Introducing HIJING++: The heavy ion Monte Carlo generator for the high-luminosity LHC era

Gábor Bíró, G. Barnaföldi, G. Papp, Miklos Gyulassy, P. Lévai, Xin Nian Wang, Ben Wei Zhang

Research output: Conference article

Abstract

Beyond 2025 we will enter the High-Luminosity era of the LHC, right after the upgrades of the third Long Shutdown of the Large Hadron Collider (LHC). The ongoing state-of-the-art experimental instrument upgrades require high-performance simulation support in the background, that is modern, robust, and comes with long term support. The original FORTRAN based HIJING (Heavy Ion Jet INteraction Generator) has been used intensively since almost three decades by the high energy physics and heavy-ion community. However, it is getting overly challenging to conform to these new requirements. Our novel Monte Carlo event generator, the HIJING++ is the successor of the old FORTRAN version containing all the physics that its predecessor have. Moreover, among others a flexible module handling layer and an analysis interface is also introduced. This latter supports the most popular event container formats such as simple ascii, ROOT and the HepMC format, together with RIVET support. In this paper we compare the pre-release results of HIJING++ with proton-proton experimental data and Pythia8 calculations.

Original languageEnglish
JournalProceedings of Science
Volume345
Publication statusPublished - jan. 1 2018
Event2018 International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions, Hard Probes 2018 - Aix-Les-Bains, Savoie, France
Duration: szept. 30 2018okt. 5 2018

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heavy ions
generators
luminosity
FORTRAN
format
interactions
shutdowns
physics
protons
containers
modules
requirements
simulation
energy

ASJC Scopus subject areas

  • General

Cite this

Introducing HIJING++ : The heavy ion Monte Carlo generator for the high-luminosity LHC era. / Bíró, Gábor; Barnaföldi, G.; Papp, G.; Gyulassy, Miklos; Lévai, P.; Wang, Xin Nian; Zhang, Ben Wei.

In: Proceedings of Science, Vol. 345, 01.01.2018.

Research output: Conference article

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AU - Barnaföldi, G.

AU - Papp, G.

AU - Gyulassy, Miklos

AU - Lévai, P.

AU - Wang, Xin Nian

AU - Zhang, Ben Wei

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