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;
2000-01-01
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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
