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MO: Fachverband Molekülphysik
MO 7: Cold Molecules
MO 7.2: Talk
Tuesday, March 15, 2022, 10:45–11:00, MO-H8
Bayesian optimization of molecular magneto-optical trapping — •Supeng Xu, Paul Kaebert, Mariia Stepanova, Timo Poll, Mirco Siercke, and Silke Ospelkaus — Institut für Quantenoptik, Leibniz Universität Hannover
Magneto-optical trapping (MOT) is a key technique on the route towards ultracold molecular ensembles. However, the realization and optimization of magneto-optical traps with their wide parameter space is particularly difficult. Here, we present a very general method for the optimization of molecular magneto-optical trap operation by means of Bayesian optimization. We take CaF as an example and optimize the capture velocity, which can lead to significant gains in the number of molecules loaded into a trap. In the simulation, the nonlinear Zeeman sublevels and the magnetic field dependent transition rates are considered to get more accurate results. We obtain a group of parameters for both A2Π1/2 - X2Σ+ and B2Σ+ -X2Σ+ transitions that are superior to the conventional MOT scheme in both trapping and cooling force, as well as the capture velocity. Three laser frequency components schemes are also given to simplify the experiment. Finally, we use the optical Bloch equations (OBEs) to investigate sub-Doppler heating effects with the optimized schemes and find that, while the program is designed to find the maximum capture velocity, it can also reduce the velocity range over which the sub-Doppler heating effects occur.