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Preliminary Thermoluminescent Dosimeter Glow Curve Analysis with Automated Glow Peak Identification for LiF Mg,Ti

Journal Article · · Health Physics
 [1];  [2];  [2];  [2];  [2]
  1. Univ. of Michigan, Ann Arbor, MI (United States); University of Michigan
  2. Univ. of Michigan, Ann Arbor, MI (United States)

When appropriately analyzed, thermoluminescent dosimeter glow curve analysis allows for improved quantification of thermoluminescent material behavior while flagging abnormalities. The mathematical separation of a glow curve into contributions from energetically unique trap states, or glow curve analysis, may be used to remove undesired effects of signal fading for complex materials. A generalized glow curve analysis software for the separation of glow curves is presented in this paper. Written in C++, the software uses the first-order kinetics model with automatic peak identification. The automatic identification of peaks is achieved through a unique peak-finding algorithm. Here, the program was performance tested using experimental glow curve data from LiF:Mg,Ti, and comparative results are presented.

Research Organization:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development
Grant/Contract Number:
NA0003920
OSTI ID:
1783289
Alternate ID(s):
OSTI ID: 1827834
Journal Information:
Health Physics, Journal Name: Health Physics Journal Issue: 2 Vol. 121; ISSN 0017-9078
Publisher:
Health Physics SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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