Predicting Polarized Light Scattering by Marine Micro-Organisms.

Abstract

The objectives of this research is to develop a numerical or analytical model that predicts angle-dependent scattering of polarized light from ensembles of non-spherical marine organisms and marine detritus and to verify and examine the validity and range of applications of the model by comparison with exact calculations and/or experimental results as appropriate. Specific tasks toward the objectives are: (1) to develop an artificial neural network to recognize features in the scattering matrix elements associated with the irregular shape of oceanic scatterers, and (2) to refine and enhance the coupled-dipole approximation method. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA289796

Entities

People

  • Patricia G. Hull

Organizations

  • Tennessee State University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Aquatic Organisms
  • Bacteria
  • Ellipsoids
  • Euler Angles
  • Experimental Data
  • Light Scattering
  • Mathematics
  • Measurement
  • Neural Networks
  • Oceans
  • Particle Size
  • Particles
  • Refraction
  • Refractive Index
  • Scattering
  • Students
  • Visible Spectra

Readers

  • Computational Modeling and Simulation
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Marine Ecotoxicology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks