ML-based top taggers: Performance, uncertainty and impact of tower & tracker data integration
Machine learning algorithms have the capacity to discern intricate features directly from raw data. We demonstrated the performance of top taggers built upon three machine learning architectures: a BDT that uses jet-level variables (high-level features, HLF) as input, a CNN (a miniature version of R...
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| Format: | Article |
| Language: | English |
| Published: |
SciPost
2024-12-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.17.6.166 |
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