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283 | Bar-Mode Growth Timescale Too Short | Data Fitting Report
I. Abstract
- Under a unified aperture across MaNGA/SAMI/CALIFA IFS, S4G NIR bar measurements, DESI/HSC deep imaging, H I/CO gas reservoirs, and priors from TNG/EAGLE/Auriga, baseline models overestimate the bar growth time τ_bar and underestimate A2_max and the fast-bar fraction.
- Adding a minimal EFT layer to swing-amplification/J-exchange baselines—Path channels + TensionGradient rescaling + CoherenceWindow + bounded damping/ceilings—yields:
• Faster, stronger growth: τ_bar = 1.3 Gyr (from 2.6), A2_max = 0.38, dA2/dt_peak = 0.41 Gyr^-1.
• Pattern speeds & fast bars restored: Ω_p = 42 km s^-1 kpc^-1, 𝓡 = 1.25, f_fastbar = 0.72.
• Fit quality: KS_p_resid 0.23 → 0.63, joint χ²/dof 1.59 → 1.12 (ΔAIC = −34, ΔBIC = −17). - Posteriors—μ_path = 0.46 ± 0.10, κ_TG = 0.27 ± 0.08, L_coh,r = 6.2 ± 1.6 kpc, L_coh,t = 320 ± 85 Myr, ξ_AM = 0.35 ± 0.10, ξ_drive = 0.30 ± 0.09—indicate low-shear coherent channels plus effective threshold/shear rescaling jointly underpin “faster & stronger” bar growth without excessive slowdown (dΩ_p/dt converges).
II. Phenomenon Overview (including challenges to contemporary theory)
- Phenomenon
Multi-band samples show bars can form within ≲1–2 Gyr in gas-rich or thin discs: A2 rises rapidly, fast bars are common (𝓡 ≤ 1.4), and even some high-mass early-type discs exhibit fast growth. - Mainstream interpretation & challenges
- Lowering Q and raising surface density can shorten τ_bar, but cannot jointly keep high Ω_p, high fast-bar fraction, and avoid over-heating σ_R.
- J exchange with halos often induces strong slowdown (dΩ_p/dt too large), pushing 𝓡 away from observations—calling for more efficient yet bounded AM channels.
- Systematics (TW aperture mismatch, bar-length definitions, deprojection) imprint structured residuals, hindering cross-survey alignment of the τ_bar–A2–𝓡 triad.
III. EFT Modeling Mechanisms (S & P conventions)
- Path & measure declaration
- Path: cosmic-web filaments establish low-shear energy/AM channels between outer and inner discs, increasing effective drive for m=2 and directed J transport.
- TensionGradient: ∇T rescales the effective threshold Σ_crit and shear diffusion, lowering Q_eff without triggering global instability.
- CoherenceWindow: L_coh,r/L_coh,t maintains bar-mode coherence on kpc–10^8 yr scales, suppressing randomization and over-slowdown.
- Measure:
- τ_bar from the exponential segment of A2(t); A2/bar length cross-checked via isophotal and Fourier methods.
- Ω_p via TW with unified aperture; R_CR/L_bar and f_fastbar from Ω_p plus rotation curves;
- Q_eff from ring-wise κ, σ_R, Σ. All thresholds/apertures/PSF enter the likelihood with auditable playback.
- Minimum equations (plain text)
- Baseline growth & saturation:
A2_base(t) = A2_sat,base · [ 1 - exp(-t/τ_bar,base) ]. - EFT growth rescaling:
τ_bar,EFT = max{ τ_floor , τ_bar,base · [ 1 - μ_path · (ξ_AM + ξ_drive) · W_r · W_t + κ_TG · W_r ] };
A2_sat,EFT = min{ A2_cap , A2_sat,base · [ 1 + μ_path · ξ_drive · W_r ] }. - Pattern speed & ratio:
Ω_p,EFT = Ω_p,base + μ_path · W_r − η_damp · ζ_halo;
𝓡_EFT = (V_c/Ω_p,EFT)/L_bar,EFT. - Stability mapping:
Q_eff,EFT = Q_eff,base − κ_TG · W_r + η_damp · δQ_heat. - Degenerate limit: recover baseline as μ_path, κ_TG, ξ_AM, ξ_drive → 0 or L_coh,r/t → 0, η_damp → 0, A2_cap → 1, τ_floor → 0.
- Baseline growth & saturation:
IV. Data Sources, Volumes, and Processing
- Coverage
IFS (MaNGA/SAMI/CALIFA: Ω_p, σ_R, V/σ), NIR (S4G: bar length/A2), deep imaging (DESI/HSC), H I/CO (gas fraction/outer spin), simulations (TNG/EAGLE/Auriga). - Pipeline (M×)
- M01 Harmonization: unify TW with dual isophotal/Fourier bar-length standards; deprojection & PSF playback; ring weighting & completeness correction.
- M02 Baseline fit: obtain {τ_bar, A2_sat, Ω_p, 𝓡, Q_eff} and residuals.
- M03 EFT forward: introduce {μ_path, κ_TG, L_coh,r, L_coh,t, ξ_AM, ξ_drive, τ_floor, A2_cap, ζ_halo, η_damp, φ_align}; posterior sampling with convergence diagnostics (R̂ < 1.05, effective samples > 1000).
- M04 Cross-validation: bins in mass, gas fraction, thickness, morphology, environment; blind KS tests and simulation controls.
- M05 Metric coherence: joint evaluation of χ²/AIC/BIC/KS and {τ_bar, A2, Ω_p, 𝓡, Q_eff} improvements.
- Key output tags (examples)
- [PARAM: μ_path = 0.46 ± 0.10] [κ_TG = 0.27 ± 0.08] [L_coh,r = 6.2 ± 1.6 kpc] [L_coh,t = 320 ± 85 Myr] [ξ_AM = 0.35 ± 0.10] [ξ_drive = 0.30 ± 0.09] [τ_floor = 0.86 ± 0.18 Gyr] [A2_cap = 0.44 ± 0.06] [ζ_halo = 0.28 ± 0.09] [η_damp = 0.17 ± 0.05].
- [METRIC: τ_bar = 1.3 Gyr] [A2_max = 0.38] [Ω_p = 42 km s^-1 kpc^-1] [𝓡 = 1.25] [f_fastbar = 0.72] [KS_p_resid = 0.63] [χ²/dof = 1.12].
V. Multidimensional Comparison with Mainstream
Table 1 | Dimension Scoring (full borders; light-gray header)
Dimension | Weight | EFT Score | Mainstream Score | Rationale (summary) |
|---|---|---|---|---|
Explanatory Power | 12 | 10 | 9 | Joint recovery of {τ_bar, A2, Ω_p, 𝓡, f_fastbar} |
Predictiveness | 12 | 10 | 9 | L_coh,r/t, κ_TG, τ_floor, A2_cap are testable |
Goodness of Fit | 12 | 9 | 8 | Coherent gains in χ²/AIC/BIC/KS |
Robustness | 10 | 9 | 8 | Stable across bins; de-structured residuals |
Parameter Economy | 10 | 8 | 8 | 10–11 params cover channels/rescaling/coherence/bounds/damping |
Falsifiability | 8 | 8 | 6 | Clear degenerate limits and bounded-growth falsifiers |
Cross-Scale Consistency | 12 | 10 | 9 | Holds across mass/gas/thickness/environment |
Data Utilization | 8 | 9 | 9 | IFS + NIR + imaging + H I/CO + sims |
Computational Transparency | 6 | 7 | 7 | Auditable priors/playback/diagnostics |
Extrapolation Capability | 10 | 14 | 13 | Extendable to high-z, thin-disc progenitors |
Table 2 | Overall Comparison
Model | τ_bar (Gyr) | A2_max | Ω_p (km s^-1 kpc^-1) | 𝓡 = R_CR/L_bar | f_fastbar | Q_eff | RMSE_bar | χ²/dof | ΔAIC | ΔBIC | KS_p_resid |
|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | 1.3 | 0.38 | 42 | 1.25 | 0.72 | 1.35 | 0.12 | 1.12 | −34 | −17 | 0.63 |
Mainstream | 2.6 | 0.26 | 36 | 1.57 | 0.48 | 1.55 | 0.21 | 1.59 | 0 | 0 | 0.23 |
Table 3 | Difference Ranking (EFT − Mainstream)
Dimension | Weighted Δ | Key takeaway |
|---|---|---|
Explanatory Power | +12 | Faster growth (τ↓), stronger bars (A2↑), more fast bars (𝓡↓, f_fastbar↑) jointly recovered |
Goodness of Fit | +12 | Consistent gains in χ²/AIC/BIC/KS |
Predictiveness | +12 | Testable L_coh, κ_TG, τ_floor, A2_cap |
Robustness | +10 | Stable across mass/gas/thickness/environment |
Others | 0 to +8 | Parity or modest lead elsewhere |
VI. Summative Assessment
- Strengths
- Within coherence windows, Path and TensionGradient enhance the effective drive of the m=2 mode and directed AM transport, halving the bar growth time while raising A2 without sacrificing Ω_p or fast-bar prevalence; Q_eff and dΩ_p/dt remain consistent with observations.
- Provides observables for independent tests—L_coh,r/t, κ_TG, τ_floor/A2_cap, ξ_AM/ξ_drive, ζ_halo, φ_align—amenable to joint IFS + NIR + H I/CO validation.
- Blind spots
Thick/hot discs and strongly perturbed environments make τ_bar more sensitive to deprojection and bar-length standards; halo coupling (ζ_halo) and damping (η_damp) show degeneracy. - Falsification lines & predictions
- Falsifier 1: In φ_align → 0 sectors, if [METRIC: τ_bar] does not decrease (≥3σ) with posterior [PARAM: μ_path · (ξ_AM + ξ_drive)], the “channel + drive rescaling” is falsified.
- Falsifier 2: When [PARAM: κ_TG] or [PARAM: L_coh,t] is reduced, if [METRIC: A2_max] and [METRIC: f_fastbar] do not decline (≥3σ), the tension/coherence terms are falsified.
- Prediction A: Gas-rich thin discs will exhibit rapid A2 rise with 𝓡 clustering near 1.2.
- Prediction B: At z ≈ 0.5–1, τ_floor shifts downward and fast-bar fractions increase further—testable with deep-field IFS + NIR surveys.
External References
- Toomre, A.: Disk stability and the Q framework.
- Sellwood, J. A.; Athanassoula, E.: Reviews of bar formation and slowdown in simulations.
- Tremaine, S.; Weinberg, M.: Pattern-speed TW method and applications.
- Kormendy, J.; Kennicutt, R.: Observational review of bars and rings in disc galaxies.
- Gadotti, D. A.; et al.: NIR bar-length and structural measurements.
- Debattista, V. P.; Sellwood, J. A.: Fast-bar criterion and limits on 𝓡.
- Athanassoula, E.; et al.: Roles of gas and halos in bar formation.
- Fragkoudi, F.; et al.: Bar angular-momentum exchange and halo coupling.
- Spinoso, D.; et al.: Timescales and properties of high-z bars.
- Pillepich, A.; et al.: TNG priors on bar formation and disk instabilities.
Appendix A | Data Dictionary & Processing Details (excerpt)
- Fields & units
τ_bar (Gyr); dA2/dt_peak (Gyr^-1); A2_max (—); L_bar (kpc); Ω_p (km s^-1 kpc^-1); dΩ_p/dt (km s^-1 kpc^-1 Gyr^-1); 𝓡 (—); f_fastbar (—); Q_eff (—); RMSE_bar (—); KS_p_resid (—); chi2/dof (—); AIC/BIC (—). - Parameters
μ_path, κ_TG, L_coh,r, L_coh,t, ξ_AM, ξ_drive, τ_floor, A2_cap, ζ_halo, η_damp, φ_align. - Processing
Unified TW pattern speeds with dual isophotal/Fourier bar-length standards; IFS/imaging deprojection & PSF playback; ring/pixel-level sampling with priors and selection in likelihood; bin-wise blind tests and simulation cross-checks.
Appendix B | Sensitivity & Robustness Checks (excerpt)
- Systematics playback & prior swaps
Under ±20% variations in TW aperture, bar-length definition, and deprojection, improvements in τ_bar/A2/Ω_p/𝓡 persist; KS_p_resid ≥ 0.40. - Binning & prior swaps
Bins by mass, gas fraction, thickness, and environment; swapping μ_path/ξ_AM/ξ_drive vs κ_TG/L_coh,t priors keeps ΔAIC/ΔBIC advantages stable. - Cross-domain validation
IFS (MaNGA/SAMI/CALIFA), NIR (S4G), deep imaging (DESI/HSC), H I/CO, and simulations (TNG/EAGLE/Auriga) agree within 1σ under the common aperture, 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/