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Evolution of strange and multi-strange hadron production with relative transverse multiplicity activity in underlying event

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dc.contributor.author Palni, P.
dc.contributor.author Khuntia, A.
dc.contributor.author Bartalini, P.
dc.date.accessioned 2020-10-13T04:51:20Z
dc.date.available 2020-10-13T04:51:20Z
dc.date.issued 2020
dc.identifier.citation The European Physical Journal C. 80(10); 2020; ArticleID_919. en_US
dc.identifier.uri https://doi.org/10.1140/epjc/s10052-020-08494-7
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/6236
dc.description.abstract In this work, the relative Underlying event (UE) transverse multiplicity activity classifier (R sub(T)) is used to study the strange and multi-strange hadron production in proton-proton collisions. Our study with R sub(T) would allow to disentangle these particles, which are originating from the soft and hard QCD processes. We have used the PYTHIA 8 Monte-Carlo (MC) with a different implementation of color reconnection and rope hadronization models to demonstrate the proton-proton collisions data at square root s = 13 TeV. The relative production of strange and multi-strange hadrons are discussed extensively in low and high transverse activity regions. In this contribution, the relative strange hadron production is enhanced with increasing R sub(T). This enhancement is significant for the strange baryons as compared to mesons. In addition, the particle ratios as a function of R sub(T) confirm the baryon enhancement in new Color Reconnection (newCR), whereas the Rope model confirms the baryon enhancement only with strange quark content. Experimental confirmation of such results will provide more insight into the soft physics in the transverse region, which will be useful to investigate various tunes based on hadronization and color reconnection schemes. en_US
dc.publisher Springer en_US
dc.subject Physics en_US
dc.title Evolution of strange and multi-strange hadron production with relative transverse multiplicity activity in underlying event en_US
dc.type Journal article en_US
dc.identifier.impf y


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