2009
DOI: 10.1016/j.cpc.2008.07.016
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GLISSANDO: GLauber Initial-State Simulation AND mOre…

Abstract: We present a Monte-Carlo generator for a variety of Glauber-like models (the wounded-nucleon model, binary collisions model, mixed model, model with hot spots). These models describe the early stages of relativistic heavy-ion collisions, in particular the spatial distribution of the transverse energy deposition which ultimately leads to production of particles from the interaction region. The original geometric distribution of sources in the transverse plane can be superimposed with a statistical distribution … Show more

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Cited by 200 publications
(278 citation statements)
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“…(1) The initial state is generated by GLISSANDO [30,31]. We use a mixed model of wounded nucleons and binary collisions with a weight coefficient α choosing its value of α = 0.24 because it successfully describes the experimentally observed correlation between multiplicity and centrality.…”
Section: Integrated Hydrokinetic Modelmentioning
confidence: 99%
“…(1) The initial state is generated by GLISSANDO [30,31]. We use a mixed model of wounded nucleons and binary collisions with a weight coefficient α choosing its value of α = 0.24 because it successfully describes the experimentally observed correlation between multiplicity and centrality.…”
Section: Integrated Hydrokinetic Modelmentioning
confidence: 99%
“…These mean that one needs to point out working with the code a cross section of inelastic nucleon-nucleon collisions at a given energy of the collisions, and nuclei from a defined list. Some drawbacks of the code were erased in the paper [3].…”
Section: Main Ingredients Of Glauber Approachmentioning
confidence: 99%
“…The Gaussian form from [152,154] was used for the amplitude and for the nuclear density the Woods-Saxon distribution for intermediate and heavy nuclei and the Gaussian form for light nuclei was used, with parameters from the paper [157]. Details of the calculations are presented in [158].…”
Section: For This Reason the Glauber Model Was Used To Describe Hadromentioning
confidence: 99%