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Information Journal Paper

Title

ESTIMATION OF BREMSSTRAHLUNG PHOTON FLUENCE FROM ALUMINUM BY ARTIFICIAL NEURAL NETWORK

Pages

  63-65

Keywords

ANN 
EGS 

Abstract

 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.

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    • Cite

    APA: Copy

    AKKURT, I., GUNOGLU, K., TEKIN, H.O., DEMIRCI, Z.N., YEGIN, G., & DEMIR, N.. (2012). ESTIMATION OF BREMSSTRAHLUNG PHOTON FLUENCE FROM ALUMINUM BY ARTIFICIAL NEURAL NETWORK. INTERNATIONAL JOURNAL OF RADIATION RESEARCH, 10(1), 63-65. SID. https://sid.ir/paper/286581/en

    Vancouver: Copy

    AKKURT I., GUNOGLU K., TEKIN H.O., DEMIRCI Z.N., YEGIN G., DEMIR N.. ESTIMATION OF BREMSSTRAHLUNG PHOTON FLUENCE FROM ALUMINUM BY ARTIFICIAL NEURAL NETWORK. INTERNATIONAL JOURNAL OF RADIATION RESEARCH[Internet]. 2012;10(1):63-65. Available from: https://sid.ir/paper/286581/en

    IEEE: Copy

    I. AKKURT, K. GUNOGLU, H.O. TEKIN, Z.N. DEMIRCI, G. YEGIN, and N. DEMIR, “ESTIMATION OF BREMSSTRAHLUNG PHOTON FLUENCE FROM ALUMINUM BY ARTIFICIAL NEURAL NETWORK,” INTERNATIONAL JOURNAL OF RADIATION RESEARCH, vol. 10, no. 1, pp. 63–65, 2012, [Online]. Available: https://sid.ir/paper/286581/en

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