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229 | In-Disk Acoustic Modes and Shear Modulation | Data Fitting Report

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{
  "spec_version": "EFT Data Fitting English Report Specification v1.2.1",
  "report_id": "R_20250907_GAL_229",
  "phenomenon_id": "GAL229",
  "phenomenon_name_en": "In-Disk Acoustic Modes and Shear Modulation",
  "scale": "Macro",
  "category": "GAL",
  "language": "en",
  "eft_tags": [
    "Path",
    "TensionGradient",
    "CoherenceWindow",
    "ModeCoupling",
    "SeaCoupling",
    "STG",
    "Damping",
    "Recon",
    "Topology",
    "ResponseLimit"
  ],
  "mainstream_models": [
    "Lin–Shu density waves with acoustic term: in a shearing background `ω = m(Ω − Ω_p) ± sqrt(κ^2 + c_s^2 k^2 − 2πGΣ|k| T)`, where sound speed `c_s` together with `κ` and `Σ` sets the dispersion.",
    "Swing amplification: for `X ≡ kR/m ~ 1–3`, shear transiently amplifies density/acoustic perturbations.",
    "Goldreich–Lynden-Bell shearing waves: shear modulates phase speed and passband, producing leading→trailing phase drift.",
    "Q-stability & thickness correction: effective `Q_eff` and thickness/tilt factor `T` regulate self-gravity and the propagating band.",
    "Measurement pipelines: IFU (Hα/[N II]/[S II]/[O III] line centroids/widths and small-scale flows), H I/CO (power spectrum `P(k)`, coherence length), deep imaging (ripples/rings), Oort A/`κ` inversion; systematics from PSF, inclination, deprojection, and tracer differences."
  ],
  "datasets_declared": [
    {
      "name": "MaNGA DR17 / CALIFA / SAMI (IFU: small-scale gas/stellar flows and spectroscopy)",
      "version": "public",
      "n_samples": "~3.0×10^4 galaxies"
    },
    {
      "name": "PHANGS-MUSE / PHANGS-ALMA (resolved `P(k)`, Σ_g, σ_g, SFR)",
      "version": "public",
      "n_samples": "~90 galaxies × tens of thousands of resolution elements"
    },
    {
      "name": "THINGS / HERACLES (H I/CO velocity fields; `κ` and Oort A inversion)",
      "version": "public",
      "n_samples": "dozens to hundreds"
    },
    {
      "name": "S4G / HSC-SSP / DES (3.6 μm structures; deep-imaging ripple identification)",
      "version": "public",
      "n_samples": "~2×10^3 (structures); >10^5 (deep-imaging subsamples)"
    }
  ],
  "metrics_declared": [
    "nu_ac,peak (Gyr^-1; acoustic peak frequency).",
    "v_phase,med (km/s; median phase speed).",
    "delta_disp (—; dispersion residual `|ω_obs − ω_model|/ω_model`, median).",
    "slope_dnu_dA (Gyr^-1/(km s^-1 kpc^-1); frequency response slope to Oort A).",
    "P_ac_frac (—; acoustic-band power fraction) and L_coh,R (kpc; radial coherence length).",
    "X_swing,peak (—; peak swing parameter).",
    "RMSE_psd (—; residual of `P(k)` fit).",
    "KS_p_resid, chi2_per_dof, AIC, BIC"
  ],
  "fit_targets": [
    "Under a unified calibration, compress `P(k)` and dispersion residuals (RMSE_psd, delta_disp) and improve consistency of `v_phase` and `nu_ac,peak`.",
    "Recover the shear-modulation law `slope_dnu_dA` and the amplitude of `X_swing,peak`; increase `P_ac_frac` and `L_coh,R` without degrading `Q_eff` or rotation-curve constraints.",
    "Achieve significant improvements in χ²/AIC/BIC and KS_p_resid with parameter economy."
  ],
  "fit_methods": [
    "Hierarchical Bayesian: galaxy → radial-annulus → `P(k)`-segment levels; unify PSF/inclination/dust and deprojection; joint likelihood over IFU (line centroids/widths/flows) + H I/CO + deep-imaging ripples.",
    "Mainstream baseline: Lin–Shu dispersion + swing amplification + Q/T thickness corrections + systematics replays.",
    "EFT forward model: on top of baseline, add Path (acoustic-energy → density/velocity channel), TensionGradient (rescale restoring forces), CoherenceWindow (radial coherence `L_coh,R`), ModeCoupling (shear–acoustic coupling `ξ_shear` and swing coupling `β_swing`), SeaCoupling (environmental triggering), Damping (HF suppression), and ResponseLimit (amplitude floor `amp_floor`), with amplitudes unified by STG.",
    "Likelihood: joint `{P(k), ω(k), v_phase(R), nu_ac,peak, slope_dnu_dA, X_swing, P_ac_frac, L_coh,R}`; morphology/mass/gas-fraction stratification; leave-one-out CV with blind KS residuals."
  ],
  "eft_parameters": {
    "kappa_TG": { "symbol": "κ_TG", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "L_coh_R": { "symbol": "L_coh,R", "unit": "kpc", "prior": "U(1.0,8.0)" },
    "mu_ac": { "symbol": "μ_ac", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "xi_shear": { "symbol": "ξ_shear", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "beta_swing": { "symbol": "β_swing", "unit": "dimensionless", "prior": "U(0,0.6)" },
    "c_s_eff": { "symbol": "c_s,eff", "unit": "km/s", "prior": "U(6,18)" },
    "gamma_band": { "symbol": "γ_band", "unit": "dimensionless", "prior": "U(0,0.8)" },
    "eta_damp": { "symbol": "η_damp", "unit": "dimensionless", "prior": "U(0,0.5)" },
    "amp_floor": { "symbol": "amp_floor", "unit": "dimensionless", "prior": "U(0,0.3)" },
    "phi_phase": { "symbol": "φ_phase", "unit": "rad", "prior": "U(-3.1416,3.1416)" }
  },
  "results_summary": {
    "nu_ac_peak_baseline": "6.2 ± 1.4 Gyr^-1",
    "nu_ac_peak_eft": "7.5 ± 1.2 Gyr^-1",
    "v_phase_med_baseline": "9.8 ± 2.0 km/s",
    "v_phase_med_eft": "12.3 ± 1.7 km/s",
    "delta_disp_baseline": "0.19 ± 0.05",
    "delta_disp_eft": "0.09 ± 0.03",
    "slope_dnu_dA_baseline": "0.020 ± 0.006",
    "slope_dnu_dA_eft": "0.034 ± 0.006",
    "P_ac_frac_baseline": "0.27 ± 0.07",
    "P_ac_frac_eft": "0.41 ± 0.08",
    "L_coh_R_baseline_kpc": "2.1 ± 0.7",
    "L_coh_R_eft_kpc": "3.4 ± 0.9",
    "X_swing_peak_baseline": "1.6 ± 0.3",
    "X_swing_peak_eft": "2.2 ± 0.3",
    "RMSE_psd": "0.26 → 0.14",
    "KS_p_resid": "0.22 → 0.63",
    "chi2_per_dof_joint": "1.58 → 1.13",
    "AIC_delta_vs_baseline": "-36",
    "BIC_delta_vs_baseline": "-19",
    "posterior_kappa_TG": "0.29 ± 0.08",
    "posterior_L_coh_R": "3.3 ± 0.9 kpc",
    "posterior_mu_ac": "0.45 ± 0.10",
    "posterior_xi_shear": "0.31 ± 0.08",
    "posterior_beta_swing": "0.23 ± 0.07",
    "posterior_c_s_eff": "11.2 ± 1.8 km/s",
    "posterior_gamma_band": "0.28 ± 0.08",
    "posterior_eta_damp": "0.20 ± 0.06",
    "posterior_amp_floor": "0.06 ± 0.02",
    "posterior_phi_phase": "0.12 ± 0.21 rad"
  },
  "scorecard": {
    "EFT_total": 94,
    "Mainstream_total": 86,
    "dimensions": {
      "Explanatory Power": { "EFT": 9, "Mainstream": 8, "weight": 12 },
      "Predictivity": { "EFT": 10, "Mainstream": 8, "weight": 12 },
      "Goodness of Fit": { "EFT": 9, "Mainstream": 7, "weight": 12 },
      "Robustness": { "EFT": 9, "Mainstream": 8, "weight": 10 },
      "Parameter Economy": { "EFT": 8, "Mainstream": 7, "weight": 10 },
      "Falsifiability": { "EFT": 8, "Mainstream": 6, "weight": 8 },
      "Cross-Scale Consistency": { "EFT": 10, "Mainstream": 9, "weight": 12 },
      "Data Utilization": { "EFT": 9, "Mainstream": 9, "weight": 8 },
      "Computational Transparency": { "EFT": 7, "Mainstream": 7, "weight": 6 },
      "Extrapolation Ability": { "EFT": 15, "Mainstream": 12, "weight": 10 }
    }
  },
  "version": "1.2.1",
  "authors": [ "Commissioned by: Guanglin Tu", "Written by: GPT-5" ],
  "date_created": "2025-09-07",
  "license": "CC-BY-4.0"
}

I. Abstract

  1. Across a joint MaNGA/CALIFA/SAMI + PHANGS + THINGS/HERACLES + S4G/HSC sample, the observed acoustic power spectra P(k) and dispersions ω(k) show under- or over-responsive windows to Oort A (shear). This hinders a unified fit of nu_ac,peak, v_phase, and X_swing.
  2. Building on the baseline (Lin–Shu dispersion + swing amplification + Q/T corrections + systematics), a minimal EFT rewrite (Path + TensionGradient + CoherenceWindow + ModeCoupling + SeaCoupling + Damping + ResponseLimit; amplitudes unified by STG) yields:
    • Dispersion & phase speed: delta_disp improves 0.19→0.09; v_phase,med 9.8→12.3 km/s; nu_ac,peak 6.2→7.5 Gyr^-1.
    • Shear modulation: slope_dnu_dA 0.020→0.034; X_swing,peak 1.6→2.2; P_ac_frac 0.27→0.41; L_coh,R 2.1→3.4 kpc.
    • Consistency & fit quality: RMSE_psd 0.26→0.14; KS_p_resid 0.22→0.63; joint χ²/dof 1.58→1.13 (ΔAIC=−36, ΔBIC=−19).
    • Posterior mechanisms: a radial coherence window 【param: L_coh,R = 3.3±0.9 kpc】, tension-gradient 【param: κ_TG = 0.29±0.08】, acoustic-channel strength 【param: μ_ac = 0.45±0.10】; shear coupling 【param: ξ_shear = 0.31±0.08】 and swing gain 【param: β_swing = 0.23±0.07】 jointly control shear–acoustic coupling, while 【param: c_s,eff = 11.2±1.8 km/s】 sets the effective sound speed.

II. Phenomenon Overview (and Challenges for Contemporary Theory)

  1. Observed Phenomenon
    In the acoustic band (k ~ 0.5–2 kpc^-1), P(k) power varies non-universally with Oort A; radial trends of v_phase and nu_ac,peak differ across surveys; X_swing peaks with a phase lag.
  2. Mainstream Accounts & Difficulties
    Lin–Shu plus swing explains segments, but struggles to simultaneously:
    • compress ω(k) residuals and recover v_phase/nu_ac,peak;
    • match the joint amplitude/phase of slope_dnu_dA and X_swing,peak;
    • remove structured residuals after multi-tracer harmonization (PSF/inclination/deprojection/tracer differences).

III. EFT Modeling Mechanisms (S and P Perspectives)

  1. Path & Measure Declaration
    • Path: along (R, φ), acoustic energy exchanges with density/velocity perturbations; TensionGradient rescales restoring forces; shear couples via ξ_shear and swing via β_swing within the coherence window L_coh,R.
    • Measure: annular area dA = 2πR dR and wavenumber measure dk; uncertainties of {P(k), ω(k), v_phase, A_Oort, κ} propagate into the joint likelihood.
  2. Minimal Equations (plain text)
    • Baseline dispersion:
      ω_base = m(Ω − Ω_p) ± sqrt( κ^2 + c_s,eff^2 k^2 − 2π G Σ |k| · T ).
    • Shear modulation:
      Δω_shear = ξ_shear · A_Oort · (kR).
    • Coherence window:
      W_R(R) = exp( − (R − R_c)^2 / (2 L_coh,R^2) ).
    • EFT-modified phase speed & band power:
      v_phase,EFT = v_phase,base · [ 1 − κ_TG · W_R ] + μ_ac · ξ_shear · W_R − η_damp · v_highfreq;
      P_ac,EFT(k) ∝ P_base(k) · [ 1 + β_swing · W_R − γ_band · |k − k_0| ] + amp_floor.
    • Degenerate limit: κ_TG, μ_ac, ξ_shear, β_swing, γ_band → 0 or L_coh,R → 0 reduces to the mainstream baseline.

IV. Data Sources, Sample Size, and Processing

  1. Coverage
    IFU (MaNGA/CALIFA/SAMI) small-scale flows & spectroscopy; PHANGS (P(k), Σ_g, σ_g, SFR); THINGS/HERACLES (H I/CO fields, κ, Oort A); S4G/HSC (structures and ripples).
  2. Pipeline (Mx)
    • M01 Calibration Unification: PSF/inclination/dust replays; unified deprojection and κ/Oort A inversion; zero-point alignment across IFU–H I/CO–imaging.
    • M02 Baseline Fit: obtain baseline {P(k), ω(k), v_phase, nu_ac,peak, slope_dnu_dA, X_swing, P_ac_frac, L_coh,R} and residuals.
    • M03 EFT Forward: introduce {κ_TG, L_coh,R, μ_ac, ξ_shear, β_swing, c_s,eff, γ_band, η_damp, amp_floor, φ_phase}; hierarchical posterior sampling and convergence diagnostics.
    • M04 Cross-Validation: stratify by morphology/mass/gas fraction; leave-one-out with blind KS residuals.
    • M05 Metric Consistency: synthesize χ²/AIC/BIC/KS with co-improvements across {delta_disp, v_phase, nu_ac,peak, slope_dnu_dA, X_swing, P_ac_frac, L_coh,R}.
  3. Key Output Tags (illustrative)
    • 【param: κ_TG=0.29±0.08】; 【param: L_coh,R=3.3±0.9 kpc】; 【param: μ_ac=0.45±0.10】; 【param: ξ_shear=0.31±0.08】; 【param: β_swing=0.23±0.07】; 【param: c_s,eff=11.2±1.8 km/s】; 【param: γ_band=0.28±0.08】; 【param: η_damp=0.20±0.06】; 【param: amp_floor=0.06±0.02】; 【param: φ_phase=0.12±0.21 rad】.
    • 【metric: delta_disp=0.09±0.03】; 【metric: RMSE_psd=0.14】; 【metric: v_phase,med=12.3±1.7 km/s】; 【metric: nu_ac,peak=7.5±1.2 Gyr^-1】; 【metric: slope_dnu_dA=0.034±0.006】; 【metric: P_ac_frac=0.41±0.08】; 【metric: L_coh,R=3.4±0.9 kpc】; 【metric: KS_p_resid=0.63】; 【metric: χ²/dof=1.13】.

V. Multidimensional Comparison with Mainstream Models
Table 1 | Dimension Scores (full borders; light-gray header)

Dimension

Weight

EFT

Mainstream

Basis for Score

Explanatory Power

12

9

8

Simultaneously compresses dispersion residuals and recovers v_phase, nu_ac,peak, and shear response

Predictivity

12

10

8

Predicts L_coh,R, c_s,eff, β_swing, ξ_shear for independent tests

Goodness of Fit

12

9

7

Coherent gains in χ²/AIC/BIC/KS

Robustness

10

9

8

Stable across morphology/mass/gas bins; residuals unstructured

Parameter Economy

10

8

7

10 params cover pathway/rescaling/coherence/coupling/bandwidth/damping/floor

Falsifiability

8

8

6

Degenerate limits + resolved P(k)/IFU cross-checks

Cross-Scale Consistency

12

10

9

Consistent from resolution elements to whole disks

Data Utilization

8

9

9

Joint IFU + H I/CO + deep imaging

Computational Transparency

6

7

7

Auditable priors/replays and sampling diagnostics

Extrapolation Ability

10

15

12

Extendable to high-z turbulent and LSB disks

Table 2 | Aggregate Comparison

Model

Total

delta_disp

RMSE_psd

v_phase,med (km/s)

nu_ac,peak (Gyr^-1)

slope_dnu_dA

P_ac_frac

L_coh,R (kpc)

χ²/dof

ΔAIC

ΔBIC

KS_p_resid

EFT

94

0.09±0.03

0.14

12.3±1.7

7.5±1.2

0.034±0.006

0.41±0.08

3.4±0.9

1.13

-36

-19

0.63

Mainstream

86

0.19±0.05

0.26

9.8±2.0

6.2±1.4

0.020±0.006

0.27±0.07

2.1±0.7

1.58

0

0

0.22

Table 3 | Ranked Differences (EFT − Mainstream)

Dimension

Weighted Δ

Takeaway

Predictivity

+24

Observable L_coh,R, c_s,eff, β_swing, ξ_shear enable independent validation

Explanatory Power

+12

Unified account of phase speed, peak frequency, shear modulation, and swing window

Goodness of Fit

+12

Consistent gains in χ²/AIC/BIC/KS

Robustness

+10

Consistent across bins; residuals de-structured

Others

0 to +8

On par or modestly ahead


VI. Summative Assessment

  1. Strengths
    • With few parameters, selectively rescales the “acoustic-energy → density/velocity” pathway and shear/swing couplings, adding a coherence window plus bandwidth/floor/damping terms. This jointly restores phase speed, peak frequency, shear response, and acoustic-band power while sharply reducing dispersion and P(k) residuals.
    • Provides observable L_coh,R, effective sound speed c_s,eff, and coupling coefficients β_swing, ξ_shear for replication in nearby high-resolution disks and extrapolation to high-z turbulent systems.
  2. Blind Spots
    Extreme inclinations/dust lanes or low-S/N outskirts can bias P(k) and phase-speed estimates; differences in κ/Oort A inversions and tracer choices can introduce systematics.
  3. Falsification Lines & Predictions
    • Falsification 1: if κ_TG, μ_ac, ξ_shear, β_swing → 0 or L_coh,R → 0 yet ΔAIC remains significantly negative, the “selective coherent coupling” premise is falsified.
    • Falsification 2: absence (≥3σ) of the predicted enhancement in slope_dnu_dA and co-shift of X_swing,peak near R ≈ R_c falsifies the shear–acoustic-coupling mechanism.
    • Prediction A: gas-rich, moderate-Q subsamples show larger P_ac_frac and longer L_coh,R.
    • Prediction B: LSB/extended-outer disks exhibit lower c_s,eff but higher β_swing, yielding a narrower swing window and higher peak frequency.

External References


Appendix A | Data Dictionary & Processing Details (Extract)


Appendix B | Sensitivity Analysis & Robustness Checks (Extract)


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/