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Proceedings Paper

Hadron energy reconstruction by combined calorimetry using a neural network
Author(s): A. A. Sokolov; Thomas Lindblad; Clark S. Lindsey; Joakim T. A. Waldemark
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Paper 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.

Paper Details

Date Published: 22 March 1999
PDF: 5 pages
Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343060
Show Author Affiliations
A. A. Sokolov, Institute for High Energy Physics (Russia)
Thomas Lindblad, Royal Institute of Technology (Sweden)
Clark S. Lindsey, Royal Institute of Technology (Sweden)
Joakim T. A. Waldemark, Royal Institute of Technology (Sweden)


Published in SPIE Proceedings Vol. 3728:
Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks
Thomas Lindblad; Mary Lou Padgett; Jason M. Kinser, Editor(s)

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