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Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter
We present a first proof of concept to directly use neural network based pattern recognition to trigger on distinct calorimeter signatures from displaced particles, such as those that arise from the decays of exotic long-lived particles. The study is performed for a high granularity forward calorime...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/15/12/P12006 http://cds.cern.ch/record/2718183 |