Blue-detuned molecular magneto-optical trap schemes based on Bayesian optimization

作者:Xu, S.; Li, R.; Xia, Y.*; Siercke, M.; Ospelkaus, S.
来源:Physical Review A - Atomic, Molecular, and Optical Physics, 2023, 108(3): 033102.
DOI:10.1103/PhysRevA.108.033102

摘要

Direct laser cooling and trapping of molecules to temperature below the Doppler limit and density exceeding 108 are challenging due to the sub-Doppler heating effects of a molecular magneto-optical trap (MOT). In our previous paper [S. Xu et al., Phys. Rev. Res. 4, L042036 (2022)], we presented a general approach to engineering the sub-Doppler force by tuning the AC Stark shift with the addition of a blue-detuned laser. Here, by employing the Bayesian optimization method to optical Bloch equations, we have identified multiple blue-detuned MOT schemes for the CaF molecule. From the three-dimensional Monte Carlo simulation, we obtained a MOT temperature and density of 14 mu K and 4.5 x 10(8) cm(-3), respectively. Our findings present a potential avenue for directly loading molecular MOTs into conservative traps, which can capitalize on the high density and low temperature of the MOTs.

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