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Adversarial Neural Network-based data-simulation corrections for heavy-flavour jet-tagging
Variable-dependent scale factors are used in heavy-flavour jet-tagging to improve shape agreement of data and simulation. The choice of the underlying model is of great importance, but often requires a lot of manual tuning e.g. of bin sizes or fitted functions. This is a novel and generalized method...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2666647 |