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In this paper, we present a QCD analysis to extract the FragmentationFunctions (FFs) of unidentified light charged hadron entitled as SHK22.h fromhigh-energy lepton-lepton annihilation and lepton-hadron scattering data sets.This analysis includes the data from all available single inclusiveelectron-positron annihilation (SIA) processes and semi-inclusivedeep-inelastic scattering (SIDIS) measurements for the unidentified lightcharged hadron productions. The SIDIS data which has been measured by theCOMPASS experiment could allow the flavor dependence of the FFs to be wellconstrained. We exploit the analytic derivative of the Neural Network (NN) forfitting of FFs at next-to-leading-order (NLO) accuracy in the perturbative QCD(pQCD). The Monte Carlo method is implied for all sources of experimentaluncertainties and the Parton distribution functions (PDFs) as well. Very goodagreements are achieved between the SHK22.h FFs set and the most recent QCDfits available in literature, namely JAM20 and NNFF1.1h. In addition, wediscuss the impact arising from the inclusion of SIDIS data on the extractedlight-charged hadron FFs. The global QCD resulting at NLO for charged hadronFFs provides valuable insights for applications in present and futurehigh-energy measurement of charged hadron final state processes.

Neural Network QCD analysis of charged hadron Fragmentation Functions in the presence of SIDIS data