对分解定态下可调凝聚体形状和标度律的数值研究
Numerical survey of the tunable condensate shape and scaling laws in pair-factorized steady states
摘要：
我们用数值方法研究了在随机输运过程的对因子化稳态中由于自发对称性破缺而出现的粒子凝聚体的形状和标度律的预测。特定模型由难以区分的粒子组成，这些粒子在受可调势控制的位点之间随机跳跃。我们确定不同的冷凝物形状在各自的参数制度，以及精确地确定冷凝物的宽度缩放。
英文摘要：
We numerically survey predictions on the shapes and scaling laws of particle condensates that emerge as a result of spontaneous symmetry breaking in pair- factorized steady states of a stochastic transport process. The specific model consists of indistinguishable particles that stochastically hop between sites controlled by a tunable potential. We identify the different condensate shapes within their respective parameter regimes as well as determine precisely the condensate width scaling.
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