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

Citations