THERMUS -- A Thermal Model Package for ROOT

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 mixed-canonical ensemble combining a canonical treatment of strangeness with a grand-canonical 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.Comment: to be published in Computer Physics Communication

The development and application of THERMUS : a statistical-thermal model analysis package for ROOT

Includes bibliographical references (p. 195-202).A statistical-thermal model package, THERMUS, developed for incorporation into the ROOT framework of analysis, is presented. THERMUS, designed with applications to relativistic heavy-ion and elementary collisions of the baryon, strangeness and charge contents of he fireballs resulting from such collisions

Statistical-Thermal Model Calculations using THERMUS

Selected results obtained using THERMUS, a newly-developed statistical-thermal model analysis package, are presented.Comment: Contributed to 8th International Conference on Strangeness in Quark Matter, Cape Town, South Africa, 15-20 September 200

Multi-strange baryon production in pp, p-Pb and Pb-Pb collisions measured with ALICE at the LHC

Multi-strange baryons are of particular interest in the understanding of particle production mechanisms, as their high strangeness content makes them susceptible to changes in the hadrochemistry of the colliding systems. In ALICE, these hyperons are reconstructed via the detection of their weak decay products, which are identified through their measured ionisation losses and momenta in the Time Projection Chamber. The production rates of charged $\Xi$ and $\Omega$ baryons in proton-proton (pp), proton-lead (p-Pb) and lead-lead (Pb-Pb) collisions are reported as a function of $p_{\mathrm{T}}$. A direct comparison in the hyperon-to-pion ratios between the three collision systems is made as a function of event charged-particle multiplicity. The recently measured production rates in p-Pb interactions reveal an enhancement with increasing event multiplicity, consistent with a hierarchy dependent on the strangeness content of the hyperons. These results are discussed in the context of chemical equilibrium predictions, taking into account the extracted temperature parameter from a thermal model fit to the hadron yields in Pb-Pb data

Strange Particle Production in pp Collisions at sqrt(s) = 0.9 and 7 TeV measured with the ALICE Experiment

Hadrons measured in proton-proton collisions at sqrt(s) = 0.9 and 7 TeV with the ALICE detector have been identified using various techniques: the specific energy loss and the time-of flight information for charged pions, kaons and protons, the displaced vertex resulting from their weak decay for K0, Lambda and Xi and the kink topology of decaying charged kaons. These various particle identification tools give the best separation at different momentum ranges and the results are combined to obtain spectra from pt = 100 MeV/c to 2.5 GeV/c. This allows to extract total yields. In detail we discuss the K/pi ratio together with previous measurements and we show a fit using a statistical approach.Comment: 4 pages, 3 figures, Proceedings of the ICPAQGP2010 conference in Goa, India, December 6th - 10th, 201

Statistical Model Predictions for Pb-Pb Collisions at LHC

The systematics of Statistical Model parameters extracted from heavy-ion collisions at lower energies are exploited to extrapolate in the LHC regime. Predictions of various particle ratios are presented and particle production in central Pb-Pb collisions at LHC is discussed in the context of the Statistical Model. The sensitivity of several ratios on the temperature and the baryon chemical potential is studied in detail, and some of them, which are particularly appropriate to determine the chemical freeze-out point experimentally, are indicated. The impact of feed-down contributions from resonances, especially to light hadrons, is illustrated.Comment: 5 pages, 2 figures, 1 table, SQM 2006 conference proceedings, accepted for publication in J. Phys.

Transition from Baryonic to Mesonic Freeze-Out

The recently discovered sharp peak in the K+/pi+ ratio is discussed in the framework of the statistical model. In this model a rapid change is expected as the hadronic gas undergoes a transition from a baryon-dominated to a meson-dominated gas. The transition happens at sqrt{s_{NN}} = 8.16 GeV, temperature T = 140 MeV and baryon chemical potential mu_B = 410 MeV. The maximum in the Lambda/pi ratio is well reproduced by the statistical model, but the change in the K+/pi+ ratio is much less pronounced than the one observed by the NA49 collaboration. Further experimental tests are proposed to clarify the nature of the transition. In particular, the maxima expected in the statistical model for the Xi/pi and Omega/pi ratios occur at slightly higher beam energies than the maxima for the Lambda/pi and K+/pi+ ratios.Comment: 5 pages, 5 postscript figures, uses elsart.st