In this work a neural network has been used to reconstruct the residual energy after the first stage and classify the atomic number of the particles detected in a Silicon-CsI Delta E-E telescope. The adopted net is described and the whole procedure has been compared with the standard calibration methods for the E stage.

Neural network for off-line Z classification and energy calibration

TUDISCO, SALVATORE;
2000

Abstract

In this work a neural network has been used to reconstruct the residual energy after the first stage and classify the atomic number of the particles detected in a Silicon-CsI Delta E-E telescope. The adopted net is described and the whole procedure has been compared with the standard calibration methods for the E stage.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/245898
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