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Determination of alpha_s from scaling violations of truncated moments of structure functions

Stefano Forte, Jose I. Latorre, Lorenzo Magnea, Andrea Piccione

TL;DR

This study addresses the precision extraction of the QCD coupling $\alpha_s(M_Z)$ from scaling violations in deep inelastic scattering by circumventing biases from parton parametrizations. It combines truncated Mellin moments of the nonsinglet structure function $F_2^{NS}$ with a neural-network representation of $F_2$ to preserve full experimental error information and correlations, enabling a bias-free determination of $\alpha_s$ from scaling violations. The authors obtain $\alpha_S(M_Z)=0.124^{+0.004}_{-0.007}$ (exp) $^{+0.003}_{-0.004}$ (th) = $0.124^{+0.005}_{-0.008}$ (total), with theoretical uncertainties well controlled and the dominant error coming from statistics. The work demonstrates a powerful approach that integrates evolution of truncated moments with a probabilistic, data-driven description of structure functions, offering a template for future high-precision extractions and potential soft-gluon resummation refinements. Overall, the paper provides a bias-minimized, methodologically rigorous path to extracting fundamental QCD parameters from DIS data.

Abstract

We determine the strong coupling alpha_s(M_Z) from scaling violations of truncated moments of the nonsinglet deep inelastic structure function F_2. Truncated moments are determined from BCDMS and NMC data using a neural network parametrization which retains the full experimental information on errors and correlations. Our method minimizes all sources of theoretical uncertainty and bias which characterize extractions of alpha_s from scaling violations. We obtain alpha_s(M_Z) = 0.124 +0.004-0.007 (exp.) + 0.003- 0.004 (th.).

Determination of alpha_s from scaling violations of truncated moments of structure functions

TL;DR

This study addresses the precision extraction of the QCD coupling from scaling violations in deep inelastic scattering by circumventing biases from parton parametrizations. It combines truncated Mellin moments of the nonsinglet structure function with a neural-network representation of to preserve full experimental error information and correlations, enabling a bias-free determination of from scaling violations. The authors obtain (exp) (th) = (total), with theoretical uncertainties well controlled and the dominant error coming from statistics. The work demonstrates a powerful approach that integrates evolution of truncated moments with a probabilistic, data-driven description of structure functions, offering a template for future high-precision extractions and potential soft-gluon resummation refinements. Overall, the paper provides a bias-minimized, methodologically rigorous path to extracting fundamental QCD parameters from DIS data.

Abstract

We determine the strong coupling alpha_s(M_Z) from scaling violations of truncated moments of the nonsinglet deep inelastic structure function F_2. Truncated moments are determined from BCDMS and NMC data using a neural network parametrization which retains the full experimental information on errors and correlations. Our method minimizes all sources of theoretical uncertainty and bias which characterize extractions of alpha_s from scaling violations. We obtain alpha_s(M_Z) = 0.124 +0.004-0.007 (exp.) + 0.003- 0.004 (th.).

Paper Structure

This paper contains 19 sections, 34 equations, 4 figures, 7 tables.

Figures (4)

  • Figure 1: NMC and BCDMS kinematic range.
  • Figure 2:
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  • Figure 4: