Paper
10 February 1999 High-sensitivity thermoluminescence applied to environmental monitoring
K. J. Velbeck, L. Zhang, Joe E. Rotunda, Marko Moscovitch
Author Affiliations +
Proceedings Volume 3534, Environmental Monitoring and Remediation Technologies; (1999) https://doi.org/10.1117/12.339036
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
We describe the development of a new environmental TLD Dosemeter Badge and dose computation algorithm based on the new LiF:Mg,Cu,P material. LiF:Mg,Cu,P, with its high sensitivity, tissue equivalence, energy independence, and low fading characteristics, is a natural choice for environmental dosimetry. The badge consists of a card and a plastic holder. The card contains four LiF:Mg,Cu,P elements, each 3.2 mm square and 0.4 mm thick, encapsulated in TeflonR. The badge is symmetrical and uses four filters to discriminate low and high energy photons and to determine Directional Dose Equivalent, H'(0.07,(alpha) ), and Ambient Dose Equivalent, H*(10). Extensive data was taken based on irradiations of 920 dosemeters to both single and mixed fields of photons and betas. In addition, angular incidence data of various fields was taken. The approach to the algorithm is empirical and is based on this data. While most algorithms are based solely on perpendicular incidence exposure, this algorithm is being developed to account for the angular response of the dosemeter. This paper will present the algorithm for perpendicular irradiation; the angular response portion is in development. The dosemeter is designed to meet the criteria of the new draft standard ANSI N13.29, 'Environmental Dosimetry Performance -- Criteria for Testing.'
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. J. Velbeck, L. Zhang, Joe E. Rotunda, and Marko Moscovitch "High-sensitivity thermoluminescence applied to environmental monitoring", Proc. SPIE 3534, Environmental Monitoring and Remediation Technologies, (10 February 1999); https://doi.org/10.1117/12.339036
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KEYWORDS
Photons

Algorithm development

Environmental monitoring

Standards development

Neural networks

Calibration

Copper

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