Jingxu Bai
Measurement of the Near Field Distribution of a Microwave Horn Using a Resonant Atomic Probe
Bai, Jingxu; Fan, Jiabei; Hao, Liping; Spong, Nicholas L.R.; Jiao, Yuechun; Zhao, Jianming
Authors
Jiabei Fan
Liping Hao
Nicholas Leonard Robert Spong nicholas.l.spong@durham.ac.uk
PGR Student Doctor of Philosophy
Yuechun Jiao
Jianming Zhao
Abstract
We measure the near field distribution of a microwave horn with a resonant atomic probe. The microwave field emitted by a standard microwave horn is investigated utilizing Rydberg electromagnetically inducted transparency (EIT), an all-optical Rydberg detection, in a room temperature caesium vapor cell. The ground 6S1/2 , excited 6P3/2 , and Rydberg 56D5/2 states constitute a three-level system, used as an atomic probe to detect microwave electric fields by analyzing microwave dressed Autler–Townes (AT) splitting. We present a measurement of the electric field distribution of the microwave horn operating at 3.99 GHz in the near field, coupling the transition 56D5/2→57P3/2 . The microwave dressed AT spectrum reveals information on both the strength and polarization of the field emitted from the microwave horn simultaneously. The measurements are compared with field measurements obtained using a dipole metal probe, and with simulations of the electromagnetic simulated software (EMSS). The atomic probe measurement is in better agreement with the simulations than the metal probe. The deviation from the simulation of measurements taken with the atomic probe is smaller than the metal probe, improving by 1.6 dB. The symmetry of the amplitude distribution of the measured field is studied by comparing the measurements taken on either side of the field maxima.
Citation
Bai, J., Fan, J., Hao, L., Spong, N. L., Jiao, Y., & Zhao, J. (2019). Measurement of the Near Field Distribution of a Microwave Horn Using a Resonant Atomic Probe. Applied Sciences, 9(22), Article 4895. https://doi.org/10.3390/app9224895
Journal Article Type | Article |
---|---|
Online Publication Date | Nov 14, 2019 |
Publication Date | Nov 2, 2019 |
Deposit Date | Dec 6, 2019 |
Publicly Available Date | Dec 6, 2019 |
Journal | Applied Sciences |
Electronic ISSN | 2076-3417 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 22 |
Article Number | 4895 |
DOI | https://doi.org/10.3390/app9224895 |
Public URL | https://durham-repository.worktribe.com/output/1275853 |
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Publisher Licence URL
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Copyright Statement
© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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