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.
|Titolo:||Neural network for off-line Z classification and energy calibration|
|Data di pubblicazione:||2000|
|Appare nelle tipologie:||1.1 Articolo in rivista|