MARTINI : An event generator for relativistic heavy-ion collisions

By B. Schenke, Charles Gale, Sangyong Jeon. 2009

190 citations recorded by the source corpus.

We introduce the modular algorithm for relativistic treatment of heavy ion interactions (MARTINI), a comprehensive event generator for the hard and penetrating probes in high-energy nucleus-nucleus collisions. Its main components are a time-evolution model for the soft background, PYTHIA 8.1, and the McGill-Arnold, Moore, and Yaffe (AMY) parton-evolution scheme, including radiative as well as elastic processes. This allows us to generate full event configurations in the high p{sub T} region that take into account thermal quantum chromodynamic (QCD) and quantum electrodynamic (QED) effects as well as effects of the evolving medium. We present results for the neutral pion nuclear modification factor in Au+Au collisions at the BNL Relativistic Heavy Ion Collider as a function of p{sub T} for different centralities and also as a function of the angle with respect to the reaction plane for noncentral collisions. Furthermore, we study the production of high-transverse-momentum photons, incorporating a complete set of photon-production channels.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/ed8f872187ca2caa5bcbaf546ee1240c1a8fefd1

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In Nuclear and High Energy Physics

1. I. Moult
2. Benjamin Nachman
3. A. Larkoski
4. J. Casalderrey-Solana
5. K. Zapp
6. E. Iancu
7. F. Krauss
8. U. Wiedemann

Citations in the corpus

• Medium-induced gluon branching (2012, unknown): “[33–35].”
• A hybrid strong/weak coupling approach to jet quenching (2014, unknown): “J H E P 1 0 ( 2 0 1 4 ) 0 1 9 developed by others [55–60].”
• Interference effects in medium-induced gluon radiation (2011, background): “Addressing the relevant angles in either case will ultimately resort on in–medium Monte–Carlo generators, such as [33, 34, 35, 36, 37, 38], which can keep track of all the kinematical and probabilistic effects.”
• A perturbative framework for jet quenching (2012, background): “There have been strong efforts in recent years to overcome these deficiencies in Monte Carlo formulations of medium-modified parton showers [49–56].”
• Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, background): “A variety of parton shower programs are now available which take into account interactions with the medium [443, 444, 445, 446, 447, 448].”