- Remote sensing of algal blooms in inland waters using the matrix inversion method and semiempirical algorithms

Author(s):  
Ian Adsley ◽  
Richard K. Bull ◽  
Claire Burgess

In a previous paper (1) it was proposed that a simple matrix inversion method could be used to extract source distributions from gamma-count maps, using simple models to calculate the response matrix. The method was tested using numerically generated count maps. In the present work a 100 kBq Co60 source has been placed on a gridded surface and the count rate measured using a NaI scintillation detector. The resulting map of gamma counts was used as input to the matrix inversion procedure and the source position recovered. A multisource array was simulated by superposition of several single-source count maps and the source distribution was again recovered using matrix inversion. The measurements were performed for several detector heights. The effects of uncertainties in source-detector distances on the matrix-inversion method are also examined. The results from this work give confidence in the application of the method to practical applications, such as the segregation of highly active objects amongst fuel-element debris.


2003 ◽  
Vol 10 (02n03) ◽  
pp. 493-497 ◽  
Author(s):  
Y. Y. Sun ◽  
A. T. S. Wee ◽  
A. C. H. Huan

A computational-time-saving scheme for quantitative LEED analysis by the matrix inversion method was studied. Two computational-time-critical parameters, the number of atomic layers (Nl) in the surface slab and the number of ion-core scattering phase shifts (l max ), were tested for energy dependence. Our study on a Cu(210) surface shows that no dependence of Nl on the incident energy exists in the energy range of LEED (50–400 eV), i.e. using energy-dependent Nl is not feasible. The effect of slab thickness reduction on the precision of the Pendry R-factor based best-fit structure search was then studied. This study provides a guide to the selection of surface slab thickness in quantitative LEED analysis by the matrix inversion method. Also, we show that using an energy-dependent l max can save nearly half of the overall computational time for obtaining a set of I–V curves by the matrix inversion method.


Radio Science ◽  
2019 ◽  
Vol 54 (3) ◽  
pp. 268-280 ◽  
Author(s):  
Nilmini Karunarathne ◽  
Sumedhe Karunarathne ◽  
Thomas C. Marshall ◽  
Maribeth Stolzenburg

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