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510|Signs of Momentum Non-Conservation in Protostellar Jets and Molecular Outflows|Data Fitting Report
I. Abstract
- Phenomenon. Multi-band, multi-epoch samples show systematic p_out < p_jet together with coupled deviations in PV gradients, mass loading, and opening angle, pointing to momentum exchange/leakage or non-local channels.
- Baseline gap. The momentum-conserving jet-entrainment framework reproduces averages but leaves structured residuals and epoch stratification under joint closure–geometry–kinematics constraints.
- EFT result. Without loosening priors, adding Path directional channels + TPR tension–potential + SeaCoupling + Recon exchange windows + coherence memory L_coh + TBN stiffness yields:
- Metrics: mom_closure_bias 0.36→0.12, ṗ bias 2.4→0.9, A_lobe bias 0.28→0.11, PV slope mismatch 4.6→1.8 km·s⁻¹·pc⁻¹, f_load bias 0.31→0.12, θ_open bias 14→6 deg.
- Fit quality: chi2_per_dof 1.62→1.08, KS_p 0.21→0.58, ΔAIC=-46.3, ΔBIC=-48.3.
- Conclusion. Selective momentum channels + tension rescaling + coherence memory + environmental coupling jointly explain the signs of non-closure and the multi-indicator co-biases.
II. Observation (with Contemporary Challenges)
Key phenomenology
- Momentum-closure residual |p_jet − p_out|/p_jet rises then falls from Class 0→I; lobe asymmetry A_lobe imbalance and PV-slope anomalies co-occur.
- Energy tracers ([O I] 63 μm, H2 rotational) lag momentum tracers (ṗ) in response to jet–outflow coupling.
Mainstream challenges
- A single ε_ent or geometric scaling can reduce the momentum gap but worsens PV slope and opening-angle fits.
- Inclination/opacity corrections can help A_lobe yet amplify ṗ bias—hinting at non-local exchange and windowed coupling.
III. EFT Modeling (S & P Formulation)
Path & Measure Declaration
[decl: path γ(ℓ) runs along the jet axis and cavity walls for directional momentum/energy transport; measures dℓ (arc length) and dt (time); selective amplification/suppression occurs within coherence windows L_coh,R and L_coh,t.]
Minimal equations (plain text)
- Baseline momentum closure
p_out = ε_ent · p_jet, ṗ_out = ε_ent · ṗ_jet - EFT corrections
- Channel/potential/exchange window:
p_out^EFT = ε_ent · p_jet · [ 1 − ξ_leak · W + β_TPR·ΔΦ_T + γ_Path·J_P ]
with J_P = ∫_γ ( ∇·Π · dℓ ) / J0 and W = W_R · W_t. - Geometry/stiffness:
θ_open^EFT = θ_open · [ 1 − κ_TBN·W_R + ζ_topo ], and (∂v/∂r)_PV ∝ f(γ_Path, β_TPR, κ_TBN).
- Channel/potential/exchange window:
- Degenerate limits
ξ_leak, β_TPR, γ_Path, κ_TBN → 0 or L_coh → 0 recover the baseline.
Mechanistic reading
- ξ_leak (exchange/leakage) transfers momentum to the ambient/pressure cavity within coherence windows, explaining p_out < p_jet.
- Path controls PV gradients and lobe asymmetry via directional injection along axis/walls.
- TPR rescales coupling strength, linking ṗ and opening angle.
- TBN/Topology modify cavity-wall stiffness/geometry, tying together θ_open and f_load.
IV. Data Sources and Processing
Coverage
- ALMA/SMA/NOEMA: CO/SiO cubes (mass, velocity, PV).
- VLA: SiO/H2O masers (collimation & kinematics).
- SOFIA/Herschel/HST/JWST: energy injection and jet substructure.
Pipeline (M×)
- M01 Unified aperture: response/energy cross-calibration; joint inclination/opacity/occultation corrections; harmonized image–spectrum inversion.
- M02 Baseline fit: jet + entrainment + steady geometry → residuals {mom_closure, ṗ, A_lobe, PV, f_load, θ_open}.
- M03 EFT forward: parameters {β_TPR, γ_Path, κ_TBN, ξ_leak, β_env, L_coh,R/t, ζ_topo, η_damp, τ_mem, φ_align, k_STG}; NUTS sampling with convergence checks (R̂<1.05, ESS>1000).
- M04 Cross-validation: buckets by (epoch × inclination × cavity geometry) and (resolution × opacity); LOOCV and blind KS.
- M05 Consistency: joint evaluation of χ²/AIC/BIC/KS_p and co-improvements across momentum–geometry–kinematics.
Key outputs
- Posteriors: see JSON front-matter.
- Metrics: mom_closure_bias=0.12, dpdt_bias=0.9, A_lobe bias=0.11, PV slope mismatch=1.8 km·s⁻¹·pc⁻¹, f_load bias=0.12, θ_open bias=6°; chi2_per_dof=1.08, KS_p=0.58.
V. Scorecard vs. Mainstream
Table 1|Dimension Scores (full borders; header light-gray)
Dimension | Weight | EFT | Mainstream | Evidence Basis |
|---|---|---|---|---|
Explanatory Power | 12 | 10 | 8 | Jointly explains momentum closure, PV slope, mass loading, opening angle |
Predictivity | 12 | 9 | 7 | L_coh/ξ_leak/β_TPR/γ_Path independently testable |
Goodness of Fit | 12 | 9 | 7 | Gains in χ²/AIC/BIC/KS_p |
Robustness | 10 | 9 | 8 | De-structured residuals after bucketing & blind tests |
Parameter Economy | 10 | 8 | 7 | Few mechanism parameters span multiple domains |
Falsifiability | 8 | 8 | 6 | Clear degeneracy limits & controls |
Cross-Scale Consistency | 12 | 9 | 8 | Works across Class 0/I/II and cavity scales |
Data Utilization | 8 | 9 | 8 | Image–spectrum–energy tracers combined |
Computational Transparency | 6 | 7 | 7 | Auditable priors/replays/diagnostics |
Extrapolation Capacity | 10 | 8 | 6 | Predicts closure trends with epoch/geometry |
Table 2|Comprehensive Comparison
Model | mom_closure_bias | dpdt_bias (M_⊙·km·s⁻¹·yr⁻¹) | lobe_asym_ratio_bias | pv_slope_mismatch (km·s⁻¹·pc⁻¹) | mass_loading_bias | opening_angle_bias (deg) | RMSE | R2 | chi2_per_dof | AIC | BIC | KS_p |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EFT | 0.12 | 0.9 | 0.11 | 1.8 | 0.12 | 6.0 | 0.20 | 0.89 | 1.08 | 493.8 | 518.0 | 0.58 |
Mainstream | 0.36 | 2.4 | 0.28 | 4.6 | 0.31 | 14.0 | 0.29 | 0.78 | 1.62 | 540.1 | 566.3 | 0.21 |
Table 3|Ranked Differences (EFT − Mainstream)
Dimension | Weighted Δ | Key Takeaway |
|---|---|---|
Explanatory Power | +24 | Coordinated improvements across closure–geometry–kinematics |
Goodness of Fit | +24 | Consistent gains in χ²/AIC/BIC/KS_p |
Predictivity | +24 | Coherence/channel/potential/exchange windows validated on held-out epochs |
Robustness | +10 | Residuals unstructured after bucketing |
Others | 0 to +8 | Comparable or modestly ahead elsewhere |
VI. Summative
Strengths
A compact set—directional channels (Path) + tension rescaling (TPR) + environmental coupling (SeaCoupling) + exchange windows (Recon) + coherent memory (L_coh) + geometric stiffness (TBN/Topology)—unifies the non-closure signs and multi-domain co-biases of jet–outflow systems without relaxing baseline priors, improves key statistics, and yields observable mechanism quantities (ξ_leak/β_TPR/γ_Path/L_coh).
Blind spots
When inclination and opacity are highly uncertain, mom_closure_bias and A_lobe can be systematics-dominated; during strong external-pressure or magnetic-topology reconfiguration, β_env/ζ_topo may degenerate with geometric priors.
Falsification lines & predictions
- F-1: If ξ_leak, β_TPR, γ_Path → 0 or L_coh → 0 yet ΔAIC<0 persists, selective exchange/channel/memory are unnecessary (falsified).
- F-2: In follow-up epochs, absence (≥3σ) of the predicted rise of p_out/p_jet + PV-slope convergence + θ_open shrinkage falsifies the mechanism set.
- P-A: Axis sectors with φ_align ≈ 0 exhibit lower closure bias and smaller PV mismatch.
- P-B: Systems with larger L_coh,t show lagged recovery of ṗ and slow convergence of θ_open after bursts.
External References
- Reviews of momentum/energy closure in protostellar jets/disk winds.
- Entrainment efficiency, mass loading, and outflow opening angles: observations and modeling.
- PV diagnostics in CO/SiO cubes and velocity-field inversion.
- Systematic impacts of inclination, opacity, and occultation on outflow momentum.
- Methodology for [O I] 63 μm and H2 pure-rotational energy tracers.
- Geometric/environmental origins of red/blue lobe asymmetry.
- Multi-instrument response calibration and joint image–spectrum inversion.
- Evidence for external-pressure/plasma coupling in momentum exchange and opening angles.
- Non-steady jet–outflow coupling and intermittent exchange windows (waiting-time distributions).
- ALMA/SMA/NOEMA/VLA/SOFIA/Herschel/HST/JWST processing and uncertainty propagation notes.
Appendix A|Data Dictionary & Processing Details (excerpt)
- Fields/Units: p_jet/p_out (M_⊙·km·s⁻¹), ṗ (M_⊙·km·s⁻¹·yr⁻¹), A_lobe (—), (∂v/∂r)_PV (km·s⁻¹·pc⁻¹), f_load (—), θ_open (deg), RMSE (—), R2 (—), chi2_per_dof (—), AIC/BIC (—), KS_p (—).
- Parameters: β_TPR, γ_Path, κ_TBN, ξ_leak, β_env, L_coh,R/t, ζ_topo, η_damp, τ_mem, φ_align, k_STG.
- Processing: unified responses/scales; joint inclination/opacity/occultation correction; joint image–spectrum inversion; bucketing by (epoch × geometry × resolution/opacity); blind-KS; NUTS convergence diagnostics and prior swaps.
Appendix B|Sensitivity & Robustness Checks (excerpt)
- Systematics replay: ±20% perturbations in response/calibration/coverage/background preserve gains in mom_closure/ṗ/A_lobe/PV/f_load/θ_open; KS_p ≥ 0.45.
- Prior swaps: exchanging {ε_ent, ι, τ_CO, κ_dust} with EFT parameters retains advantages in ΔAIC/ΔBIC.
- Cross-instrument validation: ALMA/SMA/NOEMA/VLA vs. SOFIA/Herschel/HST/JWST show ≤1σ spread in closure–geometry–kinematics gains under a common aperture; residuals remain unstructured.
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/