Measuring QCD Splittings with Invertible Networks
QCD splittings are among the most fundamental theory concepts at the LHC. We show how they can be studied systematically with the help of invertible neural networks. These networks work with sub-jet information to extract fundamental parameters from jet samples. Our approach expands the LEP measu...
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| Format: | Article |
| Language: | English |
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SciPost
2021-06-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.10.6.126 |