Time-of-flight discrimination between gamma-rays and neutrons by neural networks

Serkan Akkoyun

doi:10.1016/j.anucene.2013.01.006

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arXiv · 1207.1561

Time-of-flight discrimination between gamma-rays and neutrons by neural networks

Serkan Akkoyun

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Abstract

In gamma-ray spectroscopy, a number of neutrons are emitted from the nuclei together with the gamma-rays and these neutrons influence gamma-ray spectra. An obvious method of separating between neutrons and gamma-rays is based on the time-of-flight (tof) technique. This work aims obtaining tof distributions of gamma-rays and neutrons by using feed-forward artificial neural network (ANN). It was shown that, ANN can correctly classify gamma-ray and neutron events. Testing of trained networks on experimental data clearly shows up tof discrimination of gamma-rays and neutrons.

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BibTeX RIS

Serkan Akkoyun. 2012-07-06. Time-of-flight discrimination between gamma-rays and neutrons by neural networks. https://doi.org/10.1016/j.anucene.2013.01.006

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