کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8250000 | 1533383 | 2017 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Clustering analysis as a new automatic method for distinguishing static and dynamic exposure to high energetic gamma rays using thermoluminescence detectors and a reader with a CCD camera
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this study, we developed a new automatic method for distinguishing static and dynamic exposure to high energetic gamma rays using thermoluminescent LiF:Mg,Cu,P detectors with customized geometry and a reader with a CCD (Charge-Coupled Device) camera. The original TLDtool software was developed further for this study. We conducted measurements in 69 experiments that tested exposure to radiation with photons at an energy of 661Â keV in three different conditions (static, static angular, and dynamic) in the dose range appropriate to standard radiation protection practices (1-25Â mSv). After registering the CCD camera, images of the dose distribution on the detector's surface were processed and analyzed using the TLDtool desktop application. The reprocessed images were automatically classified to the dynamic or static ionizing radiation exposure groups by the k-means clustering algorithm implemented in the TLDtool. The images were successfully classified at a rate of 100% by the software for the two test configurations of the dosimeter. Thus, we developed an innovative approach that uses a data clustering algorithm for analyzing dosimetric quantities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Radiation Measurements - Volume 107, December 2017, Pages 33-38
Journal: Radiation Measurements - Volume 107, December 2017, Pages 33-38
نویسندگان
Ewa Nalichowska, Renata KopeÄ, Mariusz KÅosowski,