Abstract
In the present work, an alpha spectroscopic method using CR39 nuclear track detectors is being evaluated, elaborating on track parameters from different alpha particle sources. The freely-available, Java-based ImageJ software was used to obtain the major and minor axis length, the area and the mean gray level of the recorded tracks. A multi-paramater approach based on Principal Component Analysis of the data was subsequently applied and succeeded in grouping the recorded tracks according to alpha-particle energy. The methodology was further applied for the separation of radon progeny on CR39 detectors exposed in a radon chamber.
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