Rapidity-dependent chemical potentials in a statistical approach

Abstract

We present a single-freeze-out model with thermal and geometric parameters dependent on the position within the fireball and use it to describe the rapidity and transverse-momentum spectra of pions, kaons, protons, and antiprotons measured at RHIC at 200 GeV} by BRAHMS. THERMINATOR is used to perform the necessary simulation, which includes all resonance decays. The result of the fit to the data is the expected growth of the baryon and strange chemical potentials with the spatial rapidityα_\parallel. The value of the baryon chemical potential at α_\parallel ~ 3 is about 200 MeV, i.e. lies in the range of the highest SPS energies. The chosen geometry of the fireball has a decreasing transverse size as the magnitude of α_\parallel is increased, which also corresponds to decreasing transverse flow. The strange chemical potential obtained from the fit to the K+/K- ratio is such that the local strangeness density in the fireball is compatible with zero. The resulting rapidity spectra of net protons are described qualitatively within the statistical approach. As a result of our study, the knowledge of the ``topography'' of the fireball is acquired, allowing for other analyses and predictions.

6 pages, tals at SQM 2007

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Cited by in corpus (10)

• Equilibrium Statistical-Thermal Models in High-Energy Physics
• Exteneded Longitudinal Scaling and the Thermal Model
• Feeddown contributions from unstable nuclei in relativistic heavy-ion collisions
• Systematic of Particle Thermal Freeze-out in a Hadronic Fireball at RHIC
• Rapidity scan with multistage hydrodynamic and statistical thermal models
• Estimation of the freeze-out parameters reachable in the AFTER@LHC project
• The effect of flow on Hadronic Spectra in an Excluded-Volume Model
• Extended Statistical Thermal Model and Rapidity Spectra of Hadrons at 200 GeV/A
• Limiting Fragmentation in a Thermal Model with Flow
• Net Proton Flow and Nuclear Transparency Effects at RHIC : A Multiple Fireball Model approach