2003/09/23 by Ali N. Khorramian, Khorramian, Ali N., A. Mirjalili +3
Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies #Stochastic processes and financial applications #hep-ph
paper · pdf · doi:10.48550/arxiv.hep-ph/0309258
Contribution to the International Workshop on QCD: QCD@Work 2003 -Conversano (Italy) 14-18 June 2003 (eConf C030614)
arxiv created 2003/09/23 · openalex publication_date 2003/09/23 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper polarized valon distribution is derived from unpolarized valon distribution. In driving polarized valon distribution some unknown parameters exist which must be determined by fitting to experimental data. Here we have used Bernstein polynomial method to fit QCD predictions for the moments of g1p structure function, to suitably the constructed appropriate average quantities of the E143 and SMC experimental data. After calculating polarized valon distributions and all parton distributions in a valon, polarized parton density in a proton are available. The results are used to evaluate the spin components of proton. It turns out that the results of polarized structure function are in good agreement with all available experimental data on g1p of proton.