Parton-based Gribov–Regge theory

Drescher, H. J.; Hladik, Michael; Ostapchenko, S.; Pierog, T.; Werner, K.

doi:10.1016/s0370-1573(00)00122-8

Cited by 429 publications

(484 citation statements)

References 185 publications

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“…A model aims to explain how as a function of collision energy and centrality the easy to observe final entropy (hadron multiplicity) content arises. For some related effort see review work of the Wernergroup [156] and Iancu-Venugopalan [157].…”

Section: How Is Energy and Matter Stopped?mentioning

confidence: 99%

Melting hadrons, boiling quarks

Rafelski

2015

Eur. Phys. J. A

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Abstract. In the context of the Hagedorn temperature half-centenary I describe our understanding of the hot phases of hadronic matter both below and above the Hagedorn temperature. The first part of the review addresses many frequently posed questions about properties of hadronic matter in different phases, phase transition and the exploration of quark-gluon plasma (QGP). The historical context of the discovery of QGP is shown and the role of strangeness and strange antibaryon signature of QGP illustrated. In the second part I discuss the corresponding theoretical ideas and show how experimental results can be used to describe the properties of QGP at hadronization. The material of this review is complemented by two early and unpublished reports containing the prediction of the different forms of hadron matter, and of the formation of QGP in relativistic heavy ion collisions, including the discussion of strangeness, and in particular strange antibaryon signature of QGP.

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Section: How Is Energy and Matter Stopped?mentioning

confidence: 99%

Melting hadrons, boiling quarks

Rafelski

2015

Eur. Phys. J. A

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“…Such a model exists and has been actively developed for about 20 years. EPOS [6] is based on the parton-based Gribov-Regge theory [7] developed for NEXUS, which was based on the VENUS model [8] for soft interactions and the QGSJET model [9] for the semihard scattering.…”

Section: Introductionmentioning

confidence: 99%

EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider

et al. 2015

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EPOS is a Monte Carlo event generator for minimum bias hadronic interactions, used for both heavy ion interactions and cosmic ray air shower simulations. Since the last public release in 2009, the Large Hadron Collider (LHC) experiments have provided a number of very interesting data sets comprising minimum bias p-p, p-Pb, and Pb-Pb interactions. We describe the changes required to the model to reproduce in detail the new data available from the LHC and the consequences in the interpretation of these data. In particular we discuss the effect of the collective hadronization in p-p scattering. A different parametrization of flow has been introduced in the case of a small volume with high density of thermalized matter (core) reached in p-p compared to large volume produced in heavy ion collisions. Both parametrizations depend only on the geometry and the amount of secondary particles entering in the core and not on the beam mass or energy. The transition between the two flow regimes can be tested with p-Pb data. EPOS LHC is able to reproduce all minimum bias results for all particles with transverse momentum from p t = 0 to a few GeV/c.

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“…As for most of high energy hadronhadron interaction models, it is based on the simple parton model which can be seen as an exchange of a "parton ladder" between the two hadrons. In EPOS, the term "parton ladder" is actually meant to contain two parts [30]: the hard one, as discussed above, and a soft one, which is a purely phenomenological object, parameterized in Regge pole fashion. This is the so called Pomeron used as elementary parton-parton interaction in EPOS.…”

Section: Epos Modelmentioning

confidence: 99%

“…Hence EPOS is a consistent quantum mechanical multiple scattering approach based on partons and strings [30], where cross sections and the particle production are calculated consistently, taking into account energy conservation in both cases (unlike other models where energy conservation is not considered for cross section calculations [33]). The main consequence of this energy sharing process is that the number of Pomerons generated event-by-event does not follow a simple Poissonian distribution.…”

Section: Epos Modelmentioning

confidence: 99%

Modelling hadronic interactions in cosmic ray Monte Carlo generators

Pierog

2015

EPJ Web of Conferences

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Abstract. Currently the uncertainty in the prediction of shower observables for different primary particles and energies is dominated by differences between hadronic interaction models. The LHC data on minimum bias measurements can be used to test Monte Carlo generators and these new constraints will help to reduce the uncertainties in air shower predictions. In this article, after a short introduction on air showers and Monte Carlo generators, we will show the results of the comparison between the updated version of high energy hadronic interaction models EPOS LHC and QGSJETII-04 with LHC data. Results for air shower simulations and their consequences on comparisons with air shower data will be discussed.

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Parton-based Gribov–Regge theory

Cited by 429 publications

References 185 publications

Melting hadrons, boiling quarks

Melting hadrons, boiling quarks

EPOS LHC: Test of collective hadronization with data measured at the CERN Large Hadron Collider

Modelling hadronic interactions in cosmic ray Monte Carlo generators

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