论文标题

(多)奇怪的baryons在规范集合中的多重性依赖性,并带有相移校正

Multiplicity dependence of (multi-)strange baryons in the canonical ensemble with phase shift corrections

论文作者

Cleymans, Jean, Lo, Pok Man, Redlich, Krzysztof, Sharma, Natasha

论文摘要

如在P-P,P-PB和PB-PB碰撞中的Alice合作所看到的,用带电的粒子多样性的陌生产生增加了,在强子共振气体模型中,使用了基于已知相位移位分析的S-MATRIX校正来考虑HADRON之间的相互作用。在规范陌生合奏的框架内考虑了陌生的保护。对于最终状态中陌生含量的变化,可以使用与最中心的PB-PB碰撞中获得的相同固定温度值的函数获得一个很好的描述。结果表明,带电的Hadron的数量与系统体积成正比。对于少量多重性,局部陌生保护的规范合奏仅限于中期,这会导致对(多)奇怪的bary子的强烈抑制,而不是数据中所见。这是通过在整个相位中引入全球陌生性保护来补偿的,该保护的参数是由大比例中大于火球体积大的规范相关量进行了参数。详细介绍了有和没有S-矩阵校正的强子共振气体模型的结果。结果表明,通过S-Matrix形式主义进行相移分析引入的相互作用对于更好地描述产量数据至关重要。

The increase in strangeness production with charged particle multiplicity, as seen by the ALICE collaboration at CERN in p-p, p-Pb and Pb-Pb collisions, is investigated in the hadron resonance gas model taking into account interactions among hadrons using S-matrix corrections based on known phase shift analyses. Strangeness conservation is taken into account in the framework of the canonical strangeness ensemble. A very good description is obtained for the variation of the strangeness content in the final state as a function of the number of charged hadrons in the mid-rapidity region using the same fixed temperature value as obtained in the most central Pb-Pb collisions. It is shown that the number of charged hadrons is linearly proportional to the volume of the system. For small multiplicities the canonical ensemble with local strangeness conservation restricted to mid-rapidity leads to a stronger suppression of (multi-)strange baryons than seen in the data. This is compensated by introducing a global conservation of strangeness in the whole phase-space which is parameterized by the canonical correlation volume larger than the fireball volume at the mid-rapidity. The results on comparing the hadron resonance gas model with and without S-matrix corrections, are presented in detail. It is shown that the interactions introduced by the phase shift analysis via the S-matrix formalism are essential for a better description of the yields data.

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