Hadron energy reconstruction by combined calorimetry using a neural network

A. A. Sokolov; Thomas Lindblad; Clark S. Lindsey; Joakim T. A. Waldemark

doi:10.1117/12.343060

22 March 1999 Hadron energy reconstruction by combined calorimetry using a neural network

A. A. Sokolov, Thomas Lindblad, Clark S. Lindsey, Joakim T. A. Waldemark

Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343060
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden

Abstract

The energy event reconstruction for non-leptonic decays of the Z in the DELPHI experiment is a complicated task. The energy resolution is dependent considerably from the neutral hadrons energy measurement in the electromagnetic and hadron calorimeter of the detector.

Citation Download Citation

A. A. Sokolov, Thomas Lindblad, Clark S. Lindsey, and Joakim T. A. Waldemark "Hadron energy reconstruction by combined calorimetry using a neural network", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343060

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