“School of Particles”
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| Paper IPM / Particles / 17752 |
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| Abstract: | |||||||||||||
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In this study, we revisit the extraction of parton-to-$K^0_S$ hadron
fragmentation functions, named \texttt{FF24-}$K^0_S$, 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 {\tt 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 $K^0_S$ production at both NLO and NNLO accuracy
exhibits good agreement with experimental data within their respective
uncertainties.
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