Determination of KS0 fragmentation functions including BESIII measurements and using neural networks

Author:

Soleymaninia Maryam1ORCID,Hashamipour Hadi21,Salajegheh Maral3ORCID,Khanpour Hamzeh451ORCID,Spiesberger Hubert6ORCID,Meißner Ulf-G.378ORCID

Affiliation:

1. Institute for Research in Fundamental Sciences (IPM)

2. Istituto Nazionale di Fisica Nucleare, Gruppo collegato di Cosenza

3. Universität Bonn

4. AGH University

5. University of Science and Technology of Mazandaran

6. Johannes-Gutenberg-Universität

7. Forschungszentrum Jülich

8. Tbilisi State University

Abstract

In this study, we revisit the extraction of parton-to-KS0 hadron fragmentation functions, named FF24-KS0, focusing on both next-to-leading-order and next-to-next-to-leading-order accuracy in perturbative QCD. Our approach involves the analysis of single inclusive electron-positron annihilation (SIA) data. The two key improvements are, on the one hand, the incorporation of the latest experimental data from the BESIII experiment and, on the other hand, the adoption of neural networks in the fitting procedure. To address experimental uncertainties, the Monte Carlo method is employed. Our investigation also explores the impact of hadron mass corrections on the description of SIA data, spanning a broad kinematic regime with a particular emphasis on the range of small z values. The theory prediction for KS0 production at both NLO and NNLO accuracy exhibits good agreement with experimental data within their respective uncertainties. Published by the American Physical Society 2024

Funder

Narodowa Agencja Wymiany Akademickiej

Deutsche Forschungsgemeinschaft

Chinese Academy of Sciences

IDUB programme

Publisher

American Physical Society (APS)

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