Ryan K. Hanley
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.
Authors
Paul Huillery
Niamh C. Keegan
Alistair D. Bounds
R. Faoro
Professor Matthew Jones m.p.a.jones@durham.ac.uk
Professor
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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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.
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