Particle scattering induced orbital angular momentum spectrum change of vector Bessel–Gaussian vortex beam

Shi, C., Cheng, M., Gui, L., Lavery, M. P.J. , Wang, P., Liu, S., Li, R. and Li, J. (2022) Particle scattering induced orbital angular momentum spectrum change of vector Bessel–Gaussian vortex beam. Remote Sensing, 14(18), 4550. (doi: 10.3390/rs14184550)

Abstract

In this paper, we obtain the intensity and phase distributions of the scattering and external fields of a vector Bessel–Gaussian vortex beam in the far-field region after being scattered by a particle. In our analysis, we use the Generalized Lorenz–Mie theory (GLMT) and the angular spectrum decomposition method (ASDM). The orbital angular momentum (OAM) spectra of the fields are analyzed by using the spiral spectrum expansion method, which is a frequently used tool for studying the propagation of vortex beams in turbulent atmospheres. Both scattered and external fields show a significant difference in spiral spectra for particles with different characteristic parameters, such as the size and complex refractive index. We also examine sampling the phase along with a circle and show that it is unable to fully express the information of the fields. This study can provide a theoretical basis for the inversion of characteristic parameters of the Bessel–Gaussian vortex beam and spherical particle by OAM spectra with applications in remote sensing engineering.

• Item Type: Articles
• Additional Information: This research was supported by the National Natural Science Foundation of China (Grant No. U20B2059, 61627901, 61901336, 61905186), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 61621005), the Fundamental Research Funds for the Central Universities (Grant No. YJS2208, QTZX22037).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lavery, Professor Martin

Creator Roles

Lavery, M. P.J.,: Conceptualization, Methodology, Writing – review and editing

• Authors: Shi, C., Cheng, M., Gui, L., Lavery, M. P.J., Wang, P., Liu, S., Li, R., and Li, J.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Remote Sensing
• Publisher: MDPI
• ISSN: 2072-4292
• ISSN (Online): 2072-4292
• Published Online: 12 September 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in Remote Sensing 14(18): 4550
• Publisher Policy: Reproduced under a Creative Commons License