We describe an apparatus that efficiently produces 23Na Bose-Einstein condensates (BECs) in a hybrid trap that combines a quadrupole magnetic field with a far-detuned optical dipole trap. Using a Bayesian optimization framework, we systematically optimize all BEC production parameters in modest-sized batches of highly correlated parameters. Furthermore, we introduce a Lagrange multiplier-based technique to optimize the duration of different evaporation stages constrained to have a fixed total duration; this enables the progressive creation of increasingly rapid experimental sequences that still generate high-quality BECs. Taken together, our techniques constitute a general approach for refining and accelerating sequence-based experimental protocols.
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Mukherjee et al. (2025) studied this question.
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