论文标题

在{\ sqrtsnn}〜= 54.4 GEV的{\ auau}碰撞中的不同奇怪的黑龙的冻结属性

Freeze-out Properties of Different Strange Hadrons from {\auau} Collisions at {\sqrtsNN}~= 54.4 GeV

论文作者

Ashraf, M. U., Tariq, Junaid, Ikram, Sumaira, Khan, A. M.

论文摘要

我们分析了不同粒子物种的横向动量{\ ppt}光谱,其中包含奇怪的夸克{\ ks},{\ lam(\ alam)}和{\ xim({\ axi}}}的{\ xim({\ axi}}}}在不同的中心间隔中的不同中心间隔($ y $),来自{$ y $)。 GEV。这些奇怪的黑龙的{\ ppt}光谱通过类似Tsallis的分布进行了研究。类似Tsallis的分布令人满意地符合实验数据。从tsallis样分布函数中提取的有效温度,基于熵的参数$ q $和平均值{\ ppt},而动力学冷冻温度($ t_0 $)和横向流量速度($β_T$)则由另一种方法提取。发现有效的温度,基于熵的参数$ q $和平均{\ ppt}的含量很大程度上取决于中心性。与单键式粒子{\ lam(\ alam)}和{\ ks}相比,多震动粒子的有效温度({\ xim({\ axi})})和{\ ks}相比要大。此外,替代方法提取的参数从中央碰撞到外围碰撞减少,除了显示相反行为的参数$ q $。观察到质量依赖的动力学冻结场景,因为对大型颗粒的有效流比较轻的颗粒更大。此外,$ t $,$β_T$和平均{\ ppt}($ \ langle p_t \ rangle $)显示出从中央碰撞到外围碰撞的趋势下降。熵参数$ Q $从中央碰撞增加到外围碰撞。

We analyzed the transverse momentum {\ppt} spectra of different particle species containing strange quark {\ks}, {\lam (\alam)} and {\xim ({\axi})} in different centrality intervals at mid-rapidity ($y$) from {\auau} collisions at {\sqrtsNN}= 54.4 GeV. The {\ppt} spectra of these strange hadrons are investigated by Tsallis-like distribution. The Tsallis-like distribution satisfactorily fits the experimental data. The effective temperature, entropy based parameter $q$ and mean {\ppt} extracted from the Tsallis-like distribution function while the kinetic freeze-out temperature ($T_0$) and transverse flow velocity ($β_T$) are extracted by an alternative method. The effective temperature, entropy based parameter $q$ and mean {\ppt} are found to be strongly dependent on centrality. The effective temperature of multi-strange particle ({\xim ({\axi})}) is larger as compared to singly-strange particles {\lam (\alam)} and {\ks}. Furthermore, the extracted parameters from alternative approach decreases from central collisions to peripheral collisions, except the parameter $q$ which shows an opposite behaviour. A mass dependent kinetic freeze-out scenario is observed as the effective flow is larger for massive particles than the lighter one. Furthermore, the $T$, $β_T$ and mean {\ppt} ($\langle p_T \rangle$) shows decreasing trend as we go from central collisions to peripheral collisions. The entropy parameter $q$ increases from central to peripheral collisions.

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