Title of article
Applications of neural networks to shower analysis in a highly segmented LAr calorimeter
Author/Authors
Hِppner، نويسنده , , M and Wegener، نويسنده , , D، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
Pages
3
From page
154
To page
156
Abstract
A new method was developed to evaluate the signals of a calorimeter with neural networks. After training with simulated data, energy reconstruction and particle identification is possible. The method was developed for the liquid argon calorimeter of the H1 experiment at DESY in Hamburg, Germany, but it uses quantities which are available at any segmented calorimeter.
Keywords
Particle identification , NEURAL NETWORKS , Evolutionary algorithms , Calorimeter , Energy reconstruction
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
1997
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
2175296
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