| ATOMIC AND MOLECULAR PHYSICS |
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Production of $^{87}$Rb Bose–Einstein Condensate in an Asymmetric Crossed Optical Dipole Trap |
| Zhu Ma1,2†, Chengyin Han1†, Xunda Jiang1,2, Ruihuan Fang1,2, Yuxiang Qiu1,2, Minhua Zhao1,2, Jiahao Huang1, Bo Lu1*, and Chaohong Lee1,2* |
1Guangdong Provincial Key Laboratory of Quantum Metrology and Sensing & School of Physics and Astronomy, Sun Yat-Sen University (Zhuhai Campus), Zhuhai 519082, China
2State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-Sen University (Guangzhou Campus), Guangzhou 510275, China
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| Cite this article: |
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Zhu Ma, Chengyin Han, Xunda Jiang et al 2021 Chin. Phys. Lett. 38 103701 |
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Abstract We report the production of $^{87}$Rb Bose–Einstein condensate in an asymmetric crossed optical dipole trap (ACODT) without the need of an additional dimple laser. In our experiment, the ACODT is formed by two laser beams with different radii to achieve efficient capture and rapid evaporation of laser cooled atoms. Compared to the cooling procedure in a magnetic trap, the atoms are firstly laser cooled and then directly loaded into an ACODT without the pre-evaporative cooling process. In order to determine the optimal parameters for evaporation cooling, we optimize the power ratio of the two beams and the evaporation time to maximize the final atom number left in the ACODT. By loading about $6\times10^{5}$ laser cooled atoms in the ACODT, we obtain a pure Bose–Einstein condensate with about $1.4\times10^{4}$ atoms after 19 s evaporation. Additionally, we demonstrate that the fringe-type noises in optical density distributions can be reduced via principal component analysis, which correspondingly improves the reliability of temperature measurement.
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Received: 20 August 2021
Published: 26 September 2021
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| PACS: |
67.85.Hj
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(Bose-Einstein condensates in optical potentials)
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37.10.De
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(Atom cooling methods)
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64.70.fm
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(Thermodynamics studies of evaporation and condensation)
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| Fund: Supported by the Key-Area Research and Development Program of Guangdong Province, China (Grant No. 2019B030330001), the National Natural Science Foundation of China (Grant Nos. 12025509 and 11874434), the Science and Technology Program of Guangzhou, China (Grant Nos. 201904020024 and 201804010497), the Natural Science Foundation of Guangdong Province, China (Grant No. 2018A030313988), and the Fundamental Research Funds for the Central Universities (Grant No. 2021qntd28). |
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