Artificial neural networks for data recovery in a Shashlik calorimeter

M. Bonesini; M. Paganoni; F. Terranova; S. Gumenyuk; L. Petrovyk

doi:10.1117/12.235978

22 March 1996 Artificial neural networks for data recovery in a Shashlik calorimeter

M. Bonesini, M. Paganoni, F. Terranova, S. Gumenyuk, L. Petrovyk

Proceedings Volume 2760, Applications and Science of Artificial Neural Networks II; (1996) https://doi.org/10.1117/12.235978
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Artificial Neural Networks (ANN) are a powerful tool widely used in High Energy Physics to solve track finding and particle identification problems. A entirely new class of application is related to the problem of recovering the information lost during data taking or signal transmission. Good performance can be reached by ANN when the events are described by quite regular patterns. Such a method was used for the DELPHI luminosity monitor to recover calorimeter dead channels. A comparison with more traditional techniques is also given.

Citation Download Citation

M. Bonesini, M. Paganoni, F. Terranova, S. Gumenyuk, and L. Petrovyk "Artificial neural networks for data recovery in a Shashlik calorimeter", Proc. SPIE 2760, Applications and Science of Artificial Neural Networks II, (22 March 1996); https://doi.org/10.1117/12.235978

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