Quark-gluon tagging: Machine learning vs detector
Distinguishing quarks from gluons based on low-level detector output is one of the most challenging applications of multi-variate and machine learning techniques at the LHC. We first show the performance of our 4-vector-based LoLa tagger without and after considering detector effects. We then discus...
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| Format: | Article |
| Language: | English |
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SciPost
2019-06-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.6.6.069 |