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Study on $ H\rightarrow b\bar b $ tagger Robustness against Changes in QCD Background Generation
A neural network is used to tag large-radius jets as originating from a $H\rightarrow b\bar b$ decay. This study shows that the performance of the tagger is dependent on the MC generator used to generate the training samples. Alternative training setups are investigated to mitigate this effect.
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2779989 |
| Sumario: | A neural network is used to tag large-radius jets as originating from a $H\rightarrow b\bar b$ decay. This study shows that the performance of the tagger is dependent on the MC generator used to generate the training samples. Alternative training setups are investigated to mitigate this effect. |
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