Home OALib Journal OALib PrePrints Submit Ranking News My Lib FAQ About Us Follow Us+
 All Title Author Keywords Abstract
 Publish in OALib Journal ISSN: 2333-9721 APC: Only $99  Views Downloads  Relative Articles Scaling Behavior of Granular Particles in a Vibrating Box On the symmetry of three identical interacting particles in a one-dimensional box Relaxation of ideal classical particles in a one-dimensional box Reinvestigation of$pp\to ppπ^0$and$pp\to ppη\$ at threshold Elimination of Ferromagnetic Particles Aggregation for Investigation by Electron Microscopy Bridge between Black Box and White Box – Gray Box Testing Technique INVESTIGATION OF PP-EPR DIBLOCK COPOLYMER AS COMPATIBILIZER FOR PP/EPT BLENDPP-EPR二嵌段共聚物作PP/EPT共混增容剂的探讨 Black Box White Arrow Search for fractionally charged particles in pp collisions at sqrt(s) = 7 TeV Investigation of the Exclusive 3He(e,e'pp) Reaction More...

# PP and PP Multi-Particles Production Investigation Based on CCNN Black-Box Approach

DOI: 10.4236/jamp.2017.56115, PP. 1398-1409

 Full-Text   Cite this paper

Abstract:

The multiplicity distribution (P(nch)) of charged particles produced in a high energy collision is a key quantity to understand the mechanism of multiparticle production. This paper describes the novel application of an artificial neural network (ANN) black-box modeling approach based on the cascade correlation (CC) algorithm formulated to calculate and predict multiplicity distribution of proton-proton (antiproton) (PP and PP ) inelastic interactions full phase space at a wide range of center-mass of energy . In addition, the formulated cascade correlation neural network (CCNN) model is used to empirically calculate the average multiplicity distribution <nch> as a function of . The CCNN model was designed based on available experimental data for = 30.4 GeV, 44.5 GeV, 52.6 GeV, 62.2 GeV, 200 GeV, 300 GeV, 540 GeV, 900 GeV, 1000 GeV, 1800 GeV, and 7 TeV. Our obtained empirical results for P(nch), as well as <nch> for (PP and PP) collisions are compared with the corresponding theoretical ones which obtained from other models. This comparison shows a good agreement with the available experimental data (up to 7 TeV) and other theoretical ones. At full large hadron collider (LHC) energy ( = 14 TeV) we have predicted P(nch) and <nch> which also, show a good agreement with different theoretical models.

References