Heidelberg 2015 – scientific programme
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Q: Fachverband Quantenoptik und Photonik
Q 15: Poster: Quantum Optics and Photonics I
Q 15.11: Poster
Monday, March 23, 2015, 17:00–19:00, C/Foyer
Optimization of an Ultracold Quantum Gas Experiment by Artificial Evolution — •Tobias Lausch1, Michael Bauer1, Farina Kindermann1, Daniel Mayer1,2, Felix Schmidt1,2, and Artur Widera1,2 — 1TU Kaiserslautern and Forschungszentrum OPTIMAS, Erwin-Schroedinger Str. 46, 67663 Kaiserslautern, Germany — 2Graduate School Materials Science in Mainz,Gottlieb-Daimler-Straße 47, 67663 Kaiserslautern, Germany
Quantum mechanical measurements in ultracold gas experiments require many repetitions for good statistics and therefore short cycle times. The production time of a BEC can be improved in many ways. Increasing, for instance, loading rates in the magneto-optical trap (MOT) or the transfer efficiency from the MOT to the optical dipole trap by adjusting laser detunings, intensities or more complex parameters such as the shape of the evaporation ramp.
In order to automatize the optimization process, we implement an evolutionary algorithm. The basic working principle, the survival of the fittest, is enhanced by differential evolution. The algorithm is designed to improve any measurable feedback with a given set of parameters. By analyzing the data obtained, knowledge about constraints of the experimental setup and significance of the parameters is gained as well as a set of optimal values for the creation of a BEC.