Abstract
We propose a new method for γ-direction measurements for the CsI calorimeter of the E391 experiment. This method is based on using the GRRBF neural network. By using this method, the sensitivity of the E391 experiment could be significantly increased. Current results could be applied to other experiments in which the same γ detector is used.
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Podolsky, S., Kurilin, A. & Stepanenko, Y. New methods of data analysis for the E391 experiment. Phys. Part. Nuclei Lett. 8, 498–501 (2011). https://doi.org/10.1134/S1547477111050141
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DOI: https://doi.org/10.1134/S1547477111050141