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Applied Radiation and Isotopes
journal homepage: www.elsevier.com/locate/apradiso
Validation of gamma scanning method for optimizing NaI(Tl) detector
model in Monte Carlo simulation
Huynh Dinh Chuong
a
, Nguyen Quoc Hung
b
, Nguyen Thi My Le
b,c
, Vo Hoang Nguyen
b
,
Tran Thien Thanh
a,b,∗
a
Nuclear Technique Laboratory, University of Science, VNU-HCM, Viet Nam
b
Department of Nuclear Physics, Faculty of Physics and Engineering Physics, University of Science, VNU-HCM, Viet Nam
c
Faculty of Applied Sciences, Ho Chi Minh City University of Technology and Education, Viet Nam
HIGHLIGHTS
•
A model for NaI(Tl) detector was optimized according to the experimental results of the scanning on front and lateral surfaces of the detector with a collimated
low-energy photon beams.
•
The measured efciencies with energies between 30 and 1408 keV for point sources at distances of 0 cm and 30 cm from source to detector were determined.
•
The simulated efciencies were calculated using MCNP6 code.
•
Good agreement was obtained between measured and simulated efciencies for the optimized model.
ARTICLEINFO
Keywords:
NaI(Tl) detector
Gamma scanning
Monte Carlo simulation
MCNP6 code
Efciency calibration
ABSTRACT
The aim of this study is the validation of gamma scanning method for optimizing NaI(Tl) detector model in
Monte Carlo simulation. The experimental procedure involved: scanning on front and lateral surfaces of the
detector with collimated low-energy photon beam; calibrating the efciency with energies between 31-1408 keV
for point sources at distances of 0 cm and 30 cm from source to the detector. The Monte Carlo code used for the
simulations was MCNP6. The diameter and the length of crystal were determined according to the measured
results of gamma scanning with a collimated
241
Am radioactive source. The distance from window to crystal was
estimated using transmission measurement recorded on a second detector. The density of refector was adjusted
to obtain the match between measured and simulated values of efciency ratio of 81 and 31 keV from a
133
Ba
radioactive source. The optimized model was applied in Monte Carlo simulations to determine the efciency and
energy spectrum response function of NaI(Tl) detector for point source measurements in two confgurations.
Good agreement was obtained between measured and simulated results.
1. Introduction
Thallium-activated sodium iodide – NaI(Tl) detectors are commonly
used for gamma-ray spectroscopy, mainly because of their high detec-
tion efciency, easy maintenance and cost efectiveness. The important
features of these detectors are the energy spectrum response function
and the efciency, including full energy peak efciency (FEPE) and
total efciency (TE). The accurate FEPE calibration curve of NaI(Tl)
detectors is required for most of the radioactive monitoring applications
(Grujic et al., 2013; Hung et al., 2016; Thanh et al., 2016). The TE
calibration curve must be determined for several algorithms of true
coincidence summing correction (Kanisch et al., 2009). Some applica-
tions, such as full spectrum analysis (Caciolli et al., 2012) and spectral
unfolding algorithm (Baré and Tondeur, 2011), demand also a good
database of the energy spectrum response function generated by photon
sources. The experimental determination of these features requires the
preparation of standard sources, which is quite expensive and time
consuming for the laboratories. Especially for in-situ measurements
with large samples, such as the monitoring of radioactivity levels in the
feld, marine environment, waste drum, surface contamination etc., the
experimental calibration is very difcult. In such cases, the simulation
techniques are more suitable.
https://doi.org/10.1016/j.apradiso.2019.04.009
Received 19 August 2018; Received in revised form 7 March 2019; Accepted 5 April 2019
∗
Corresponding author. Department of Nuclear Physics Faculty of Physics and Engineering Physics University of Science, VNU-HCM, 227, Nguyen Van Cu Street,
District 5, Ho Chi Minh City, Viet Nam.
E-mail address: ttthanh@hcmus.edu.vn (T.T. Thanh).
Applied Radiation and Isotopes 149 (2019) 1–8
Available online 10 April 2019
0969-8043/ © 2019 Elsevier Ltd. All rights reserved.
T