Influence of impact parameter on thermal description of relativistic heavy ion collisions at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mo>(</mml:mo><mml:mn>1</mml:mn><mml:mn /><mml:mo>–</mml:mo><mml:mn>2</mml:mn><mml:mo>)</mml:mo><mml:mi>A</mml:mi><mml:mi> </mml:mi><mml:mi mathvariant="normal">GeV</mml:mi></mml:math>

Cleymans, J.; Oeschler, H.; Redlich, K.

doi:10.1103/physrevc.59.1663

Cited by 170 publications

(240 citation statements)

References 40 publications

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“…In this way, by taking V c < V f , it is possible to boost the strangeness suppression. In fact, this was shown to be required to reproduce experimental heavy-ion collision data [40,41].…”

Section: The Mixed-canonical (Strangeness-canonical) Ensemblementioning

confidence: 99%

“…In [40,41] it is suggested that two volume parameters be used within canoni-cal ensembles; the fireball volume at freeze-out, V f , which provides the overall normalisation factor fixing the particle multiplicities from the corresponding densities, and the correlation volume, V c , within which particles fulfill the requirement of local conservation of quantum numbers. In this way, by taking V c < V f , it is possible to boost the strangeness suppression.…”

Section: The Mixed-canonical (Strangeness-canonical) Ensemblementioning

confidence: 99%

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THERMUS—A thermal model package for ROOT

Wheaton

Cleymans

Hauer

2009

Computer Physics Communications

305

289

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THERMUS is a package of C++ classes and functions allowing statistical-thermal model analyses of particle production in relativistic heavy-ion collisions to be performed within the ROOT framework of analysis. Calculations are possible within three statistical ensembles; a grand-canonical treatment of the conserved charges B, S and Q, a fully canonical treatment of the conserved charges, and a mixedcanonical ensemble combining a canonical treatment of strangeness with a grandcanonical treatment of baryon number and electric charge. THERMUS allows for the assignment of decay chains and detector efficiencies specific to each particle yield, which enables sensible fitting of model parameters to experimental data. Nature of problem:Statistical-thermal model analyses of heavy-ion collision data require the calculation of both primordial particle densities and contributions from resonance decay. A set of thermal parameters (the number depending on the particular model imposed) and a set of thermalised particles, with their decays specified, is required as input to these models. The output is then a complete set of primordial thermal quantities for each particle, together with the contributions to the final particle yields from resonance decay.In many applications of statistical-thermal models it is required to fit experimental particle multiplicities or particle ratios. In such analyses, the input is a set of experimental yields and ratios, a set of particles comprising the assumed hadron resonance gas formed in the collision and the constraints to be placed on the system. The thermal model parameters consistent with the specified constraints leading to the best-fit to the experimental data are then output. Solution method:THERMUS is a package designed for incorporation into the ROOT [2] framework, used extensively by the heavy-ion community. As such, it utilises a great deal of ROOT's functionality in its operation. ROOT features used in THERMUS include its containers, the wrapper TMinuit implementing the MINUIT fitting package, and the TMath class of mathematical functions and routines. Arguably the most useful feature is the utilisation of CINT as the control language, which allows interactive 2 access to the THERMUS objects. Three distinct statistical ensembles are included in THERMUS, while additional options to include quantum statistics, resonance width and excluded volume corrections are also available. THERMUS provides a default particle list including all mesons (up to the K * 4 (2045)) and baryons (up to the Ω − ) listed in the July 2002 Particle Physics Booklet [3]. For each typically unstable particle in this list, THERMUS includes a text-file listing its decays. With thermal parameters specified, THERMUS calculates primordial thermal densities either by performing numerical integrations or else, in the case of the Boltzmann approximation without resonance width in the grand-canonical ensemble, by evaluating Bessel functions. Particle decay chains are then used to evaluate experimental observables...

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“…In this way, by taking V c < V f , it is possible to boost the strangeness suppression. In fact, this was shown to be required to reproduce experimental heavy-ion collision data [40,41].…”

Section: The Mixed-canonical (Strangeness-canonical) Ensemblementioning

confidence: 99%

Section: The Mixed-canonical (Strangeness-canonical) Ensemblementioning

confidence: 99%

THERMUS—A thermal model package for ROOT

Wheaton

Cleymans

Hauer

2009

Computer Physics Communications

305

289

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“…1. analysis of presently available data for different particle multiplicities and their ratios measured in heavy ion collisions at SPS energy suggests that the chemical freezeout temperature at LHC should be in the range 0.16 < T f < 0.18 [15,16,17,18], that is very close to T c .…”

Section: Model For Expansion Dynamicsmentioning

confidence: 99%

Charmonium production from secondary collisions at LHC energy

Braun‐Munzinger¹,

Redlich

2000

Eur. Phys. J. C

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We consider the charmonium production in thermalized hadronic medium created in ultrarelativistic heavy ion collisions at LHC energy. The calculations for the secondary J/ψ and ψ , production by DD annihilation are performed within a kinetic model taking into account the space-time evolution of a longitudinally and transversely expanding medium. We show that the secondary charmonium production appears almost entirely during the mixed phase and it is very sensitive to the charmonium dissociation cross section with co-moving hadrons. Within the most likely scenario for the dissociation cross section of the J/ψ mesons their regeneration in the hadronic medium will be negligible. The secondary production of ψ , mesons however, due to their large cross section above the threshold, can substantially exceed the primary yield.

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“…At higher beam energies (AGS, SPS, RHIC) the abundances of produced particles can be well described within the framework of a statistical model [3]. The same holds for SIS energies if strangeness conservation is treated canonically [4]. In the following K + and K − spectra measured recently in Au + Au and Ni + Ni collisions at 1.5 AGeV with the Kaon Spectrometer [5] at SIS/GSI will be presented as a function of centrality as well as the respective polar angle distributions.…”

Section: Introductionmentioning

confidence: 74%

Kaon and antikaon production in heavy ion collisions at 1.5 A GeV

Förster

2002

J. Phys. G: Nucl. Part. Phys.

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Abstract.At the Kaon Spectrometer KaoS at SIS, GSI the production of kaons and antikaons in heavy ion reactions at a beam energy of 1.5 AGeV has been measured for the collision systems Ni + Ni and Au + Au. The K − /K + ratio is found to be constant for both systems and as a function of impact parameter but the slopes of K + and K − spectra differ for all impact parameters. Furthermore the respective polar angle distributions will be presented as a function of centrality.

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Influence of impact parameter on thermal description of relativistic heavy ion collisions at(1–2)A GeV

Cited by 170 publications

References 40 publications

THERMUS—A thermal model package for ROOT

THERMUS—A thermal model package for ROOT

Charmonium production from secondary collisions at LHC energy

Kaon and antikaon production in heavy ion collisions at 1.5 A GeV

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