Artificial Neural Network for Unfolding Accelerator-based Neutron Spectrum by Means of Multiple-foil Activation Method

Kin, Tadahiro; Sanzen, Yukimasa; Kamida, Masaki; Aoki, Katsumi; Araki, Naoto; Watanabe, Yukinobu

doi:10.1109/nssmic.2017.8532892

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…Unfortunately, NAA provides a non-unique solution. Both Bonner sphere and neutron activation methods rely on an unfolding (deconvolution optimisation) algorithm, which depends on a priori information, called the initial or guess spectrum [21][22][23][24][25][26][27][28][29] . This guess spectrum can be obtained using Monte Carlo simulation models, for example using Geant4, MCNPX or PHITS 30,31 .…”

Section: Introductionmentioning

confidence: 99%

A Monte Carlo model of the Dingo thermal neutron imaging beamline

Jakubowski

Chacon

Tran

et al. 2023

Preprint

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In this study, we present a validated Geant4 Monte Carlo simulation model of the Dingo thermal neutron imaging beamline at the Australian Centre for Neutron Scattering. The model, constructed using CAD drawings of the entire beam transport path and shielding structures, is designed to precisely predict the in-beam neutron field at the position at the sample irradiation stage. The model’s performance was assessed by comparing simulation results to various experimental measurements, including planar spatial thermal neutron distribution obtained in-beam using gold foil activation and 10B4C-coated microdosimeters and the out-of-beam neutron spectra measured with Bonner spheres. The simulation results demonstrated that the predicted neutron fluence at the field’s centre is within 8.1% and 2.1% of the gold foil and 10B4C-coated microdosimeter measurements, respectively. The logarithms of the ratios of average simulated to experimental fluences in the thermal (Eth < 0.414 eV), epithermal (0.414 eV < Eepi < 11.7 keV) and fast (Efast > 11.7 keV) spectral regions were approximately -0.03 to +0.1, -0.2 to +0.15, and -0.4 to +0.2, respectively. Furthermore, the predicted thermal, epithermal and fast neutron components in-beam at the sample stage position constituted approximately 18%, 64% and 18% of the total neutron fluence.

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Section: Introductionmentioning

confidence: 99%

A Monte Carlo model of the Dingo thermal neutron imaging beamline

Jakubowski

Chacon

Tran

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

A Monte Carlo model of the Dingo thermal neutron imaging beamline

Jakubowski,

Chacon,

Tran

et al. 2023

Sci Rep

View full text Add to dashboard Cite

In this study, we present a validated Geant4 Monte Carlo simulation model of the Dingo thermal neutron imaging beamline at the Australian Centre for Neutron Scattering. The model, constructed using CAD drawings of the entire beam transport path and shielding structures, is designed to precisely predict the in-beam neutron field at the position at the sample irradiation stage. The model’s performance was assessed by comparing simulation results to various experimental measurements, including planar thermal neutron distribution obtained in-beam using gold foil activation and $$^{10}$$ 10 B$$_{4}$$ 4 C-coated microdosimeters and the out-of-beam neutron spectra measured with Bonner spheres. The simulation results demonstrated that the predicted neutron fluence at the field’s centre is within 8.1% and 2.1% of the gold foil and $$^{10}$$ 10 B$$_{4}$$ 4 C-coated microdosimeter measurements, respectively. The logarithms of the ratios of average simulated to experimental fluences in the thermal (E$$_{th}<$$ th < 0.414 eV), epithermal (0.414 eV < E$$_{epi}<$$ epi < 11.7 keV) and fast (E$$_{fast}>$$ fast > 11.7 keV) spectral regions were approximately − 0.03 to + 0.1, − 0.2 to + 0.15, and − 0.4 to + 0.2, respectively. Furthermore, the predicted thermal, epithermal and fast neutron components in-beam at the sample stage position constituted approximately 18%, 64% and 18% of the total neutron fluence.

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