Determination of unpolarized pion fragmentation functions using semi-inclusive deep-inelastic-scattering data

Autor: Emanuele R. Nocera, V. Bertone, Rabah Abdul Khalek
Přispěvatelé: Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, MAP (Multi-dimensional Analyses of Partonic distributions), (Astro)-Particles Physics
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Phys.Rev.D
Phys.Rev.D, 2021, 104 (3), pp.034007. ⟨10.1103/PhysRevD.104.034007⟩
Abdul Khalek, R, Bertone, V & Nocera, E R 2021, ' Determination of unpolarized pion fragmentation functions using semi-inclusive deep-inelastic-scattering data ', Physical Review D, vol. 104, no. 3, 034007, pp. 1-16 . https://doi.org/10.1103/PhysRevD.104.034007
Physical Review
Physical Review D, 104(3):034007, 1-16. American Physical Society
ISSN: 2470-0010
DOI: 10.1103/PhysRevD.104.034007⟩
Popis: International audience; We present mapff1.0, a determination of unpolarized charged-pion fragmentation functions (FFs) from a set of single-inclusive e+e- annihilation and lepton-nucleon semi-inclusive deep-inelastic-scattering (SIDIS) data. FFs are parametrized in terms of a neural network and fitted to data exploiting the knowledge of the analytic derivative of the neural network itself with respect to its free parameters. Uncertainties on the FFs are determined by means of the Monte Carlo sampling method properly accounting for all sources of experimental uncertainties, including that of parton distribution functions. Theoretical predictions for the relevant observables, as well as evolution effects, are computed to next-to-leading order accuracy in perturbative QCD. We exploit the flavor sensitivity of the SIDIS measurements delivered by the HERMES and COMPASS experiments to determine a minimally biased set of seven independent FF combinations. Moreover, we discuss the quality of the fit to the SIDIS data with low virtuality Q2 showing that, as expected, low-Q2 SIDIS measurements are generally harder to describe within a next-to-leading-order-accurate perturbative framework.
Databáze: OpenAIRE