ATOMIC AND MOLECULAR PHYSICS |
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Rotational Population Measurement of Ultracold $^{85}$Rb$^{133}$Cs Molecules in the Lowest Vibrational Ground State |
Zhong-Hua Ji1,2, Zhong-Hao Li1,2, Ting Gong1,2, Yan-Ting Zhao1,2**, Lian-Tuan Xiao1,2, Suo-Tang Jia1,2 |
1State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Laser Spectroscopy, Shanxi University, Taiyuan 030006 2Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006
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Cite this article: |
Zhong-Hua Ji, Zhong-Hao Li, Ting Gong et al 2017 Chin. Phys. Lett. 34 103301 |
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Abstract We measure the rotational populations of ultracold $^{85}$Rb$^{133}$Cs molecules in the lowest vibrational ground state by a depletion spectroscopy and quantify the molecular production rate based on the measurement of single ion signal area. The $^{85}$Rb$^{133}$Cs molecules in the $X^{1}{\it \Sigma}^{+} (v=0)$ are formed from the short-range $(2)^{3}{\it \Pi}_{0^{+}}(v=10,J=0)$ molecular state. A home-made external-cavity diode laser is used as the depletion laser to measure the rotational populations of the formed molecules. Based on the determination of single ion signal, the production rates of molecules in the $J=0$ and $J=2$ rotational levels are derived to be 4800 mole/s and 7200 mole/s, respectively. The resolution and quantification of molecules in rotational states are facilitative for the manipulation of rotational quantum state of ultracold molecules.
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Received: 14 July 2017
Published: 27 September 2017
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PACS: |
33.80.-b
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(Photon interactions with molecules)
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37.10.Mn
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(Slowing and cooling of molecules)
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32.80.-t
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(Photoionization and excitation)
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33.15.Mt
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(Rotation, vibration, and vibration-rotation constants)
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Fund: Supported by the National Key Research and Development Program of China under Grant No 2017YFA0304203, the National Natural Science Foundation of China under Grant Nos 61675120, 11434007 and 61378015, the Program for Changjiang Scholars and Innovative Research Team in University under Grant No IRT13076, and the Applied Basic Research Project of Shanxi Province under Grant No 201601D202008. |
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