DRAGON: Monte Carlo generator of particle production from a fragmented fireball in ultrarelativistic nuclear collisions

Abstract

A Monte Carlo generator of the final state of hadrons emitted from an ultrarelativistic nuclear collision is introduced. An important feature of the generator is a possible fragmentation of the fireball and emission of the hadrons from fragments. Phase space distribution of the fragments is based on the blast wave model extended to azimuthally non-symmetric fireballs. Parameters of the model can be tuned and this allows to generate final states from various kinds of fireballs. A facultative output in the OSCAR1999A format allows for a comprehensive analysis of phase-space distributions and/or use as an input for an afterburner.

name of the model changed from QuaG to DRAGON in the new version, otherwise only cosmetic changes, uses elsart.cls, the software package described here can be downloaded from http://www.fpv.umb.sk/~tomasik/soft.html

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Cited by in corpus (19)

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• Global constraint on the magnitude of anomalous chiral effects in heavy-ion collisions
• Interpreting the charge-dependent flow and constraining the chiral magnetic wave with event shape engineering
• Kinetic freeze-out in central heavy-ion collisions between 7.7 and 2760 GeV per nucleon pair
• Forward-backward multiplicity correlations in relativistic heavy-ion collisions in a superposition approach
• Production of Kaon and $\Lambda$ in nucleus-nucleus collisions at ultra-relativistic energy from a blast wave model
• The Shape of the Correlation Function
• Cosmic-ray transport and gamma-ray emission in M31
• Production and ratio of $\pi$, K, p and $\Lambda$ in Pb + Pb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
• Rapidity correlations of protons from a fragmented fireball
• The use of Kolmogorov-Smirnov test in event-by-event analysis
• Blast wave fits with resonances to $p_t$ spectra from nuclear collisions at the LHC
• Observables of non-equilibrium phase transition
• Fluctuating shapes of the fireballs in heavy-ion collisions
• Prospects of Event Shape Sorting