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End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
We describe the construction of novel end-to-end jet image classifiers to discriminate quark- versus gluon-initiated jets using the simulated CMS Open Data. These multi-detector images correspond to true maps of the low-level energy deposits in the detector, giving the classifiers direct access to t...
| Autores principales: | , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2020.164304 http://cds.cern.ch/record/2666540 |