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.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Doostmohammadi V, Sardari D, Nasrabadi AM (2010) Combined application of Monte Carlo method and neural networks to simulate qualitative prompt gamma neutron activation analysis. J Radioanal Nucl Chem 283:403–407
Hussain S (2010) IEEE, International conference on intelligent systems, modelling and simulation
FLUKA (2005) A multi-particle transport code, version 2005, CERN-2005-10, INFN TC. 05/11, SLAC-R-773
Fasso A et al (2005) FLUKA: a multi-particle transport code. CERN-2005-10, INFN/TC-05/11, SLAC-R-773
Fasso A et al (1995) Designing of electron accelerator shielding with FLUKA. CERN Internal report TIS-RP/IR/95-27, pp 643–649
Kalogirou SA (1999) Applications of artificial neural networks in energy systems A review. Energy Convers Manag 40(10):1073–1087
Özçalık HR, Küçüktüfekçi A (2003) Dinamik Sistemlerin Yapay Sinir Ağları ile Düz ve Ters Modellenmesi. KSÜ Fen ve Mühendislik Dergisi 6(1):26–35
Günoglu K, Mavi B, Akkurt İ (2011) Yapay Sinir Ağları (YSA) Yöntemi ile Global Radyasyon Tahmini. J New World Sci Acad 6–2:527–532
Imrie CE, Durucan S, Korre A (2000) River flow prediction using artificial neural networks: generalization beyond the calibration range. J Hydrol 233:138–153
Kartalopoulos SV (1996) Understanding neural networks and fuzzy logic: basic concepts and applications. IEEE Press, New York
Günoğlu K, Akkurt İ, Mavi B (2010) Estimation of daily solar temperature by ANN in Isparta. Second international conference on nuclear and renewable energy resources (NURER), Ankara
Funahashi K (1989) On the approximate realization of continuous mappings by neural networks. Neural Netw 2:183–192
Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Netw 2(5):359–366
Öztemel E (2003) Yapay sinir ağları. Papatya Yayıncılık, İstanbul
Sudheer KP, Gosain AK, Mohana Rangan D, Saheb SM (2002) Modelling evaporation using an artificial neural network algorithm. Hydrol Process 16:3189–3202
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gunoglu, K., Demir, N., Akkurt, I. et al. ANN modeling of the bremsstrahlung photon flux in tantalum target. Neural Comput & Applic 23, 1591–1595 (2013). https://doi.org/10.1007/s00521-012-1111-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-012-1111-2