TY - JOUR

T1 - A semi-empirical approach to estimate the parameters determining the LR-115 detector response in radon measurements

AU - Rojas, Jhonny

AU - Palacios, Daniel

AU - Pereyra, Patrizia

AU - Pérez, Bertin

AU - Bohus, Laszlo Sajo

AU - López, María Elena

N1 - Publisher Copyright:
© 2018 Elsevier Ltd

PY - 2018/11

Y1 - 2018/11

N2 - One way to estimate the calibration factor (CF) of an LR-115 detector within a diffusion chamber by Monte Carlo (MC) simulation requires as input parameters the energy window (ΔE), the dependence of critical angle with energy [θc = f(E)] or mean critical angle (<θc>), and the air fraction of 218Po atoms (f1). Using simulated tracks and MC techniques, it was demonstrated that <θc> can replace θc = f(E) relatively accurate. Results of numerical examples validate the correct performance of developed MC code. A semi-empirical approach to estimating the parameters Emin, Emax, <θc> and f1 is presented. The method is based on the calculation of the CFs by means of MC simulations (Ssim) for the range of expected input parameters values and their comparison with the experimental CF (Sexp). Parameters that minimized the deviations between Sexp and Ssim were obtained through successive iterations. <θc> was the parameter with the most marked and differentiated tendency to converge. The energy window and mean critical angle for our etching conditions, track counting method, and environmental conditions during exposure of LR-115 detectors were [1.5 ± 0.3, 4.0 ± 0.2]MeV and (56.1 ± 6.6)° respectively. The air fraction f1 was found to be 0.1 for most of the used diffusion chambers. The comparison of radon concentrations obtained with the reference and test monitors, using in the latters the CFs simulated with the mean values of found parameters, demonstrate that the proposed method is applicable if uncertainties around 20% are accepted.

AB - One way to estimate the calibration factor (CF) of an LR-115 detector within a diffusion chamber by Monte Carlo (MC) simulation requires as input parameters the energy window (ΔE), the dependence of critical angle with energy [θc = f(E)] or mean critical angle (<θc>), and the air fraction of 218Po atoms (f1). Using simulated tracks and MC techniques, it was demonstrated that <θc> can replace θc = f(E) relatively accurate. Results of numerical examples validate the correct performance of developed MC code. A semi-empirical approach to estimating the parameters Emin, Emax, <θc> and f1 is presented. The method is based on the calculation of the CFs by means of MC simulations (Ssim) for the range of expected input parameters values and their comparison with the experimental CF (Sexp). Parameters that minimized the deviations between Sexp and Ssim were obtained through successive iterations. <θc> was the parameter with the most marked and differentiated tendency to converge. The energy window and mean critical angle for our etching conditions, track counting method, and environmental conditions during exposure of LR-115 detectors were [1.5 ± 0.3, 4.0 ± 0.2]MeV and (56.1 ± 6.6)° respectively. The air fraction f1 was found to be 0.1 for most of the used diffusion chambers. The comparison of radon concentrations obtained with the reference and test monitors, using in the latters the CFs simulated with the mean values of found parameters, demonstrate that the proposed method is applicable if uncertainties around 20% are accepted.

KW - Critical angle

KW - Diffusion chamber

KW - Energy window

KW - LR-115 detector

KW - Monte Carlo simulation

KW - Radon

UR - http://www.scopus.com/inward/record.url?scp=85051785154&partnerID=8YFLogxK

U2 - 10.1016/j.radmeas.2018.08.005

DO - 10.1016/j.radmeas.2018.08.005

M3 - Article

AN - SCOPUS:85051785154

SN - 1350-4487

VL - 118

SP - 36

EP - 42

JO - Radiation Measurements

JF - Radiation Measurements

ER -