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Quantitative simulation of a magneto-optical trap operating near the photon recoil limit

Hanley, Ryan K.; Huillery, Paul; Keegan, Niamh C.; Bounds, Alistair D.; Faoro, R.; Jones, Matthew P.A.

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Authors

Ryan K. Hanley

Paul Huillery

Niamh C. Keegan

Alistair D. Bounds

R. Faoro



Abstract

We present a quantitative model for magneto-optical traps operating on narrow transitions, where the transition linewidth and the recoil shift are comparable. We combine a quantum treatment of the light scattering process with a Monte-Carlo simulation of the atomic motion. By comparing our model to an experiment operating on the 5s21S0→5s5p3P15s21S0→5s5p3P1 transition in strontium, we show that it quantitatively reproduces the cloud size, position, temperature and dynamics over a wide range of operating conditions, without any adjustable parameters. We also present an extension of the model that quantitatively reproduces the transfer of atoms into a far off-resonance dipole trap, highlighting its use as a tool for optimizing complex cold atom experiments.

Citation

Hanley, R. K., Huillery, P., Keegan, N. C., Bounds, A. D., Faoro, R., & Jones, M. P. (2018). Quantitative simulation of a magneto-optical trap operating near the photon recoil limit. Journal of Modern Optics, 65(5-6), 667-676. https://doi.org/10.1080/09500340.2017.1401679

Journal Article Type Article
Acceptance Date Oct 18, 2017
Online Publication Date Nov 22, 2017
Publication Date Mar 30, 2018
Deposit Date Jun 15, 2017
Publicly Available Date Nov 23, 2017
Journal Journal of Modern Optics
Print ISSN 0950-0340
Electronic ISSN 1362-3044
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 65
Issue 5-6
Pages 667-676
DOI https://doi.org/10.1080/09500340.2017.1401679

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Published Journal Article (Advance online version) (2.9 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Advance online version © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Accepted Journal Article (Revised version) (2.4 Mb)
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Copyright Statement
Revised version






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