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arXiv 0902.0873hep-ph
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LHC上p+p和Pb+Pb碰撞的统计模型预测

Statistical Model Predictions for p+p and Pb+Pb Collisions at LHC

I. Kraus, J. Cleymans, H. Oeschler, K. Redlich, S Wheaton

摘要:

本文用统计热模型讨论了LHC中p+p碰撞和中心Pb+Pb碰撞的粒子产生。对于重离子碰撞,提出了各种粒子比的预测。详细研究了几种比值对温度和重子化学势的灵敏度,指出了几种特别适合于实验测定化学冻结点的比值。另一方面,考虑基本相互作用,我们专注于奇异值的产生及其可能的抑制。外推的热参数LHC的能量,我们提出了预测的统计模型的粒子产额在p+p碰撞。我们量化的奇异抑制的相关体积参数,并讨论其对粒子产生的影响。我们提出的观测值,可以提供更深入的了解奇怪的生产和抑制机制在LHC。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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