International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us

IJSTR >> Volume 3- Issue 3, March 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Optimizing Neutron Moderation Absorption Using Artificial Neural Network

[Full Text]



K. Hema



Index Terms: Neutron Moderation, Neutron Absorption, Artificial Neural Network, Optimized Simulated Algorithm, MATLAB Optimization and Control.



Abstract: Neutron interactions with matter can be either scattering or absorption reactions. Scattering can result in a change in the energy and direction of motion of a neutron but cannot directly cause the disappearance of a free neutron. Absorption leads to the disappearance of free neutrons as a result of a nuclear reaction with fission or the formation of a new nucleus and another particle or particles such as protons, alpha particles and gamma photons. Most materials have an absorption cross section that varies inverse with neutron velocity. Artificial neural network technique would be a perfect tool to determine the impact parameters from the experimental observables. One has only to train the network by theoretical simulations and then to feed the trained net work with experimental observables in order to obtain the impact parameter as the output of the network. Feed-forward networks have proven to be valuable tools for data analysis (classification of events, particle identification, function approximation, pattern recognition). The advantages of feed-forward nets are: the highly parallel algorithm, the flexibility because of their trainability, the capability to solve high-dimensional problems and the deterministic behavior.



[1]. Neural computing theory and practice. Van Nostrand Reinhold. http://www.epa.gov/ttn/caa/t3/reports/eurtc1.pdf

[2]. "Nuclear Power in the USA". World Nuclear Association June 2008

[3]. Jin Ma ; Dept. of Autom., North China Electr. Power Univ. Baoding,China ;Junli Fan ; Lixia Lv ; Liangyu Ma,”Reactivity Estimation of Combined Neural and Mechanical Model”,Power andEnergy Society meeting, IEEE, 2008

[4]. HO. Menlove, lE. Stewart, S.Z. Qiao, T.R Wenz, and G.P.D. Verrechia, "Neutron Collar Calibration and Evaluation for Assay of LWR Fuel Assemblies Containing Burnable Neutron Absorbers", LosAlamosNationalLaboratoryreportLA-11965-MS(ISPO-323).

[5]. M. Reginatto, “What can we learn about the spectrum of high-energy stray neutron fields from Bonner sphere measurements?” Radiation Measurements, vol. 44, no. 7-8, pp. 692–699, 2009

[6]. H. R. Vega-Carrillo, V. Hernandez-Davila, E. Manzanares-Acuña et al., “Neutron spectrometry using artificial neural networks,” Radiation Measurements, vol. 41, no. 4, pp. 425–431, 2006.