0000000000515388
AUTHOR
M. Dima
Statistical methods for determining components non-liniarities, from thermoluminescent devices
Thermoluminescent (TLD) dosimeters enjoy wide usage due to low cost and simplicity of use. They have however large errors at high doses in mixed-radiation fields, where non-linear effects occur. Algorithms based on the Akaike criterion [1] are presented for determining the maximal (physically meaningful) polynomial order with which the non-linearities are modeled. This depends on the number of points existing on a curve and on the points' errors.
Modelling glow curves of thermoluminescent radiometric devices
Thermoluminescent (TLD) radiation dosimeters enjoy wide usage due to low cost and simplicity of use. They however require complex device modelling in order to extract the measured dose. A new glow peak model and fit method are presented, that offer a more robust fit to the glow-curves and allows operators to enter visually inspectable parameters (rather than physical quantities difficult to estimate from the visual inspection of the glow curves themselves). Fits performed on the GLOCANIN-challenge's RefGlow-002 and RefGlow-009 [2] are presented, highlighting the good performance of the GEMINI C++ code written.