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Proceedings Paper

Strong Gaussian standing wave: an efficient tool for laser cooling of atomic beams
Author(s): Pavel Zemanek; Christopher J. Foot
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Paper Abstract

We propose an efficient method of cooling atoms in a strong Gaussian standing wave. The steep gradients of the atomic potential energy give rise to large dipole forces, which can be much stronger than the maximum radiation pressure force and can therefore stop atoms in a much shorter distance. We have simulated the cooling process using a semi-classical Monte- Carlo method, which includes the radial motion, in addition to the motion along the beams. Both motions are calculated directly without separation the dynamics into force and diffusion terms. To cool a large range of atomic velocities the frame in which the standing wave is at rest was swept by changing the frequencies of the counter-propagating beams, in a similar way to the well-known chirp cooling technique using the radiation pressure force. If the curvature of Gaussian beams far from beam waist is employed the radial motion and velocities can be reduced even for the blue detuning comparing to the near waist case. The simulations show that it is possible to stop caesium atoms in a distance of several centimeters (the exact value depends on the laser power, beam waist radius and acceptable chirping force) starting from the most probable velocity at room temperature. Narrower radial and wider axial velocity distribution was obtained for red detuning comparing with the blue one.

Paper Details

Date Published: 1 January 1998
PDF: 7 pages
Proc. SPIE 3320, Tenth Polish-Czech-Slovak Optical Conference: Wave and Quantum Aspects of Contemporary Optics, (1 January 1998); doi: 10.1117/12.301361
Show Author Affiliations
Pavel Zemanek, Institute of Scientific Instruments (Czech Republic)
Christopher J. Foot, Clarendon Lab. (United Kingdom)

Published in SPIE Proceedings Vol. 3320:
Tenth Polish-Czech-Slovak Optical Conference: Wave and Quantum Aspects of Contemporary Optics
Jerzy Nowak; Marek Zajac, Editor(s)

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