论文标题
随机相位近似中二维费米超流体的动力结构因子
Dynamical structure factors of a two-dimensional Fermi superfluid within random phase approximation
论文作者
论文摘要
基于随机相位近似（RPA），我们从数值计算平衡的二维（2D）费米超级流体的动态结构因子，并讨论它们在2D BEC-BCS交叉中的能量，动量和相互作用强度依赖性。在较小的转移动量下，在不满足粒子孔对称性的统一2D费米超氟气体中观察到稳定的希格斯模式。更强的相互作用强度将使希格斯模式分散的可见性更难观察到。我们还讨论了维度效应，并发现在二维中，希格斯模式的信号比3D情况下的信号更为明显。在较大的转移动量状态下，更强的相互作用强度将诱导分子激发的重量增加，而在经文中，原子量减少，这显示了费米超级流体的配对信息。理论结果定性地与相应的量子蒙特卡洛数据一致。
Based on random phase approximation (RPA), we numerically calculate dynamical structure factors of a balanced two-dimensional (2D) Fermi superfluid, and discuss their energy, momentum and interaction strength dependence in the 2D BEC-BCS crossover. At a small transferred momentum, a stable Higgs mode is observed in the unitary 2D Fermi superfluid gas where the particle-hole symmetry is not satisfied. Stronger interaction strength will make the visibility of the dispersion of Higgs mode harder to be observed. We also discuss the dimension effect and find that the signal of the Higgs mode in two dimension is more obvious than that in 3D case. At a large transferred momentum regime, stronger interaction strength will induce the weight of the molecules excitation increasing, while in verse the atomic one decreasing, which shows the pairing information of Fermi superfluid. The theoretical results qualitatively agree with the corresponding Quantum Monte Carlo data.
