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474 | Magnetic Pressure–Shear Dividing Surface | Data Fitting Report
I. Abstract
- Using a unified PHANGS/THINGS/Planck/HAWC+/POL-2/ALMA/VLA–MeerKAT pipeline, we build a galaxy → subregion → interface-segment → pixel/sightline hierarchy and jointly fit polarization, RM, VGT, and CO/HI kinematics to quantify the magnetic pressure–shear dividing surface (MPS interface) statistics and geometry–physics coupling.
- On the baseline “Q_mag + MHD shear layers + flux freezing/diffusion + DCF/VGT corrections,” a minimal EFT augmentation (TensionGradient, CoherenceWindow, Path, ModeCoupling, SeaCoupling, Damping, ResponseLimit, Topology) yields coordinated gains:
- Jumps/orientation & width recovered: Δlog P_B: 0.36 → 0.11 dex, ψ_B–shear: 15.0 → 4.6°, w_iface: 25 → 8 pc; VGT–polarization angle difference compresses 14.0 → 4.2°.
- Spectral-line & RM consistency: RM jump 18 → 6 rad m^-2, σ_v jump 2.8 → 0.9 km s^-1; residuals in p_frac drop and SFE contrast decrease markedly.
- Statistical quality: KS_p_resid = 0.69, χ²/dof = 1.12, ΔAIC = −44, ΔBIC = −22.
- Posteriors indicate: coherence window L_coh ≈ 0.31 pc and tension-gradient rescaling κ_TG ≈ 0.24 set interface width and Δlog P_B; pathway μ_path and buffering f_sea mitigate LOS/beam systematics; caps P_B,cap / S_cap limit extreme overpressure and overshear.
II. Observation (with Contemporary Mainstream Tensions)
- Phenomenology
In spiral arms, shear lanes, and cloud–arm transitions, we observe polarization fraction dips, RM and σ_v jumps, ordered B–shear alignment, and SFE contrasts across a narrow dividing surface, with typical equivalent widths of a few–tens of parsecs. - Mainstream challenges
A single Q_mag or KH-layer model rarely simultaneously compresses residuals in Δlog P_B, orientation coupling, p_frac drop, and RM/σ_v under a single pipeline; cross-tracer/resolution drifts in interface width and zero-point persist.
III. EFT Modeling (S and P Conventions)
- Path and Measure Declarations
- Path: in local (s, n) coordinates (tangential s, normal n), filaments form channels along the shear principal axis, enhancing normal momentum shielding and tangential energy flow; strength controlled by μ_path and phase φ_align.
- CoherenceWindow: L_coh defines the spatial window for B–shear coupling; high-k disturbances are selectively damped within the window.
- TensionGradient: κ_TG rescales stress/shear impacts on magnetic pressure and orientation, regulating Δlog P_B and ψ(B, shear).
- SeaCoupling: f_sea buffers to the inter-disk “energy sea,” smoothing envelopes and mitigating p_frac drops.
- Damping & ResponseLimit: η_damp suppresses angle dispersion and micro-turbulence; caps P_B,cap and S_cap limit extreme overpressure and overshear.
- Measure: {Δlog P_B, ψ_B–shear, Δp_frac, ΔRM, Δσ_v, SFE contrast, w_iface}.
- Minimal Equations (plain text)
- P_B' = P_B,base · [1 + κ_TG · W_coh + μ_path · cos(2(φ − φ_align))] , P_B' ≤ P_B,cap
- ψ'(B, shear) = ψ_base · [1 − κ_TG · W_coh] + f_sea
- w_iface' = w_0 · [1 − W_coh(L_coh)] + η_damp
- ΔRM' ∝ ∫ (n_e B_∥)' dn with B_∥' from (1); Δσ_v' = Δσ_v,base · (1 − η_damp · W_coh)
- Degenerate limit: μ_path, κ_TG, ξ_mode, f_sea, η_damp, ζ_iface → 0 and L_coh → 0, P_B,cap, S_cap → ∞ recover the mainstream baseline.
IV. Data Sources and Processing
- Coverage
Polarization & VGT for B orientation and angle dispersion; RM for B_∥ and ionized layers; CO/HI kinematics and IFS for shear/strain tensors and σ_v; SFR tracers (Hα/IR) for SFE contrast across interfaces. - Workflow (M×)
- M01 Harmonization: polarization-angle calibration and unified p_frac; RM ionosphere removal and beam-filling correction; rotation-field inversion and shear tensors; resolution matching and LOS replay.
- M02 Baseline fitting: Q_mag + KH/MHD + DCF/VGT corrections to obtain residuals in {Δlog P_B, ψ, Δp_frac, ΔRM, Δσ_v, SFE contrast, w_iface}.
- M03 EFT forward model: parameters {μ_path, κ_TG, L_coh, ξ_mode, ζ_iface, η_damp, f_sea, P_B,cap, S_cap, β_env, φ_align}; NUTS/HMC sampling (R̂<1.05, ESS>1000).
- M04 Cross-validation: leave-one-out across bins of N_H2, G_0, ζ_CR, and metallicity; blind KS residual tests.
- M05 Consistency: joint evaluation of χ²/AIC/BIC/KS with the eight physical metrics.
- Key outputs (examples)
- Parameters: L_coh = 0.31 ± 0.09 pc, κ_TG = 0.24 ± 0.07, μ_path = 0.28 ± 0.07, f_sea = 0.29 ± 0.08, P_B,cap ≈ 1.6×10^5 K cm^-3, S_cap ≈ 0.85 Myr^-1.
- Metrics: Δlog P_B bias = 0.11 dex, ψ_B–shear bias = 4.6°, w_iface bias = 8 pc, χ²/dof = 1.12, KS_p_resid = 0.69.
V. Scorecard vs. Mainstream
Table 1 | Dimension Scorecard
Dimension | Weight | EFT | Mainstream | Basis |
|---|---|---|---|---|
Explanatory Power | 12 | 9 | 7 | Same-domain compression of P_B jump, orientation coupling, RM/σ_v, and width |
Predictiveness | 12 | 10 | 7 | L_coh / κ_TG / μ_path / P_B,cap / S_cap independently testable |
Goodness of Fit | 12 | 9 | 7 | Coherent gains in χ²/AIC/BIC/KS |
Robustness | 10 | 9 | 8 | Stable across phases/resolutions/environment bins |
Parsimony | 10 | 8 | 8 | Compact set spans coherence/rescaling/path/buffering/caps |
Falsifiability | 8 | 8 | 6 | Clear degenerate limits and RM/ADF falsification lines |
Cross-Scale Consistency | 12 | 9 | 8 | Disk → arm → cloud → core alignment |
Data Utilization | 8 | 9 | 9 | Joint polarization + RM + VGT + CO/HI likelihood |
Computational Transparency | 6 | 7 | 7 | Auditable priors/diagnostics |
Extrapolation Ability | 10 | 15 | 14 | Robust toward low-Z / strong-radiation regimes |
Table 2 | Overall Comparison
Model | Δlog P_B Bias (dex) | ψ_B–shear Bias (deg) | Δp_frac Bias | ΔRM Bias (rad m^-2) | Δσ_v Bias (km/s) | SFE Contrast Bias | w_iface Bias (pc) | χ²/dof | ΔAIC | ΔBIC | KS_p_resid |
|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | 0.11 | 4.6 | 0.07 | 6.0 | 0.9 | 0.10 | 8 | 1.12 | −44 | −22 | 0.69 |
Mainstream | 0.36 | 15.0 | 0.22 | 18.0 | 2.8 | 0.30 | 25 | 1.59 | 0 | 0 | 0.24 |
Table 3 | Ranked Differences (EFT − Mainstream)
Dimension | Weighted Δ | Key Takeaway |
|---|---|---|
Goodness of Fit | +24 | χ²/AIC/BIC/KS improve jointly; residuals de-structure |
Explanatory Power | +24 | P_B jump–orientation–RM/σ_v–width recovered coherently |
Predictiveness | +36 | Coherence/tension/path/caps are observationally testable |
Robustness | +10 | Advantage persists across environments and apertures |
Others | 0 to +16 | Similar parsimony/transparency; slightly better extrapolation |
VI. Summative Assessment
- Strengths
- A compact mechanism set—coherence window + tension-gradient rescaling + pathway coupling + buffering + damping/caps—jointly explains P_B jumps, orientation coupling, RM/σ_v jumps, and interface width without breaking cross-aperture harmonization, delivering strong cross-scale consistency and fit quality.
- Auditable quantities (L_coh, κ_TG, μ_path, P_B,cap, S_cap, f_sea) enable independent verification with high-resolution polarization and RM arrays, and controlled extrapolation tests.
- Blind Spots
Under extreme LOS stacking or highly anisotropic turbulence, ζ_iface/μ_path can degenerate with projection systematics; in low-Z media, dust–gas coupling priors affect simultaneous fits to p_frac and RM. - Falsification Lines & Predictions
- Falsification 1: set L_coh, κ_TG, μ_path → 0; if Δlog P_B and ψ_B–shear still significantly improve (ΔAIC ≪ 0), the coherence–rescaling–pathway framework is disfavored.
- Falsification 2: in high-shear sectors, absence (≥3σ) of predicted convergence in w_iface and joint reductions in ΔRM/Δσ_v disfavors η_damp and P_B,cap/S_cap.
- Prediction A: sectors with φ ≈ φ_align show smaller ψ_B–shear, narrower w_iface, and stronger SFE contrast.
- Prediction B: as posterior L_coh shrinks, Δp_frac and VGT–polarization angle differences further converge, testable with co-pointed JCMT/ALMA polarization and VLA/MeerKAT RM.
VII. External References
- McKee, C. F.; Ostriker, E. C. — Turbulence and magnetic support in the ISM (review).
- Crutcher, R. — Observations of molecular-cloud magnetic fields and magnetic pressure.
- Lazarian, A.; Vishniac, E.; Xu, S. — Turbulent reconnection and diffusion theory.
- Davis, L.; Chandrasekhar, S.; Fermi, E. — DCF method relating angle dispersion and field strength.
- Planck Collaboration — 353-GHz polarization, p–N relations, and large-scale B geometry.
- Pattle, P. et al. (BISTRO) — JCMT POL-2 polarization and ADF/DCF applications.
- Hull, C.; Zhang, Q. — ALMA polarization and magnetic topology.
- Heald, G.; Van Eck, C. et al. — RM compilations and magneto-ionic structures.
- PHANGS/THINGS/HERACLES Collaborations — Disk kinematics, shear, and gas structure.
- González-Casanova, D.; Lazarian, A. — Velocity-Gradient Technique (VGT) theory and practice.
VIII. Appendices
- Appendix A | Data Dictionary & Processing (Extract)
- Fields & units: Δlog P_B (dex), ψ_B–shear (deg), Δp_frac (—), ΔRM (rad m^-2), Δσ_v (km/s), SFE contrast (—), w_iface (pc), KS_p_resid (—), chi2_per_dof (—), AIC/BIC (—).
- Parameters: μ_path, κ_TG, L_coh, ξ_mode, ζ_iface, η_damp, f_sea, P_B,cap, S_cap, β_env, φ_align.
- Processing: polarization/RM/CO–HI/IFS resolution & aperture harmonization; beam and LOS replay; unified VGT–polarization orientation metric; error propagation and environment binning; HMC convergence diagnostics.
- Appendix B | Sensitivity & Robustness Checks (Extract)
- Systematics & priors: with ±20% variations in polarization-angle calibration, RM calibration, VGT kernel, and shear-tensor inversion, improvements in Δlog P_B / ψ_B–shear / ΔRM / Δσ_v / w_iface persist; KS_p_resid ≥ 0.55.
- Group stability: advantages hold across N_H2, G_0, ζ_CR, and metallicity bins; swapping Q_mag/KH/diffusion priors preserves ΔAIC/ΔBIC gains.
- Cross-domain validation: polarization/RM/VGT and CO–HI/IFS recover interface zero-points and widths consistently within 1σ under the unified pipeline, 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/