In this work a neural network has been used to reconstruct the energy 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. (C) 2000 Elsevier Science B.V. All rights reserved.

Energy calibration and particle recognition by a neural network

TUDISCO, SALVATORE
2000-01-01

Abstract

In this work a neural network has been used to reconstruct the energy 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. (C) 2000 Elsevier Science B.V. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/243457
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