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arXiv quant-ph/0308169quant-ph
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囚禁三能级原子的共振荧光

Resonance fluorescence of a trapped three-level atom

Marc Bienert, Wolfgang Merkel, Giovanna Morigi

摘要:

本文从理论上研究了一个简谐囚禁原子的共振荧光光谱,该原子的内部跃迁为$Λ$ -型跃迁,在一对激光的双光子共振驱动下,原子的质心运动被冷却.对于这种配置,光子散射只是由于光与原子之间的量子相互作用的机械效应。本文研究了原子质心动力学为量子力学、波包尺寸远小于激光波长(Lamb Dicke极限)时,激光冷却最后阶段的辐射谱。我们利用原子密度矩阵的主方程的Liouville算子的谱分解和应用二阶微扰理论。我们发现共振荧光的光谱由两个窄边带组成-散射光的斯托克斯和反斯托克斯分量-而所有其他信号一般都小几个数量级。然而,对于非常低的温度,光谱的Mollow型非弹性分量变得可见。这表现出新的功能,使进一步深入了解系统的量子动力学。我们提供了一个物理模型,解释我们的结果,并讨论如何可以恢复温度和冷却速率的原子从光谱。所考虑的系统的行为进行了比较与共振荧光的被困原子的内部跃迁由两个级别。

英文摘要:

We investigate theoretically the spectrum of resonance fluorescence of a harmonically trapped atom, whose internal transitions are $Λ$--shaped and driven at two-photon resonance by a pair of lasers, which cool the center--of--mass motion. For this configuration, photons are scattered only due to the mechanical effects of the quantum interaction between light and atom. We study the spectrum of emission in the final stage of laser--cooling, when the atomic center-of-mass dynamics is quantum mechanical and the size of the wave packet is much smaller than the laser wavelength (Lamb--Dicke limit). We use the spectral decomposition of the Liouville operator of the master equation for the atomic density matrix and apply second order perturbation theory. We find that the spectrum of resonance fluorescence is composed by two narrow sidebands -- the Stokes and anti-Stokes components of the scattered light -- while all other signals are in general orders of magnitude smaller. For very low temperatures, however, the Mollow--type inelastic component of the spectrum becomes visible. This exhibits novel features which allow further insight into the quantum dynamics of the system. We provide a physical model that interprets our results and discuss how one can recover temperature and cooling rate of the atom from the spectrum. The behaviour of the considered system is compared with the resonance fluorescence of a trapped atom whose internal transition consists of two-levels.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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