Discriminative detection of deposited radon daughters on CR-39 track detectors using TRIAC II code

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Patiris, D. L.
Ioannides, K. G.

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peer reviewed

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Nuclear Instruments & Methods in Physics Research Section B-Beam Interactions with Materials and Atoms

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A method for detecting deposited (218)Po and (214)Po by a spectrometric study of CR-39 solid state nuclear track detectors is described. The method is based on the application of software imposed selection criteria, concerning the geometrical and optical properties of the tracks, which correspond to tracks created by alpha particles of specific energy falling on the detector at given angles of incidence. The selection criteria were based on a preliminary study of tracks' parameters (major and minor axes and mean value of brightness), using the TRIAC II code. Since no linear relation was found between the energy and the geometric characteristics of the tracks (major and minor axes). we resorted to the use of an additional parameter in order to classify the tracks according to the particles' energy. Since the brightness of tracks is associated with the tracks' depth, the mean value of brightness was chosen as the parameter of choice. To reduce the energy of the particles, which are emitted by deposited (218)Po and (214)Po into a quantifiable range, the detectors were covered with an aluminum absorber material. In this way, the discrimination of radon's daughters was finally accomplished by properly selecting amongst all registered tracks. This method could be applied as a low cost tool for the study of the radon's daughters behavior in air. (C) 2009 Elsevier B.V. All rights reserved.

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radon daughters, deposited portion, ssntds, cr-39, triac ii, alpha particle spectroscopy, image analysis, alpha-particle spectroscopy, etched tracks, computation, parameters, profiles, energies, models, proton, system, growth

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<Go to ISI>://000268268000021
http://ac.els-cdn.com/S0168583X09005229/1-s2.0-S0168583X09005229-main.pdf?_tid=4dd3ebd0754904b618c05b29c2a844b0&acdnat=1334223234_a559577926b472b1917992e22b119fa2

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en

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Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιών

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