Stochastic optimization of a cold atom experiment using a genetic algorithm

Details Stochastic optimization of a cold atom experiment using a genetic algorithm Stochastic optimization of a cold atom experiment using a genetic algorithm

2008-10-24

arxiv.org/abs/0810.4474v2

Applied Physics Letters 93, 264101 (2008)

Physics

Atomic Physics

4 pages, 3 figures

Scientific paper

10.1063/1.3058756

We employ an evolutionary algorithm to automatically optimize different stages of a cold atom experiment without human intervention. This approach closes the loop between computer based experimental control systems and automatic real time analysis and can be applied to a wide range of experimental situations. The genetic algorithm quickly and reliably converges to the most performing parameter set independent of the starting population. Especially in many-dimensional or connected parameter spaces the automatic optimization outperforms a manual search.

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