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Revealing 226Ra Alpha Peak by a Multi-Pixel Photon Counter
Nuclear Science
Volume 3, Issue 3, September 2018, Pages: 36-39
Received: Sep. 30, 2018; Accepted: Oct. 17, 2018; Published: Nov. 13, 2018
Volume 3, Issue 3, September 2018, Pages: 36-39
Received: Sep. 30, 2018; Accepted: Oct. 17, 2018; Published: Nov. 13, 2018
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Authors
Elif Ebru Ermis, Faculty of Science, Ege University, Izmir, Turkey
Cuneyt Celiktas, Faculty of Science, Ege University, Izmir, Turkey
Abstract
226Ra alpha peak was revealed by a Multi-Pixel Photon Counter (MPPC) through a developed spectrometer. MPPC is consisted of silicon photomultipliers (Si-PM) which can be used for photon detection and measurement. It is one of the new generation counter types. It has been used in many research areas such as radiation detection and optics. So, this type detector was chosen so that this study is up-to-date. Main goal of the study is to obtain pure alpha energy spectrum because no study was found in the literature about the neat alpha spectrum by the MPPC. For this reason, coincidence gate method was used in the presented study to acquire the spectrum. In the first section, alpha spectrum was recorded directly via MPPC module. This spectrum had too much electronic noise. The spectrum was secondly obtained through the developed spectrometer. This second spectrum had not almost all noise components. Then, the obtained spectra were compared with each other at the final section. The asserted spectrometer was highly successful in obtaining neat alpha spectrum by reducing the most noise components. It has been realized that the neat source spectra of other radioactive sources can be achieved by using this spectrometer with MPPC. Additionally, students who work about radiation detection can use the suggested spectrometer in their experiments.
Keywords
Multi-Pixel Photon Counter, Alpha Spectrum, 226Ra
To cite this article
Elif Ebru Ermis,
Cuneyt Celiktas,
Revealing 226Ra Alpha Peak by a Multi-Pixel Photon Counter, Nuclear Science.
Vol. 3, No. 3,
2018, pp. 36-39.
doi: 10.11648/j.ns.20180303.12
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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