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Estimation of bremsstrahlung photon fluence from aluminum by artificial neural network
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I. Akkurt   , K. Gunoglu , H.O. Tekin , Z.N. Demirci , G. Yegin , D. Demir |
| , iskenderakkurt@sdu.edu.tr |
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Abstract: (7964 Views) |
| Background: As bremsstrahlung photon beam
fluence is important parameter to be known in a
photonuclear reaction experiment as the number of
produced particle is strongly depends on photon
fluence. Materials and Methods: Photon production
yield from different thickness of aluminum target has
been estimated using artificial neural network (ANN)
model. Target thickness and incoming electron
energy has been used as input in ANN model and the
photon fluence was output. Results: The results were
estimated using ANN model for three different
thickness and compared with the results obtained by
EGS (Electron Gamma Shower) simulation.
Conclusion: It can be concluded from this work that
the bremsstrahlung photon fluence can be obtained
using ANN model. Iran. J. Radiat. Res., 2012 10(1):
63-65
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| Keywords: ANN, EGS, photon fluence |
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Full-Text [PDF 441 kb]
(2538 Downloads)
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Type of Study: Original Research |
Subject:
Radiation Biology
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