Machine learning techniques for jet flavour identification at CMS
Jet flavour identification is a fundamental component of the physics program of the LHC-based experiments. The presence of multiple flavours to be identified leads to a multiclass classification problem. We present results from a realistic simulation of the CMS detector, one of two multi-purpose det...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_06010.pdf |