A neural network for off-line Z classification and energy calibration

Details A neural network for off-line Z classification and energy calibration A neural network for off-line Z classification and energy calibration

Apr 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aipc..513..318t&link_type=abstract

NUCLEAR AND CONDENSED MATTER PHYSICS: VI Regional Conference. AIP Conference Proceedings, Volume 513, pp. 318-321 (2000).

Physics

Condensed Matter

Neural Networks, Solid-State Detectors

Scientific paper

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 ΔE-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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