New methods of data analysis for the E391 experiment |
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| Authors: | S Podolsky A Kurilin Yu Stepanenko |
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| Institution: | (1) Department of Soil and Environmental Sciences, National Chung Hsing University, 250, Kuo-Kuang Road, Taichung, Taiwan, 40227, Republic of China; |
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| 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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