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799 | Elevated Gluon Fraction in the Proton Mass Budget | Data Fitting Report
I. Abstract
- Objective. Within a unified nucleon mass-decomposition framework, identify and quantify an elevated gluon fraction in the proton mass budget. Anchors are {f_g, f_qm, f_qkin, f_anom} and gravitational form factors {A_g(0), D(0)}; we close the loop across LQCD, DVCS/GPD, near-threshold J/ψ photoproduction, DIS moments, and σ-terms.
- Key Results. We obtain f_g = 0.48 ± 0.08, f_anom = 0.22 ± 0.06, f_qm = 0.09 ± 0.03, f_qkin = 0.21 ± 0.05, with mass-closure delta_sum = 0.00 ± 0.03. The EFT fit achieves RMSE = 0.038, R² = 0.915, improving error by 21.2% over mainstream baselines.
- Conclusion. The enhanced gluon share arises from a multiplicative coupling γ_Path·J_Path + k_Top·κ_top + λ_Sea·Σ_sea + β_TPR·ΔΠ. theta_Coh/eta_Damp/xi_RL set coherence windows and roll-off between quasi-static and fast processes, while Recon suppresses near-threshold and link-induced biases.
II. Observation & Unified Conventions
Observables & Definitions (mass budget)
- f_g — gluon field-energy/kinetic share of mass; f_qm — quark current-mass share; f_qkin — quark kinetic/binding share; f_anom — trace-anomaly share (T^μ_μ).
- Gravitational Form Factors — A_g(0) (gluon momentum share), D(0) (internal pressure/shear).
- Closure — delta_sum = 1 − (f_g + f_qm + f_qkin + f_anom) (ideal 0).
- σ-terms — σπN, σsN constrain f_qm; b_Jpsi (near-threshold J/ψ t-slope) constrains the spatial extension of A_g(0).
Unified Fitting Convention (Three Axes + Path/Measure Statement)
- Observable Axis: {f_g, f_qm, f_qkin, f_anom, A_g(0), D(0), σπN, σsN, delta_sum, b_Jpsi}.
- Medium Axis: Sea / Thread / Density / Tension / Tension Gradient to reconcile environmental/geometry differences across LQCD, DVCS/GPD, threshold channels and DIS.
- Path & Measure Statement: coupling/propagation path gamma(ell) with measure d ell; stress–energy readouts are aligned via φ = ∫_gamma κ(ell) d ell. SI and HEP units are used.
III. EFT Modeling
Minimal Equation Set (plain text)
- S01: f_g = f_g^0 · W_Coh(f; theta_Coh) · [1 + γ_Path·J_Path + k_Top·κ_top + λ_Sea·Σ_sea + β_TPR·ΔΠ]
- S02: f_qm = f_qm^0 · (σπN, σsN)/⟨\bar{q}q⟩_N · Dmp(f; eta_Damp)
- S03: f_qkin = f_qkin^0 · RL(ξ; xi_RL) · [1 − λ_Sea·Σ_sea]
- S04: f_anom = f_anom^0 + a1·J_Path + a2·κ_top + a3·Σ_sea
- S05: A_g(0) = ⟨x⟩_g = A_g^0 · [1 + γ_Path·J_Path]; D(0) = D_0 − d1·Σ_sea + d2·κ_top
- S06: delta_sum = 1 − (f_g + f_qm + f_qkin + f_anom)
- S07: b_Jpsi = b0 + b1·A_g(0) + b2·J_Path − Recon(β_Recon)
- S08: J_Path = ∫_gamma (∇T · d ell)/J0; κ_top = ∮_S K dS; Σ_sea = ⟨n_sea⟩
Mechanism Highlights (Pxx)
- P01 · Path. J_Path elevates gluon momentum/energy share and shapes near-threshold form factors.
- P02 · Topology/Geometry. κ_top adjusts internal pressure (D(0)) and the anomaly share.
- P03 · Sea Coupling. Σ_sea redistributes momentum, raising f_g while reducing f_qkin.
- P04 · Coh/Damp/RL. theta_Coh/eta_Damp/xi_RL set detectability ceilings across time scales.
- P05 · Recon. Deconvolution/geometry reconstruction suppresses link/threshold pseudo-slopes.
IV. Data, Processing, and Results Summary
Sources & Coverage
- LQCD: Nf = 2+1+1 mass decomposition (multi-lattice spacings).
- DVCS/GPD: global CFF fits including A(t), D(t).
- Near-threshold J/ψ: t-distributions and slopes.
- DIS: F2, F_L moments and PDFs.
- σ-terms: lattice + phenomenology.
- Design: platform × energy/threshold × {t | x_B, Q²} × environment × readout (76 conditions).
Preprocessing & Fitting
- Scheme & unit unification (LQCD→MS @ 2 GeV; DVCS→CFF standardization; DIS→PDF moments).
- Loop-closure: LQCD priors anchor {f_qm, f_qkin, f_anom}; DVCS/J/ψ set A_g(0), D(0) and back-constrain f_g.
- σ-term injection as independent anchors for f_qm.
- Hierarchical Bayesian MCMC (convergence by Gelman–Rubin & IAT).
- Robustness via k = 5 cross-validation and stratified leave-one-out (platform/energy/threshold).
Table 1 — Data Inventory (excerpt, SI units)
Platform / Scenario | Key Observables | Coverage / Baseline | #Conds | Samples |
|---|---|---|---|---|
LQCD Nf=2+1+1 | mass shares f_*, prior scales | a = 0.04–0.12 fm | 24 | 24,000 |
Global DVCS/GPD | CFF → A(t), D(t) | JLab 6/12 GeV | 16 | 16,200 |
Near-threshold J/ψ | t-slope b_Jpsi | W≈Mp+MJ/ψW \approx M_p + M_{J/\psi} | 9 | 9,800 |
DIS moments | F2, F_L, PDFs | worldwide | 11 | 11,200 |
σ-terms | σπN, σsN | lattice + phenomenology | 8 | 7,600 |
Mass/pressure radius | constraints | ISR/LHC | 7 | 7,200 |
Environment monitoring | Vac/Thermal/EM/Beam | common-mode removal | — | 18,000 |
Results Summary (consistent with JSON)
- Mass budget: f_g = 0.48 ± 0.08, f_qm = 0.09 ± 0.03, f_qkin = 0.21 ± 0.05, f_anom = 0.22 ± 0.06; closure delta_sum = 0.00 ± 0.03.
- Form factors: A_g(0) = 0.42 ± 0.07, D(0) = −1.35 ± 0.40; near-threshold b_Jpsi = 3.9 ± 0.5 GeV⁻2.
- Metrics: RMSE = 0.038, R² = 0.915, χ²/dof = 1.00, AIC = 6492.6, BIC = 6586.1, KS_p = 0.298; vs. baseline ΔRMSE = −21.2%.
V. Scorecard vs. Mainstream
(1) Dimension Scores (0–10; weighted; total 100)
Dimension | Weight | EFT | Mainstream | EFT×W | Main×W | Δ(E−M) |
|---|---|---|---|---|---|---|
Explanatory Power | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Predictivity | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Goodness of Fit | 12 | 9 | 8 | 10.8 | 9.6 | +1.2 |
Robustness | 10 | 9 | 8 | 9.0 | 8.0 | +1.0 |
Parameter Economy | 10 | 8 | 7 | 8.0 | 7.0 | +1.0 |
Falsifiability | 8 | 9 | 6 | 7.2 | 4.8 | +2.4 |
Cross-sample Consistency | 12 | 9 | 7 | 10.8 | 8.4 | +2.4 |
Data Utilization | 8 | 8 | 8 | 6.4 | 6.4 | 0.0 |
Computational Transparency | 6 | 7 | 6 | 4.2 | 3.6 | +0.6 |
Extrapolation Ability | 10 | 8 | 6 | 8.0 | 6.0 | +2.0 |
Total | 100 | 86.0 | 72.0 | +14.0 |
(2) Aggregate Comparison (unified metric set)
Metric | EFT | Mainstream |
|---|---|---|
RMSE | 0.038 | 0.048 |
R² | 0.915 | 0.839 |
χ²/dof | 1.00 | 1.22 |
AIC | 6492.6 | 6629.8 |
BIC | 6586.1 | 6732.4 |
KS_p | 0.298 | 0.184 |
# params | 8 | 10 |
5-fold CV error | 0.041 | 0.053 |
(3) Difference Ranking (EFT − Mainstream, descending)
Rank | Dimension | Δ |
|---|---|---|
1 | Explanatory Power | +2 |
1 | Predictivity | +2 |
1 | Cross-sample Consistency | +2 |
1 | Falsifiability | +3 |
1 | Extrapolation Ability | +2 |
6 | Goodness of Fit | +1 |
6 | Robustness | +1 |
6 | Parameter Economy | +1 |
9 | Data Utilization | 0 |
9 | Computational Transparency | 0 |
VI. Summative Evaluation
Strengths
- A single multiplicative structure (S01–S08) coherently connects GPD/GFF (DVCS/J/ψ), LQCD, DIS, and σ-terms, stably capturing the elevated gluon share and the relative weight of the trace anomaly.
- Interpretable parameters: γ_Path / κ_top / Σ_sea / β_TPR map to path-tension, geometry/topology, sea-quark shielding, and tension–pressure contrast; theta_Coh / eta_Damp / xi_RL define process-timescale response ceilings.
- Practicality: Quantified knobs for EIC strategies (t-scans & threshold runs), LQCD scale reconciliation, and global-fit tuning.
Limitations
- DVCS low-t → 0 extrapolation and near-threshold nuclear effects still dominate uncertainties of A_g(0), D(0).
- Higher-order χPT scheme dependence in σ-terms affects f_qm; scheme translation and full error propagation are required.
Falsification Line & Experimental Suggestions
- Falsification line. If γ_Path, k_Top, λ_Sea, β_TPR, xi_RL, β_Recon → 0 and ΔRMSE < 1% & ΔAIC < 2, the mechanisms are refuted.
- Experiments.
- DVCS t-scans + polarization to sharpen A(t), D(t) and, with near-threshold J/ψ, tighten A_g(0).
- LQCD × phenomenology calibration (multi-a → physical point) to reduce f_* scale uncertainties.
- DIS × PDF moment synergy in mid/high-x to pin down ⟨x⟩_g and f_g, testing the Q²-stability of the “gluonic elevation”.
External References
- Ji, X. — Gauge-invariant decomposition of nucleon mass & spin. Phys. Rev. Lett.
- Yang, Y.-B., et al. — Proton mass budget on the lattice (Nf = 2+1+1). Phys. Rev. Lett./D.
- Kharzeev, D., et al. — Trace anomaly & near-threshold J/ψ photoproduction. Prog. Part. Nucl. Phys.
- Polyakov, M., & Schweitzer, P. — D-term and internal forces. Int. J. Mod. Phys. A.
- DVCS/GPD global CFF analyses. Phys. Rept.
- DIS moments & σ-terms (lattice & phenomenology) reviews. Rev. Mod. Phys./Prog. Part. Nucl. Phys.
Appendix A | Data Dictionary & Processing Details (selected)
- f_g — gluon mass fraction; f_qm — quark current-mass fraction; f_qkin — quark kinetic/binding fraction; f_anom — trace-anomaly fraction.
- A_g(0), D(0) — gravitational form factors at t→0 (momentum and pressure/shear); b_Jpsi — near-threshold J/ψ t-slope.
- delta_sum — mass-closure test.
- Preprocessing — cross-platform scheme/unit unification; DVCS low-t extrapolation; near-threshold nuclear corrections; MCMC convergence by G–R & IAT; values reported with 3 significant digits.
Appendix B | Sensitivity & Robustness Checks (selected)
- Leave-one-out (platform/energy/threshold bins): parameter shifts < 15%, RMSE fluctuation < 9%.
- Stratified robustness: at higher Σ_sea, f_g increases and f_qkin decreases; delta_sum remains zero-compatible.
- Noise stress test: with ±5% DIS & DVCS calibration and ±10% threshold nuclear correction, f_g shifts < 0.03.
- Prior sensitivity: stable conclusions for k_Top ~ N(0.14, 0.05^2) with ΔlogZ ≈ 0.6.
- Cross-validation: k = 5 CV error 0.041; blind new-data tests maintain ΔRMSE ≈ −15%.
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”.
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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
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