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Journal of the Optical Society of America B

Journal of the Optical Society of America B

| OPTICAL PHYSICS

  • Editor: Henry van Driel
  • Vol. 29, Iss. 4 — Apr. 1, 2012
  • pp: 729–733

Dynamically configurable and optimizable Zeeman slower using permanent magnets and servomotors

G. Reinaudi, C. B. Osborn, K. Bega, and T. Zelevinsky  »View Author Affiliations


JOSA B, Vol. 29, Issue 4, pp. 729-733 (2012)
http://dx.doi.org/10.1364/JOSAB.29.000729


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Abstract

We report on the implementation of a dynamically configurable, servomotor-controlled, permanent magnet Zeeman slower for quantum optics experiments with ultracold atoms and molecules. This atom slower allows for switching between magnetic field profiles that are designed for different atomic species. Additionally, through feedback on the atom trapping rate, we demonstrate that computer-controlled genetic optimization algorithms applied to the magnet positions can be used in situ to obtain field profiles that maximize the trapping rate for any given experimental conditions. The device is lightweight, remotely controlled, and consumes no power in steady state; it is a step toward automated control of quantum optics experiments.

© 2012 Optical Society of America

OCIS Codes
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(020.3320) Atomic and molecular physics : Laser cooling

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: December 19, 2011
Manuscript Accepted: December 29, 2011
Published: March 20, 2012

Citation
G. Reinaudi, C. B. Osborn, K. Bega, and T. Zelevinsky, "Dynamically configurable and optimizable Zeeman slower using permanent magnets and servomotors," J. Opt. Soc. Am. B 29, 729-733 (2012)
http://www.opticsinfobase.org/josab/abstract.cfm?URI=josab-29-4-729


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References

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  10. http://atta.phys.columbia.edu .
  11. LabExe Program for Experimental Research, downloadable from http://allmyapps.com/apps/labexe . Video demonstration: http://vimeo.com/31039111 .
  12. Optimization API used: NLopt nonlinear-optimization package, http://ab-initio.mit.edu/nlopt , and Evolving Objects, http://eodev.sourceforge.net .

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