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Deep learning in jet reconstruction at CMS
Deep learning has led to several breakthroughs outside the field of high energy physics, yet in jet reconstruction for the CMS experiment at the CERN LHC it has not been used so far. This report shows results of applying deep learning strategies to jet reconstruction at the stage of identifying the...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/4/042029 http://cds.cern.ch/record/2293134 |