Optimizing The Stark-Decelerator Beamline For The Trapping Of Cold Molecules Using Evolutionary Strategies

PHYSICAL REVIEW A(2006)

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摘要
We demonstrate feedback control optimization for the Stark deceleration and trapping of neutral polar molecules using evolutionary strategies. In a Stark-decelerator beamline, pulsed electric fields are used to decelerate OH radicals and subsequently store them in an electrostatic trap. The efficiency of the deceleration and trapping process is determined by the exact timings of the applied electric field pulses. Automated optimization of these timings yields an increase of 40% of the number of trapped OH radicals.
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关键词
evolutionary strategies,stark deceleration,feedback control optimization,cold molecules,ma- chine learning,evolutionary strategy,feedback control,radiation pressure,electric field
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