Umar, Abubakar Aliyu and Hamzah, Khaidzir and Mohammed Saleh, Muneer Aziz and Ghoshal, Sibkrishna and Muhammad Rawi, Muhammad and Umar, Sadiq and Adesoloye, Jonah Sunday and Danladi, Jatau Bashir (2019) Nigeria research reactor-1 : vertical detector efficiency calibration using conventional and semi-empirical approach for large samples NAA implementation. Malaysian Journal of Fundamental and Applied Sciences, 15 (2). pp. 282-290. ISSN 2289-5981
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Official URL: https://dx.doi.org/10.11113/mjfas.v15n2.1018
Abstract
Detector efficiency calibration is mandatory for accurate measurement of induced activity in irradiated samples and for safe operation of the reactor with minimal uncertainty. This paper reported the efficiency calibration of vertically dIpstick High Purity Germanium detector, installed at the Centre for Energy Research and Training, Ahmadu Bello University Zaria for the purpose of large sample Neutron Activation Analysis (NAA) using Nigeria research reactor-1 (NIRR-1). The performance of the detector was evaluated for the radioisotope activity measurements during the reactor operation for large samples neutron activation analysis. The detector performance in terms of radioisotopes detection ability was inspected using the standard conventional and semi-empirical approaches. The full energy peak efficiencies were determined at the corresponding energies for three different geometries (source to detector distance of 1, 5 and 10 cm). The semi-empirical approach produced better and precise results that logically rhymed with theory than the traditional approach. Besides that, a consistency in the nature of the graphs and values were evidenced. The determined efficiencies and their corresponding energies revealed encouraging outcome and ensured the successful NAA for large samples of different material compositions.
Item Type: | Article |
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Uncontrolled Keywords: | NIRR-1, HPGe detector, efficiency calibration, conventional approach, semi-empirical approach, LSNAA |
Subjects: | Q Science > QC Physics |
Divisions: | Science |
ID Code: | 84986 |
Deposited By: | Fazli Masari |
Deposited On: | 29 Feb 2020 13:35 |
Last Modified: | 29 Feb 2020 13:35 |
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