Quantization of polarization states through scattering mechanisms

Glafkos Stratis*, Alphonso Samuel, Salvatore Bellofiore, Mary Cassabaum, Ghassan Maalouli, Allen Taflove, Aggelos K Katsaggelos, Chris Penney

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we introduce a new technique that relates the split of polarization states through various scattering mechanisms. We use the finite-difference time domain (FDTD) method in our computations since, by its nature, FDTD can model an ultrawide band source and can separate the various scattering mechanisms by exploiting causality. The key idea is that, once a non-monochromatic wave is incident upon a scattering object, the various spectral components will be differently depolarized upon scattering depending upon the shape and material composition of the object. In the case studied here, all of the impinging spectral components are co-polarized (whereas arbitrary polarization distributions are permitted more generally). Fundamentally, we are exploring a concept similar to the split or quantization of energy states in quantum mechanics. We first introduce the concept of the quantization of polarization states, and then we explain the formulation of the "State Space Matrix" in relationship to the polarization gaps. Once the technique is introduced, we demonstrate its potential applications to realistic problems such as materials detection.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XIV
DOIs
StatePublished - Dec 1 2010
EventRadar Sensor Technology XIV - Orlando, FL, United States
Duration: Apr 5 2010Apr 7 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7669
ISSN (Print)0277-786X

Other

OtherRadar Sensor Technology XIV
CountryUnited States
CityOrlando, FL
Period4/5/104/7/10

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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