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Related papers: THERMINATOR 2: THERMal heavy IoN generATOR 2

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Understanding the production of quarks and gluons in high energy collisions and their evolution is a very active area of investigation. Monte carlo event generator PYTHIA8 uses the parton shower model to simulate such collisions and is…

High Energy Physics - Phenomenology · Physics 2021-02-26 S. K. Kundu , T. Sarkar , M. Maity

The study of photon-induced reactions in collisions of heavy nuclei at RHIC and the LHC has become an important direction of the research program of these facilities in recent years. In particular, the production of vector mesons in…

Nuclear Theory · Physics 2020-06-24 M. Broz , J. G. Contreras , J. D. Tapia Takaki

Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC. In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on…

High Energy Physics - Phenomenology · Physics 2020-02-19 Johannes Bellm , Leif Gellersen

This paper presents an overview of Monte Carlo(MC) event generators for simulation of proton-proton collisions along with the results on hadron production at Nuclotron-based Ion Collider fAcility (NICA) energies. Namely, mean…

High Energy Physics - Phenomenology · Physics 2023-10-31 Maxim Azarkin , Martin Kirakosyan

A Monte Carlo event generator has been developed assuming thermal production of hadrons. The system under consideration is sampled grand canonically in the Boltzmann approximation. A re-weighting scheme is then introduced to account for…

Nuclear Theory · Physics 2009-12-14 M. Hauer , S. Wheaton

The thermal model is commonly used in two different ways for the description of hadron production in ultra-relativistic heavy ion collision. One is the application of the thermal model to 4pi integrated data and the other is the thermal…

Nuclear Theory · Physics 2008-11-26 J. Sollfrank

Statistical fluctuations in the transverse distribution of sources in relativistic heavy ion collisions and an asymmetric emission profile associated with the wounded nucleons lead to rapidity dependence of the reaction plane. The size of…

Nuclear Theory · Physics 2012-04-24 Joao Moreira , Piotr Bozek , Wojciech Broniowski

We present the first theoretical investigation of Fox-Wolfram moments (FWMs) for multi-jet production in relativistic heavy ion collisions. In this work, jet productions in p+p collisions are computed with a Monte Carlo event generator…

High Energy Physics - Phenomenology · Physics 2025-09-22 Wei-Xi Kong , Ben-Wei Zhang

In this paper the current release of the Monte Carlo event generator Sherpa, version 1.1, is presented. Sherpa is a general-purpose tool for the simulation of particle collisions at high-energy colliders. It contains a very flexible…

High Energy Physics - Phenomenology · Physics 2009-02-12 T. Gleisberg , S. Hoeche , F. Krauss , M. Schoenherr , S. Schumann , F. Siegert , J. Winter

The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be required to constrain the statistical uncertainties of the…

Thermal-FIST (Thermal, Fast and Interactive Statistical Toolkit) is a C++ package designed for a convenient general-purpose physics analysis within the family of hadron resonance gas (HRG) models. This mainly includes the statistical…

Nuclear Theory · Physics 2019-08-29 Volodymyr Vovchenko , Horst Stoecker

We present HEJ 2, a new implementation of the High Energy Jets formalism for high-energy resummation in hadron-collider processes as a flexible Monte Carlo event generator. In combination with a conventional fixed-order event generator, HEJ…

High Energy Physics - Phenomenology · Physics 2020-12-16 Jeppe R. Andersen , Tuomas Hapola , Marian Heil , Andreas Maier , Jennifer Smillie

Protons and heavy-ion beams at unprecedented energies are brought into collisions in the CERN Large Hadron Collider for high-energy experiments. The LHC multi-stage collimation system is designed to provide protection against regular and…

Accelerator Physics · Physics 2020-11-11 N. Fuster-Martínez

We present a novel Monte-Carlo implementation of the EKRT model, MC-EKRT, for computing partonic initial states in high-energy nuclear collisions. Our new MC-EKRT event generator is based on collinearly factorized, dynamically fluctuating…

High Energy Physics - Phenomenology · Physics 2024-06-26 Mikko Kuha , Jussi Auvinen , Kari J. Eskola , Henry Hirvonen , Yuuka Kanakubo , Harri Niemi

We present version 2.2 of the High Energy Jets (HEJ) Monte Carlo event generator for hadronic scattering processes at high energies. The new version adds support for two further processes of central phenomenological interest, namely the…

We describe a Monte Carlo event generator for the production and decay of first and second string resonances through 2 $\rightarrow$ 2 partonic and also 2-parton $\rightarrow$ $\gamma$-parton scatterings in proton-proton collisions -…

High Energy Physics - Phenomenology · Physics 2018-11-26 Pourya Vakilipourtakalou , Douglas M. Gingrich

A second major LHCb detector upgrade will be installed during long shutdown 4 (LS4) of the CERN Large Hadron Collider. The new detector will provide excellent performance for studies of Quantum Chromodynamics at high temperature and…

High Energy Physics - Experiment · Physics 2025-04-01 LHCb collaboration

Theoretical predictions in high energy physics are routinely provided in the form of Monte Carlo generators. Comparisons of predictions from different programs and/or different initialization set-ups are often necessary. MC-TESTER can be…

High Energy Physics - Phenomenology · Physics 2011-01-17 N. Davidson , P. Golonka , T. Przedzinski , Z. Was

Glauber models are used to calculate geometric quantities in the initial state of heavy ion collisions, such as impact parameter, number of participating nucleons and initial eccentricity. Experimental heavy-ion collaboration, in particular…

Nuclear Experiment · Physics 2019-01-15 C. Loizides , J. Nagle , P. Steinberg
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