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Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
1998
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/369624 |
| _version_ | 1780893054042898432 |
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| author | Seixas, J |
| author_facet | Seixas, J |
| author_sort | Seixas, J |
| collection | CERN |
| id | cern-369624 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 1998 |
| record_format | invenio |
| spelling | cern-3696242019-09-30T06:29:59Zhttp://cds.cern.ch/record/369624engSeixas, JUsing neural networks to learn energy correction factors: a case study for the ATLAS calorimeterDetectors and Experimental TechniquesCERN-TH-98-191oai:cds.cern.ch:3696241998 |
| spellingShingle | Detectors and Experimental Techniques Seixas, J Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title | Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title_full | Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title_fullStr | Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title_full_unstemmed | Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title_short | Using neural networks to learn energy correction factors: a case study for the ATLAS calorimeter |
| title_sort | using neural networks to learn energy correction factors: a case study for the atlas calorimeter |
| topic | Detectors and Experimental Techniques |
| url | http://cds.cern.ch/record/369624 |
| work_keys_str_mv | AT seixasj usingneuralnetworkstolearnenergycorrectionfactorsacasestudyfortheatlascalorimeter |