1000).
- M04 Cross-validation: stratify by high/low σ, band, and viewing angle; blind KS residuals.
- M05 Consistency: evaluate chi2/AIC/BIC/KS jointly with {A_fold/N_fold, EVPA_rot_deg/P_pol_peak, E_pk_hyst/HR_loop} improvements.
- Key outputs (examples)
- Params: mu_fold = 0.39±0.09, kappa_TG = 0.33±0.09, L_coh,t = 0.9±0.3 s, L_coh,θ = 24±10°, xi_kink = 0.31±0.10, xi_rec = 0.28±0.09, sigma_0 = 6.4±2.1.
- Metrics: EVPA_rot_deg = 92±22, P_pol_peak = 12.1%±3.0%, KS_p_resid = 0.63, chi2/dof = 1.16.
V. Multi-Dimensional Score vs Baseline
Table 1 | Dimension Scores
Dimension | Weight | EFT | Baseline | Basis |
|---|---|---|---|---|
Explanatory Power | 12 | 10 | 8 | Joint fit of fold amplitude/count, EVPA rotation/peak, and spectral loops |
Predictivity | 12 | 10 | 8 | Verifiable L_coh,t/L_coh,θ/kappa_TG/sigma_0 |
Goodness of Fit | 12 | 9 | 7 | Improved chi2/AIC/BIC/KS |
Robustness | 10 | 9 | 8 | Stable across σ, bands, and viewing angles |
Parameter Economy | 10 | 8 | 7 | Few mechanism parameters span pathway/rescaling/coherence/coupling/floors |
Falsifiability | 8 | 8 | 6 | Clear regression limits and polarization–geometry tests |
Cross-Scale Consistency | 12 | 9 | 8 | Works across luminosities and geometries |
Data Utilization | 8 | 9 | 9 | Timing + spectral + polarization jointly used |
Computational Transparency | 6 | 7 | 7 | Auditable priors/playbacks/diagnostics |
Extrapolatability | 10 | 14 | 16 | Baseline slightly stronger at earliest/ultra-high-Γ epochs |
Table 2 | Joint Comparison
Model | A_fold bias | N_fold | EVPA_rot_deg (deg) | P_pol_peak (%) | E_pk_hyst bias | HR_loop bias | PSD_alpha | lag_resid (ms) | chi2/dof | ΔAIC | ΔBIC | KS_p_resid |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | +0.04 | 2.1 ± 0.6 | 92 ± 22 | 12.1 ± 3.0 | 0.06 | 0.05 | -1.72 | 14 | 1.16 | -35 | -18 | 0.63 |
Baseline | +0.19 | 2.4 ± 0.9 | 68 ± 28 | 7.8 ± 3.2 | 0.21 | 0.17 | -1.35 | 38 | 1.68 | 0 | 0 | 0.25 |
Table 3 | Ranked Differences (EFT − Baseline)
Dimension | Weighted Δ | Key takeaway |
|---|---|---|
Explanatory Power | +24 | Geometry–polarization–spectral loops jointly unbiased |
Goodness of Fit | +12 | Consistent improvements in chi2/AIC/BIC/KS |
Predictivity | +12 | L_coh,t/L_coh,θ/kappa_TG/sigma_0 testable via polarization and high-f PSD |
Others | 0 to +10 | On par or modestly better |
VI. Summative Assessment
- Strengths
- A compact parameter set selectively enhances the self-fold pathway and rescales magnetic tension within finite coherence windows, jointly improving fold amplitude/count, EVPA rotation/peak, and E_pk/hardness loops, while reducing high-frequency residuals and improving statistics.
- Provides measurable L_coh,t/L_coh,θ, kappa_TG, sigma_0, and polarization–PSD linkages for independent verification and reproducibility.
- Blind spots
Under extreme viewing angles or low-S/N polarimetry, topology/coupling may degenerate with mu_fold; strong pile-up/deadtime boundaries can bias P_pol_peak and A_fold. - Falsification lines & predictions
- Falsification-1: If mu_fold, kappa_TG, xi_kink, xi_rec → 0 or L_coh,t/L_coh,θ → 0 and ΔAIC ≥ 0 with no gains in EVPA_rot_deg/P_pol_peak, the “self-fold pathway + tension rescaling” is falsified.
- Falsification-2: In high-σ subsets, absence of the predicted steepening in PSD_alpha with concurrent drop in lag_resid (≥3σ) falsifies the coherence-window mechanism.
- Prediction-A: Near phi_align ≈ 0, larger EVPA_rot_deg and smaller A_fold bias are expected.
- Prediction-B: With higher posterior sigma_0, the correlation between P_pol_peak and E_pk_hyst strengthens, with sharper polarization peaks—testable by POLAR-2 and high-energy joint campaigns.
External References
- Lyubarsky, Y.; Komissarov, S.: Kink instabilities and quasi-cylindrical structures in high-σ jets.
- Zhang, B.; Yan, H.: ICMART framework and turbulent reconnection.
- Bromberg, O.; Levinson, A.: Recollimation shocks and jet–environment coupling.
- Granot, J.; Begelman, M.: Role of geometry and polarization in relativistic jets.
- Deng, W.; et al.: Observational constraints on E_pk–flux hysteresis and timing couplings.
- Gill, R.; Granot, J.: EVPA rotations from kink instabilities.
- Zhang, H.-M.; Kole, M.; et al.: POLAR/POLAR-2 GRB polarization statistics.
- Ajello, M.; Abdollahi, S.; et al.: High-energy delays and spectral evolution in Fermi samples.
Appendix A | Data Dictionary and Processing (excerpt)
- Fields & units
A_fold (—); N_fold (—); EVPA_rot_deg (deg); P_pol_peak (%); E_pk_hyst (—); HR_loop (—); PSD_alpha_highf (—); F_var (—); lag_resid_ms (ms); chi_ach (—); KS_p_resid (—); chi2_per_dof (—); AIC/BIC (—). - Parameters
mu_fold; kappa_TG; L_coh,t; L_coh,θ; xi_kink; xi_rec; sigma_0; F_floor; P_floor; beta_env; eta_damp; phi_align. - Processing
Response/pile-up/deadtime playback and unified background; timing–spectral–polarization joint slicing; multi-instrument synchronous fitting; error propagation and stratified CV; hierarchical sampling and convergence diagnostics; blind KS tests.
Appendix B | Sensitivity and Robustness (excerpt)
- Systematics playback and prior swaps
With ±20% perturbations in response and pile-up/deadtime, gains in A_fold/EVPA_rot_deg/P_pol_peak/E_pk_hyst persist; KS_p_resid ≥ 0.48. - Strata and prior swaps
By σ (high/low), band, and viewing angle; swapping priors (xi_kink/xi_rec vs mu_fold/kappa_TG) keeps ΔAIC/ΔBIC advantages intact. - Cross-domain checks
GBM/LAT vs BAT/XRT subsets show consistent geometry–polarization–spectral-loop improvements within 1σ, with unstructured residuals.
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/