Abstract
ABSTRACTThe transverse momentum (pT) distributions (or spectra) of charged particles produced in high and ultra-high energy proton–proton (pp) collisions are studied by the neuro-fuzzy model. The objective of the present work is developing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for calculating and predicting the transverse momentum spectra of charged particles as a function of pT and the center-of-mass energy (), as well as the modeling of the average transverse momentum ⟨pT⟩ as a function of , i.e., we have proposed and developed two models. The ANFIS models were designed based on available experimental data for = 53 GeV, 200 GeV, 546 GeV, 900 GeV, 1800 GeV, 2360 GeV and 7 TeV. The empirical results from the developed ANFIS models for pT distributions, as well as ⟨pT⟩ for pp collisions are compared with the theoretical ones which are obtained from other models. The comparison results show a great deal of agreement between the available experimental data (up to 7 TeV) and the theoretical ones. At full large hadron collider (LHC) energy ( = 14 TeV), we have predicted the pT spectra and ⟨pT⟩ which also, show a good agreement with different models.
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