Function mining for the -N ch correlations in pp and pp(bar) collisions based on symbolic regression

Authors : Elsayed ELDAHSHAN

Pages : 273-282

View : 23 | Download : 9

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :  The investigation and analysis of the correlation between the mean transverse momentum insert ignore into journalissuearticles values(< P T ` role=`presentation`> P T P T P_{T} >); of charged particles and the charged particle multiplicity insert ignore into journalissuearticles values( N c h ` role=`presentation`> N c h N c h N_{ch} ); allow physicists to understand the contribution of multiple-parton interactions to the particle production mechanism. A symbolic regression insert ignore into journalissuearticles values(SR); method, based on gene expression programming insert ignore into journalissuearticles values(GEP);, is proposed for mining a function that describes the < P T ` role=`presentation`> P T P T P_{T} >- N c h ` role=`presentation`> N c h N c h N_{ch} correlation in proton-proton and proton-antiproton insert ignore into journalissuearticles values(pp and ppinsert ignore into journalissuearticles values(bar);); collisions at collision energies from IRS to LHC. The discovered function simulates and models the correlation between < P T ` role=`presentation`> P T P T P_{T} > and N c h ` role=`presentation`> N c h N c h N_{ch} in wide energy range s 1 / 2 ` role=`presentation`> s 1 / 2 s 1 / 2 s^{1/2} . In the framework of the proposed GEP model for < P T ` role=`presentation`> P T P T P_{T} > − N c h ` role=`presentation`> − N c h − N c h -N_{ch} correlation, the equation obtained describes the main features of the experimental data. Predictions for < P T ` role=`presentation`> P T P T P_{T} > − N c h ` role=`presentation`> − N c h − N c h -N_{ch} correlations at the future LHC collision energy of 14 TeV are obtained. The accuracy of the calculated and predicted results is assessed by comparing them with the available experimental data and the theoretical ones.
Keywords : Modeling and simulation, pp bar, and pp collisions, charged multiplicity, transverse momentum, correla tions, symbolic regression, function mining