Determining the temperature in heavy-ion collisions with multiplicity distribution
Determining the temperature in heavy-ion collisions with multiplicity distribution
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DOI：
10.1016/j.physletb.2021.136084
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
Y. Song;R. Wang;Y. Ma;X. Deng;H. Liu
中科院分区：
文献类型：
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作者：
Y. Song;R. Wang;Y. Ma;X. Deng;H. Liu
通过深度神经网络将电荷多重分布与去激发核的温度联系起来，我们提出电荷多重分布可以作为重离子碰撞的温度计。基于同位旋相关的量子分子动力学模型，研究了钯103+ Be 9反应的热曲线，通过电荷多重分布确定了反应的表观温度。热曲线在表观温度T ap= 6.4 MeV附近表现出核液气相变的特征，与传统重离子碰撞体温计测得的结果一致，表明了多重分布重离子碰撞温度测定的可行性。
By relating the charge multiplicity distribution and the temperature of a de-exciting nucleus through a deep neural network, we propose that the charge multiplicity distribution can be used as a thermometer of heavy-ion collisions. Based on an isospin-dependent quantum molecular dynamics model, we study the caloric curve of reaction Pd 103+ Be 9 with the apparent temperature determined through the charge multiplicity distribution. The caloric curve shows a characteristic signature of nuclear liquid-gas phase transition around the apparent temperature T ap= 6.4 MeV, which is consistent with that through a traditional heavy-ion collision thermometer, and indicates the viability of determining the temperature in heavy-ion collisions with multiplicity distribution.