Statistical model predictions for and collisions at LHC

✍ Scribed by I. Kraus; J. Cleymans; H. Oeschler; K. Redlich; S. Wheaton

• Book ID: 104089479
• Publisher: Elsevier Science
• Year: 2009
• Tongue: English
• Weight: 897 KB
• Volume: 62
• Category: Article
• ISSN: 0146-6410
• DOI: 10.1016/j.ppnp.2008.12.033

✦ Synopsis

Particle production in p + p and central Pb + Pb collisions at LHC is discussed in the context of the statistical thermal model. For heavy-ion collisions, predictions of various particle ratios are presented. 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. Considering elementary interactions on the other hand, we focus on strangeness production and its possible suppression. Extrapolating the thermal parameters to LHC energy, we present predictions of the statistical model for particle yields in p + p collisions. We quantify the strangeness suppression by the correlation volume parameter and discuss its influence on particle production. We propose observables that can provide deeper insight into the mechanism of strangeness production and suppression at LHC.