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Use of Artificial Neural Networks for Improvement of CMS Hadron Calorimeter Resolution
The Compact Muon Solenoid (CMS) experiment features an electromagnetic calorimeter (ECAL) composed of lead tungstate crystals and a sampling hadronic calorimeter (HCAL) made of brass and scintillator, along with other detectors. For hadrons, the response of the electromagnetic and hadronic calorimet...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1192821 |