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dc.titleChou-Yang model for Forward-Backward multiplicity correlations at 7 TeV using generalized multiplicity distribution
dc.contributor.authorPhang, S.W.
dc.contributor.authorChan, A.H.
dc.contributor.authorOh, C.H.
dc.contributor.authorYuen, E.
dc.contributor.authorOng, Z.
dc.contributor.authorLeong, Q.X.
dc.contributor.editorYang, A.
dc.contributor.editorWang, W.Y.
dc.contributor.editorNg, S.C.C.
dc.contributor.editorChan, A.H.
dc.contributor.editorOh, C.H.
dc.contributor.editorPhua, K.K.
dc.identifier.citationPhang, S.W., Chan, A.H., Oh, C.H., Yuen, E., Ong, Z., Leong, Q.X. (2018). Chou-Yang model for Forward-Backward multiplicity correlations at 7 TeV using generalized multiplicity distribution. Proceedings - 48th International Symposium on Multiparticle Dynamics, ISMD 2018 : 9005. ScholarBank@NUS Repository.
dc.description.abstractThe basis of the Chou-Yang model is made up of a stochastic and non-stochastic distribution and has been successful in describing forward-backward multiplicities.[1] This project examines data drawn from CERN’s 7 TeV run where we revist the Chou-Yang model’s components. It also approaches phenomenological descriptions for cluster sizes from forward-backward multiplicaity correlation strength by the E735 collaboration.[6] For the stochastic binomial component, it examines the variance of the charge asymmetry parameter z with regards to fixed total charged multiplicities n. The fitting of the Generalized Multiplicity distribution along with the linear least square fitting of the forward backward multiplicity is analysed. The parameters for the Generalized Multiplicity Distribution is presented along with an investigation on the cluster size r.[3] This serves as an extention to the work done by W.Y Wang’s Weighted GMD model at 7 TeV, however the nonweighted GMD model is used here.[7] © The Authors, published by EDP Sciences.
dc.rightsAttribution 4.0 International
dc.sourceScopus OA2018
dc.typeConference Paper
dc.contributor.departmentDEPT OF PHYSICS
dc.description.sourcetitleProceedings - 48th International Symposium on Multiparticle Dynamics, ISMD 2018
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