Accession Number : ADA289796

Title :   Predicting Polarized Light Scattering by Marine Micro-Organisms.

Descriptive Note : Annual rept.,

Corporate Author : TENNESSEE STATE UNIV NASHVILLE DEPT OF PHYSICS MATHEMATICS AND COMPUTER SCIEN CE

Personal Author(s) : Hull, Patricia G.

PDF Url : ADA289796

Report Date : 1995

Pagination or Media Count : 11

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)

Descriptors :   *LIGHT SCATTERING, *NEURAL NETS, MATHEMATICAL MODELS, POLARIZATION, EXPERIMENTAL DATA, BACTERIA, COMPARISON, TARGET RECOGNITION, MIE SCATTERING, MATHEMATICAL PREDICTION, DIPOLES, MARINE BIOLOGY, PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE, COMPUTER PROGRAM VERIFICATION, SEA WATER, ASPECT RATIO.

Subject Categories : Cybernetics
      Optics
      Biological Oceanography

Distribution Statement : APPROVED FOR PUBLIC RELEASE