Journal of Nuclear Science, Engineering and Technology (JONSAT)
In cooperation with the Iranian Nuclear Society

Investigation of the performance of Superheated Drop Detectors for unfolding fast neutron spectra produced by cosmic rays using an Adaptive Network-based Fuzzy Inference System (ANFIS)

Document Type : Research Paper

Authors

Sh. Badiei
P. Rezaeian

Radiation Application Research School, Nuclear Science and Technology Research Institute, P. O. Box 11365-3486, Tehran - Iran

https://doi.org/10.24200/nst.2021.974.1660
Abstract
In this paper, the fast neutron spectra at altitudes of 3 and 5 km were unfolded by the response of Superheated Drop Detectors and using an Adaptive Network-based Fuzzy Inference System (ANFIS). ANFIS is a Takagi-Sugeno Fuzzy Inference System implemented in the framework of adaptive networks. This tool works similarly to human thinking in dealing with uncertain and erroneous problems. The response matrix of five Superheated Drop Detectors under various external pressures was calculated by an application developed using the Geant4 simulation toolkit and was used to obtain inputs of ANFIS. Also, the neutron spectra of the IAEA technical reports were utilized as the targets. The reference spectra were unfolded with RMSEs of 0.005 and 0.011. The relative agreement between the unfolded and reference spectra shows that these detectors and ANFIS can be used as a new technique for unfolding neutron spectra produced by cosmic radiations in the atmosphere.

Keywords

Geant4
ANFIS
Fast neutron
Superheated drop detector
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