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Proceedings Paper

Polarization characterization based on multidimensional Stokes vectors applied in aerosol identification
Author(s): Riwei Liao; Nan Zeng
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Paper 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.

Paper Details

Date Published: 20 November 2019
PDF: 5 pages
Proc. SPIE 11192, Real-time Photonic Measurements, Data Management, and Processing IV, 111920K (20 November 2019); doi: 10.1117/12.2536716
Show Author Affiliations
Riwei Liao, Tsinghua Univ. Shenzhen International Graduate School (China)
Tsinghua Univ. (China)
Nan Zeng, Tsinghua Univ. Shenzhen International Graduate School (China)


Published in SPIE Proceedings Vol. 11192:
Real-time Photonic Measurements, Data Management, and Processing IV
Ming Li; Bahram Jalali; Mohammad Hossein Asghari, Editor(s)

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