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Accelerating dark matter search in emulsion SHiP detector by deep learning
We introduce a novel approach for the reconstruction of particle properties for the SHiP detector. The SHiP experiment significantly focuses on finding effects of dark matter particle interaction. A characteristic trace of such an interaction is an electromagnetic shower. Our algorithm aims to recon...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
IOP
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1525/1/012087 http://cds.cern.ch/record/2725606 |