Using strange hadrons as probes of dense matter

Caines, H.

doi:10.1088/0954-3899/32/12/s22

Cited by 10 publications

(12 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This allows them to be fully integrated into the interactive ROOT environment, allowing all of the ROOT functionality in a statistical-thermal model analysis. Recent applications of THERMUS include [2,10,11,12,13,14,15,16,17,18,19]. An on-going effort to extend the range of applications of THERMUS has led to several publications on fluctuations in statistical models [20,21,22].…”

Section: Introductionmentioning

confidence: 99%

THERMUS—A thermal model package for ROOT

Wheaton

Cleymans

Hauer

2009

Computer Physics Communications

307

289

View full text Add to dashboard Cite

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...

show abstract

Section: Introductionmentioning

confidence: 99%

THERMUS—A thermal model package for ROOT

Wheaton

Cleymans

Hauer

2009

Computer Physics Communications

307

289

View full text Add to dashboard Cite

show abstract

“…In this paper we consider a method to account for the suppression beyond the one expected in the canonical ensemble by assuming that exact strangeness conservation holds only in a small sub-volume V C of the system [1,4,7]. The concept of such a sub-volume, or a strangeness correlation volume, has been used in earlier studies [5,13,14,15]. Here, we present a systematic analysis of p-p and central C-C, SiSi and Pb-Pb collisions at the top SPS energy from the NA49 collaboration [16,17,18,19,20,21,22,23,24].…”

Section: Introductionmentioning

confidence: 99%

Chemical equilibrium in collisions of small systems

et al. 2007

View full text Add to dashboard Cite

The system-size dependence of particle production in heavy-ion collisions at the top SPS energy is analyzed in terms of the statistical model. A systematic comparison is made of two suppression mechanisms that quantify strange particle yields in ultra-relativistic heavy-ion collisions: the canonical model with strangeness correlation radius determined from the data and the model formulated in the canonical ensemble using chemical off-equilibrium strangeness suppression factor. The system-size dependence of the correlation radius and the thermal parameters are obtained for p-p, C-C, Si-Si and Pb-Pb collisions at √ sNN = 17.3 AGeV. It is shown that on the basis of a consistent set of data there is no clear difference between the two suppression patterns. In the present study the strangeness correlation radius was found to exhibit a rather weak dependence on the system size.

show abstract

“…6 that in Au-Au collisions at √ s N N = 200 GeV, although the predicted strangeness ordering of the p-p suppression is observed the yields per participant are not constant. Further, the magnitude of the suppression for a given strange baryon is the same in √ s N N = 200 GeV collisions as at the SPS in √ s N N = 17.3 GeV collisions [14,15]. Both of these results are counter to the predictions.…”

Section: Strange Particle Productionmentioning

confidence: 96%

“…Therefore some other scaling must be sought. Figure 7 shows the yield per dN ch /dη for Λ,Λ, Ξ − , Ξ + , and Ω − +Ω + for RHIC and the SPS Pb-Pb collisions using data taken from [14,15]. When plotted in this way the yield/dN ch /dη appears constant for the more central data suggesting that an entropy measure is more closely correlated to the strangeness production volume than the number of participants.…”

Section: Strange Particle Productionmentioning

confidence: 99%

Is soft physics entropy driven?

Caines

2006

Eur. Phys. J. C

View full text Add to dashboard Cite

Abstract. The soft physics, pT < 2 GeV/c, observables at both RHIC and the SPS have now been mapped out in quite specific detail. From these results there is mounting evidence that this regime is primarily driven by the multiplicity per unit rapidity, dN ch /dη. This suggests that the entropy of the system alone is the underlying driving force for many of the global observables measured in heavy-ion collisions. That this is the case and there is an apparent independence on collision energy is surprising. I present the evidence for this multiplicity scaling and use it to make some extremely naive predictions for the soft sector results at the LHC. PACS. PACS-key discribing text of that key -PACS-key discribing text of that key

show abstract

Using strange hadrons as probes of dense matter

Cited by 10 publications

References 28 publications

THERMUS—A thermal model package for ROOT

THERMUS—A thermal model package for ROOT

Chemical equilibrium in collisions of small systems

Is soft physics entropy driven?

Contact Info

Product

Resources

About