UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

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2024-11-22 1:27

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Conference: Bucharest University Faculty of Physics 2024 Meeting


Section: Nuclear and Elementary Particles Physics


Title:
Production of Drell-Yan bosons in p-p collisions at sqrt{s}=13 TeV


Authors:
Roxana Maria MOCANU (1,2), Alexandru JIPA (1), Florin MACIUC (2)


Affiliation:
1) University of Bucharest, Faculty of Physics, Bucharest-Măgurele, P.O. Box MG 11, 077125, Romania

2) National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH)


E-mail
roxana.mocanu@s.unibuc.ro


Keywords:
event generators, Z boson


Abstract:
The Standard Model elegantly describes the electromagnetic, weak, and strong forces, mediated by photons, W and Z bosons, and gluons, respectively. Among these, the electroweak theory stands as a pivotal achievement, unifying the electromagnetic and weak forces into a single theoretical framework. The Drell-Yan process is the process in which a quark and an antiquark annihilate, producing a Z boson or a gamma that subsequently decays into lepton-antilepton pairs. In this work, we present a comparative study of a Drell-Yan simulated process in p-p collisions at an LHC energy of sqrt{s}=13 TeV using two general-purpose Monte Carlo event generators, PYTHIA and Herwig, and data from HEPData of two measurements, one from LHCb [1] and one from CMS [2]. Both the minimum bias event and the Z production event were studied and compared, with analyses on transverse momentum, rapidity, pseudorapidity and multiplicity distributions, cross sections in LHCb and CMS acceptances, and final state particle distributions and ratios, such as baryon-to-meson ratio. Since Z bosons are unable to transport color charges, the properties of the underlying event can be studied effectively through the Drell–Yan process. The simulations were realized both for LO (leading order) and for NLO (next-to-leading order) precision. The results have shown that LO calculations presented a good distribution shape, but only NLO calculations gave cross section values close to experimental data. Various tunes were also used for PYTHIA to highlight the importance of tune parameters.


References:

[1] R. Aaij, et al, (LHCb Collaboration), JHEP 07 (2022) 026.

[2] V. Drugakov, et al., (CMS Collaboration), JHEP 12 (2019) 061.