ANN modeling of the bremsstrahlung photon flux in tantalum target

GÜNOĞLU K., DEMİR N., AKKURT İ., Demirci Z. N.

Neural Computing and Applications, vol.23, no.6, pp.1591-1595, 2013 (SCI-Expanded, Scopus) identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 6
  • Publication Date: 2013
  • Doi Number: 10.1007/s00521-012-1111-2
  • Journal Name: Neural Computing and Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1591-1595
  • Keywords: Artificial neural network, Bremsstrahlung photon, Monte Carlo, Tantalum
  • Isparta University of Applied Sciences Affiliated: No

Abstract

Bremsstrahlung photons produced by 15 MeV electron beam are simulated using the Monte Carlo code of FLUKA. Tantalum foils have been chosen as a target material in the simulation, and the obtained photon spectrum has been analyzed with artificial neural network (ANN) technique. In the training ANN model, the thicknesses and energy values of bremsstrahlung photons for the Ta target have been used as input. In this study, we observed that the trained ANN model is consistent with simulation results. © 2012 Springer-Verlag London Limited.