https://doi.org/10.1140/epjc/s10052-020-08494-7
Regular Article - Experimental Physics
Evolution of strange and multi-strange hadron production with relative transverse multiplicity activity in underlying event
1
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland
2
Department of Physics, Goa University, Taleigao Plateau, 403206, Goa, India
3
H. Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, 31-342, Krakow, Poland
4
Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, 04510, Mexico D.F., Mexico
a Prabhakar.Palni@cern.ch, Prabhakar.Palni@unigoa.ac.in
Received:
10
July
2020
Accepted:
23
September
2020
Published online:
6
October
2020
In this work, the relative Underlying event (UE) transverse multiplicity activity classifier (
) is used to study the strange and multi-strange hadron production in proton-proton collisions. Our study with 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 
= 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 . This enhancement is significant for the strange baryons as compared to mesons. In addition, the particle ratios as a function of 
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.
© The Author(s) 2020
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3
