Technique for magnetic moment reconstruction of laser-cooled atoms using direct imaging and prospects for measuring magnetic sublevel distributions
العنوان: | Technique for magnetic moment reconstruction of laser-cooled atoms using direct imaging and prospects for measuring magnetic sublevel distributions |
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المؤلفون: | A. Pouliot, Adam Carew, S. Winter, H. C. Beica, G. Carlse, T. Vacheresse, A. Kumarakrishnan |
المصدر: | Journal of the Optical Society of America B. 37:1419 |
بيانات النشر: | Optica Publishing Group, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Physics, Field (physics), Magnetic moment, Statistical and Nonlinear Physics, Laser, 01 natural sciences, Atomic and Molecular Physics, and Optics, Displacement (vector), 010305 fluids & plasmas, Magnetic field, law.invention, Computational physics, Optical pumping, Light intensity, Ultracold atom, law, 0103 physical sciences, 010306 general physics |
الوصف: | We describe a simple time-of-flight technique for measuring the magnetic moment of an optically pumped magneto-optical trap. The technique relies on free-expansion imaging of a cold atom cloud in a small magnetic field gradient without the need to detect spatial separation between magnetic sublevels. We find that the effective acceleration of the cloud can be used to characterize extreme state optical pumping. In the general case, we show that the integrated displacement of the falling cloud can be accurately modeled using rate equation simulations of magnetic sublevel populations, and knowledge of local magnetic fields, field gradients, and light intensities. The agreement between the model and the data allows the reconstruction of magnetic moments and suggests that this technique may be suitable for the measurement of population distributions over a range of optical pumping conditions. |
تدمد: | 1520-8540 0740-3224 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e57e4284a3e8891446ed394692be693e https://doi.org/10.1364/josab.388995 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........e57e4284a3e8891446ed394692be693e |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15208540 07403224 |
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