252Cf source-correlated transmission measurements and genetic programming for nuclear safeguards

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@Article{Pozzi:2002:252Cf,

• author = "Sara A. Pozzi and J. Segovia",
• title = "252Cf source-correlated transmission measurements and genetic programming for nuclear safeguards",
• journal = "Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",
• year = "2002",
• volume = "491",
• pages = "326--341",
• number = "1-2",
• abstract = "One of the main targets of nuclear safeguards is to determine the mass and enrichment of fissile samples enclosed in special, non-accessible containers. we present a method to estimate the mass of uranium oxide samples based on 252Cf source-driven noise-analysis measurements. We show that the mass of the samples can be successfully predicted using a genetic programming algorithm. The input presented to the algorithm was in the form of features extracted from the physical properties of the measured correlation functions.",
• owner = "wlangdon",
• URL = "http://www.sciencedirect.com/science/article/B6TJM-4639JX6-2/2/d30724a2c0a57d2132380c1dd742a106",
• keywords = "genetic algorithms, genetic programming, Correlation measurements, Sample identification, Neutron detection, Nuclear safeguards",
• DOI = "doi:10.1016/S0168-9002(02)01120-8",
• notes = "PACS classification codes: 29.90.+r; 29.40.Mc; 28.20.Gd",

}

Genetic Programming entries for Sara A Pozzi Javier Segovia

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