| Autor: |
Jinhong Kim, Seunghyeon Kim, Siwon Song, Jae Hyung Park, Jin Ho Kim, Taeseob Lim, Cheol Ho Pyeon, Bongsoo Lee |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Nuclear Engineering and Technology, Vol 53, Iss 10, Pp 3431-3437 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1738-5733 |
| DOI: |
10.1016/j.net.2021.04.019 |
| Popis: |
In this study, one-dimensional gamma ray source positions are estimated using a plastic scintillating optical fiber, two photon counters and via data processing with a machine learning algorithm. A nonlinear regression algorithm is used to construct a machine learning model for the position estimation of radioactive sources. The position estimation results of radioactive sources using machine learning are compared with the theoretical position estimation results based on the same measured data. Various tests at the source positions are conducted to determine the improvement in the accuracy of source position estimation. In addition, an evaluation is performed to compare the change in accuracy when varying the number of training datasets. The proposed one-dimensional gamma ray source position estimation system with plastic scintillating fiber using machine learning algorithm can be used as radioactive leakage scanners at disposal sites. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
