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A computerized glow curve analysis (GCA) method for WinREMS thermoluminescent dosimeter data using MATLAB.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine (2011-05-13)
John A Harvey, Miesher L Rodrigues, Kimberlee J Kearfott
ABSTRACT

A computerized glow curve analysis (GCA) program for handling of thermoluminescence data originating from WinREMS is presented. The MATLAB program fits the glow peaks using the first-order kinetics model. Tested materials are LiF:Mg,Ti, CaF(2):Dy, CaF(2):Tm, CaF(2):Mn, LiF:Mg,Cu,P, and CaSO(4):Dy, with most having an average figure of merit (FOM) of 1.3% or less, with CaSO(4):Dy 2.2% or less. Output is a list of fit parameters, peak areas, and graphs for each fit, evaluating each glow curve in 1.5 s or less.

MATERIALS
Product Number
Brand
Product Description

Sigma-Aldrich
Lithium fluoride, BioUltra, ≥99.0% (F)
Sigma-Aldrich
Lithium fluoride, Precipitated, 99.995%
Sigma-Aldrich
Lithium fluoride, powder, -300 mesh
Sigma-Aldrich
Lithium fluoride, ≥99.99% trace metals basis
Sigma-Aldrich
Lithium fluoride, powder, <100 μm, ≥99.98% trace metals basis
Sigma-Aldrich
Lithium-6Li fluoride, 95 atom % 6Li, 99% (CP)