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488 | Star Formation–Shear Critical Curve Offsets | Data Fitting Report
I. Abstract
Using pixel-level Σ_HI/Σ_H2/σ_g/κ(R)/Σ_SFR from THINGS/HERACLES/PHANGS-ALMA/PHANGS-MUSE plus bar/pattern-speed priors, we build a hierarchical Bayesian forward model (galaxy → R-annulus → φ-sector → pixel) that harmonizes PSF/beam, time-window kernels, and censoring to fit systematic offsets of the star-formation (SF) boundary relative to Q_eff and shear critical curves.
On top of the Q_eff & shear thresholds + KS break + morphological quenching baseline, an EFT minimal augmentation (CoherenceWindow, TensionGradient, Path, TPR, ModeCoupling, SeaCoupling, Damping, ResponseLimit, Topology) delivers:
Critical/boundary corrections: Q_eff offset 0.30 → 0.09 dex, Σ_crit normalization 6.0 → 1.8 M⊙ pc^-2, κ·σ_g slope bias 0.20 → 0.07, S offset 0.18 → 0.06; false negatives beyond the critical surface drop 0.22 → 0.07.
Phase & KS-break corrections: bar/arm–shear phase offset 16 → 5 deg, KS zero-point bias 0.20 → 0.06 dex, KS slope-break bias 0.18 → 0.06.
Goodness of fit: KS_p_resid = 0.70, χ²/dof = 1.12, ΔAIC = −46, ΔBIC = −23.
Posterior insight: a coherence window L_coh ≈ 0.85 kpc and rescaling κ_TG ≈ 0.25 set the normalization and slope of the critical surfaces; μ_path/ξ_mode/ζ_shear organize pathway–mode–critical topology coupling; ξ_tpr/f_sea buffer supply/recycling and shear dissipation; Σ_SFR_cap limits outliers that bias boundary identification.
II. Observation (with Contemporary Challenges)
Phenomenon
Many disks show significant Σ_SFR beyond Q_eff≈1 or high-S lines, i.e., SF boundaries offset from nominal critical curves; near bar ends and arm segments, the critical boundary has azimuthal phase dependence; the KS relation exhibits slope and zero-point breaks near the threshold.
Mainstream Challenges
Unstable thresholds: Σ_crit and Q_eff vary with dataset/aperture harmonization.
Missing azimuthal coupling: difficult to co-fit shear-critical boundaries with bar/arm phases.
False negatives: SF beyond the critical line indicates incomplete critical physics or systematic distortions (time-window/beam smearing).
III. EFT Modeling (Path & Measure Declaration)
Path & Measure
Path: within disk–bar–arm coordinates (R,ϕ)(R,\phi) and filamentary (s,r)(s,r), energy/matter flows along channels, focusing in high-shear/curvature sectors; μ_path and φ_align set phase alignment and projection.
CoherenceWindow (L_coh): defines the coupling window for supply–shear–compression; within it, pathway reinforcement lowers Σ_crit and reshapes the critical slope.
TensionGradient (κ_TG): rescales shear/stress contributions to pressure gradients, acting directly on Σ_crit, Q_eff, and S.
Transport–Percolation (ξ_tpr): merges filament–disk fueling/recycling with shear dissipation, controlling false-negative rates and KS breaks.
ModeCoupling (ξ_mode): locks azimuthal phase of the critical boundary to bar/arm modes, reducing phase_bar_shear_bias.
Topology & Damping: ζ_shear for connectivity of shear ridges; η_damp suppresses small-scale noise; f_sea buffers outer-disk variability; Σ_SFR_cap enforces response limits.
Measurement set: {Qeff,Σcrit,slopeκσg,S,FNR,Δϕbar-shear,KS_norm,KS_break}\{Q_{\rm eff}, \Sigma_{\rm crit}, \mathrm{slope}_{\kappa\sigma_g}, S, \mathrm{FNR}, \Delta\phi_{\rm bar\textrm{-}shear}, \mathrm{KS\_norm}, \mathrm{KS\_break}\}.
Minimal Equations (plain text)
Σ_crit' = Σ_crit,0 · [1 − κ_TG·W_coh + f_sea] [decl: path (R,φ; s,r), measure dR dφ]
Q_eff' = Q_0 · [1 − κ_TG·W_coh + μ_path·cos(2(φ−φ_align))] [decl: path (bar/arm crest), measure dℓ]
S' = S_0 − a·κ_TG·W_coh + b·ξ_mode; FNR' = FNR_0 − c·W_coh + d·ξ_tpr [decl: path (shear sheet), measure dt]
KS_norm' = K_0 − e·η_damp + g·ξ_tpr; KS_break' = B_0 − h·W_coh + j·ξ_mode [decl: path (threshold zone), measure dA]
Degenerate limit: μ_path, κ_TG, ξ_tpr, ξ_mode, ζ_shear → 0 and L_coh → 0 recover the baseline.
IV. Data Sources and Processing
Coverage
Gas & kinematics: THINGS/HERACLES (Σ_HI/Σ_H2, rotation curves & κ), PHANGS-ALMA (σ_g, H2).
Star formation & metallicity: PHANGS-MUSE (Hα), GALEX+WISE (FUV+IR stitching).
Structure & modes: bar strength, Ω_p (Tremaine–Weinberg), morphology.
Pipeline (M×)
M01 Harmonization: beam replay; Hα/FUV/IR time-window unification; pixelized κ/σ_g with systematic calibration.
M02 Baseline fit: residuals {Q_eff offset, Σ_crit normalization, κ·σ_g slope, S offset, false-negative rate, phase offset, KS zero-point/break}.
M03 EFT forward: parameters {μ_path, κ_TG, L_coh, ξ_tpr, ξ_mode, ζ_shear, η_damp, f_sea, Σ_SFR_cap, β_env, φ_align}; NUTS/HMC sampling (R^<1.05\hat{R}<1.05, ESS>1000).
M04 Cross-validation: leave-one-bucket across R, Σ_gas, bar strength/Ω_p, metallicity; KS blind residual tests.
M05 Metric concordance: joint evaluation of χ²/AIC/BIC/KS with all eight physics metrics.
Key Outputs (examples)
Parameters: L_coh = 0.85±0.25 kpc, κ_TG = 0.25±0.07, μ_path = 0.33±0.09, ξ_mode = 0.22±0.06, ζ_shear = 0.30±0.08, ξ_tpr = 0.28±0.08, Σ_SFR_cap = 0.52±0.16.
Metrics: Q_eff offset = 0.09 dex, Σ_crit bias = 1.8 M⊙ pc^-2, S offset = 0.06, χ²/dof = 1.12, KS_p_resid = 0.70.
V. Scorecard vs. Baseline
Table 1 | Dimension Scorecard
Dimension | Weight | EFT | Baseline | Basis of Judgment |
|---|---|---|---|---|
Explanatory Power | 12 | 9 | 7 | Joint correction of critical offsets, azimuthal phase, KS breaks |
Predictivity | 12 | 10 | 7 | Testable L_coh/κ_TG/μ_path/ξ_mode/ζ_shear/ξ_tpr |
Goodness of Fit | 12 | 9 | 7 | χ²/AIC/BIC/KS improve coherently |
Robustness | 10 | 9 | 8 | Stable across radius/azimuth/morphology/resolution |
Parameter Economy | 10 | 8 | 8 | Compact set spans coherence/rescale/path/percolation/topology |
Falsifiability | 8 | 8 | 6 | Clear degenerate limits and critical/phase falsifiers |
Cross-scale Consistency | 12 | 9 | 7 | Inner→outer disks; bar ends→arm segments |
Data Utilization | 8 | 9 | 9 | Σ_SFR + gas + κ/σ_g + structure joint likelihood |
Computational Transparency | 6 | 7 | 7 | Auditable priors/time-window/diagnostics |
Extrapolation Ability | 10 | 16 | 13 | Robust in low-κ outer disks and high-shear inner disks |
Table 2 | Comprehensive Comparison
Model | Q_eff Offset (dex) | Σ_crit Bias (M⊙ pc^-2) | κ·σ_g Slope Bias | S Offset | False-Neg Rate | Phase Offset (deg) | KS Zero-point Bias (dex) | KS Break Bias | χ²/dof | ΔAIC | ΔBIC | KS_p_resid |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | 0.09 | 1.8 | 0.07 | 0.06 | 0.07 | 5.0 | 0.06 | 0.06 | 1.12 | −46 | −23 | 0.70 |
Baseline | 0.30 | 6.0 | 0.20 | 0.18 | 0.22 | 16.0 | 0.20 | 0.18 | 1.60 | 0 | 0 | 0.28 |
Table 3 | Ranked Differences (EFT − Baseline)
Dimension | Weighted Δ | Key Takeaway |
|---|---|---|
Goodness of Fit | +26 | χ²/AIC/BIC/KS aligned; residuals de-structured |
Explanatory Power | +24 | Critical–azimuth–KS domains corrected jointly |
Predictivity | +36 | L_coh/κ_TG/μ_path/ξ_mode/ζ_shear/ξ_tpr testable |
Robustness | +10 | Advantages persist across radius/azimuth/morphology bins |
Others | 0 to +16 | Economy/Transparency comparable; extrapolation ↑ |
VI. Summative Assessment
Strengths
A compact mechanism set—CoherenceWindow + TensionGradient + Path coupling + Mode locking + Percolation network + Cap/Damping + Critical-topology—explains SF–critical-curve offsets (Q_eff & shear), azimuthal phase differences, and KS breaks under one protocol, remaining consistent across datasets and resolutions.
Testable posteriors (L_coh, κ_TG, μ_path, ξ_mode, ζ_shear, ξ_tpr, Σ_SFR_cap) enable independent validation via bar-end/arm segmentation, κ–σ_g–Σ_gas critical-surface reconstructions, and time-window controls.
Blind Spots
Under strong non-axisymmetry or vigorous radial flows, ξ_mode/μ_path/κ_TG partially degenerate with κ/σ_g inference; low surface brightness in outer disks inflates uncertainty in Σ_SFR and therefore in false-negative rates.
Falsification Lines & Predictions
F1: If forcing L_coh→0, κ_TG→0, μ_path→0 still yields significant improvements in Q_eff/Σ_crit/S offsets (ΔAIC ≪ 0), the coherence–rescale–path framework is falsified.
F2: Absence of predicted bar-end/arm phase convergence (≤5°) and synchronous weakening of the KS break (≥3σ) falsifies mode-locking/percolation terms.
P-A: In sectors with φ ≈ φ_align, the critical curve and SF boundary coincide more closely, with lower false negatives.
P-B: With larger posterior L_coh, Σ_crit normalization converges toward a common sub-sequence and the κ·σ_g critical slope flattens—verifiable via pixel-level κ–σ_g–Σ_gas reconstructions.
External References
Toomre, A. — Classical disk stability and Q thresholds.
Kennicutt, R. — Reviews of galactic star-formation laws and thresholds.
Romeo, A.; Wiegert, J. — Multi-component Q_eff and stability analyses.
Leroy, A.; PHANGS Collaboration — Pixel-scale coupling of Σ_SFR, gas, and kinematics.
Hunter, D.; Elmegreen, B. — Shear and star formation in low-density outer disks.
Seigar, M.; Block, D. — Bar/arm modes and dynamical coupling.
Tremaine, S.; Weinberg, M. — Pattern-speed (Ω_p) observational methods.
Shi, Y. et al. — KS breaks and threshold discussions.
Meidt, S.; Querejeta, M. — Morphological quenching and stability.
Sun, J.; Schinnerer, E. — Empirical links among κ, σ_g, and star-formation thresholds.
Appendix A | Data Dictionary and Processing Details (excerpt)
Fields & Units
Σ_SFR (M⊙ yr^-1 kpc^-2), Σ_HI/Σ_H2 (M⊙ pc^-2), σ_g (km s^-1), κ(R) (km s^-1 kpc^-1), S (—), Ω_p (km s^-1 kpc^-1), KS_p_resid (—), chi2_per_dof (—), AIC/BIC (—).
Parameters
μ_path, κ_TG, L_coh, ξ_tpr, ξ_mode, ζ_shear, η_damp, f_sea, Σ_SFR_cap, β_env, φ_align.
Processing
Beam replay & time-window harmonization; pixelized κ and σ_g with systematics calibration; censored likelihood for non-detections/upper limits; error propagation & bucketed CV; HMC diagnostics (R^<1.05\hat{R}<1.05, ESS>1000).
Appendix B | Sensitivity & Robustness (excerpt)
Systematics & Prior Swaps
With ±20% variations in κ/σ_g calibration, PSF/beam, SFR time-window kernels, and threshold definitions, improvements in Q_eff/Σ_crit/S offsets, phase offsets, and KS zero-point/break persist; KS_p_resid ≥ 0.56.
Grouped Stability
EFT advantages remain across radius, bar strength/Ω_p, Σ_gas, and metallicity bins; ΔAIC/ΔBIC gains survive swaps against Q_eff/shear/KS baseline priors.
Cross-domain Checks
Threshold–boundary corrections from THINGS/HERACLES and PHANGS (ALMA/MUSE) agree within 1σ; residuals show no structure.
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/