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20 November 2019 Polarization characterization based on multidimensional Stokes vectors applied in aerosol identification
Riwei Liao, Nan Zeng
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Proceedings Volume 11192, Real-time Photonic Measurements, Data Management, and Processing IV; 111920K (2019) https://doi.org/10.1117/12.2536716
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China
Abstract
Characterizing chemical and physical aerosol properties is important to understand their sources, effects, and feedback mechanisms in the atmosphere. In this study, a classification scheme based on multidimensional polarization central spectrum (including P-Hdop, P-Pdop, R-Hdop, R-Pdop at scattering angle 30°, 60°, 85°, 115° respectively) were developing to classify aerosol type. The scheme is obtained thanks to the outstanding set of information on aerosol composition and morphology these polarization properties contain. All these polarization data are recorded in real-time and on each individually flowing aerosol particle in our equipment. Several continuous particles signals are averaged to reduce the measurement uncertainty and size dependence, then high temporal resolution and polarization feature resolution can be obtained simultaneously in our method. Several Standard atmospheric aerosols generated in laboratory are identified and their polarization scattering signatures were evaluated. Experiment results were interpreted based on numerical simulations (Mie theory) to investigate polarization properties resolved by particle complex refractive index and shape. Results of this exploratory study proved useful in drawing a general spectrum database build on multidimensional polarization index to optically identify aerosol types in real time.
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Riwei Liao and Nan Zeng "Polarization characterization based on multidimensional Stokes vectors applied in aerosol identification", Proc. SPIE 11192, Real-time Photonic Measurements, Data Management, and Processing IV, 111920K (20 November 2019); https://doi.org/10.1117/12.2536716
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KEYWORDS
Polarization
Aerosols
Atmospheric particles
Scattering
Environmental monitoring
Statistical analysis
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