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Charmed-Meson Fragmentation Functions with Finite-Mass Corrections

Published 4 Dec 2007 in hep-ph | (0712.0481v2)

Abstract: We elaborate the inclusive production of single heavy-flavored hadrons in e+e- annihilation at next-to-leading order in the general-mass variable-flavor-number scheme. In this framework, we determine non-perturbative fragmentation functions for D0, D+, and D{*+} mesons by fitting experimental data from the Belle, CLEO, ALEPH, and OPAL Collaborations, taking dominant electroweak corrections due to photonic initial-state radiation into account. We assess the significance of finite-mass effects through comparisons with a similar analysis in the zero-mass variable-flavor-number scheme. Under Belle and CLEO experimental conditions, charmed-hadron mass effects on the phase space turn out to be appreciable, while charm-quark mass effects on the partonic matrix elements are less important.

Citations (163)

Summary

Overview of Charmed-Meson Fragmentation Functions with Finite-Mass Corrections

The paper titled "Charmed-Meson Fragmentation Functions with Finite-Mass Corrections" by Kneesch et al. discusses the determination and analysis of fragmentation functions (FFs) for charmed mesons in ( e+e- ) annihilation events. These FFs are crucial for modeling how a high-energy parton becomes a hadron, specifically focusing on ( D0 ), ( D+ ), and ( D{*+} ) mesons. The research is conducted at next-to-leading order (NLO) within the general-mass variable-flavor-number scheme, incorporating electroweak corrections due to photonic initial-state radiation.

Key Aspects of the Study

  • Finite-Mass Corrections: The study evaluates the significance of finite-mass effects in charmed-meson fragmentation, contrasting it with the zero-mass approximation commonly employed. They found that while charm-quark mass effects on partonic matrix elements are less significant, the meson mass effects on phase space are appreciable under experimental conditions from Belle and CLEO.

  • Dataset and Methodology: The authors fitted experimental data from the Belle, CLEO, ALEPH, and OPAL collaborations to obtain non-perturbative FFs. The analysis at different collider energies—from the ( B )-factory closer to charm-threshold energies (( \sqrt{s} = 10.52 \, \text{GeV} )) to data at the ( Z )-boson resonance (( \sqrt{s} = 91.2 \, \text{GeV} ))—offered a wide span to probe the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) evolution of FFs.

  • Fragmentation Function Models: FFs were parameterized using Bowler’s form due to its previous efficacy in describing charmed-meson production at the energy scale under consideration. This involved setting the initial conditions for charm and bottom quark FFs at their respective pole masses, ( m_c ) and ( m_b ).

Numerical Results and Claims

  • Fragmentation Function Evolution: Through the course of their analysis, the authors observed that the DGLAP evolution leads to shifts in scaling variables as the energy scale changes. They report several alternative FF sets from global fits and separate fits to the ( B )- and ( Z )-factory data in both GM and ZM schemes.

  • Comparison of Schemes: A notable claim is that with finite-mass corrections included, the (\overline{\chi2}) values for global fits reduce by 11–16%, suggesting a more accurate description of data against the ZM approach.

Implications and Speculations

The research carries important implications for theoretical predictions in heavy quark production and fragmentation studies in high-energy particle physics. The detailed comparison between GM and ZM approaches provides insights into the conditions under which mass corrections become relevant, impacting both theoretical computations of cross sections and practical interpretations of experimental data. These FFs can significantly enhance the accuracy of simulations in hadron collider experiments, direct applications of the parameterizations and results into various Monte Carlo event generators used ubiquitously in particle physics research.

Looking toward future developments, improving the accuracy of FFs under different collider conditions can refine our understanding of hadronization processes with AI playing a role in optimization techniques for fits or making predictive analyses on FF behaviors across unexamined energy domains. As methodologies advance, integrating AI-driven models could offer novel probabilities in predicting FF shapes and their evolution characteristics.

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