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- W1999913383 abstract "A neural network is used to determine the impact parameter in ${}^{40}$Ca+${}^{40}$Ca reactions. The effect of the detection efficiency as well as the model dependence of the training procedure has been studied carefully. An overall improvement of the impact parameter determination of 25% is obtained using this technique. The analysis of Amphora ${}^{40}$Ca+${}^{40}$Ca data at 35 MeV per nucleon using a neural network shows two well-separated classes of events among the selected ``complete'' events." @default.
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- W1999913383 date "1997-03-01" @default.
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- W1999913383 title "Impact parameter determination in experimental analysis using a neural network" @default.
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- W1999913383 doi "https://doi.org/10.1103/physrevc.55.1371" @default.
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