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Efficiency parametrization of b-tagging classifier using Graph Neural Networks
In high-energy physics experiments, estimating the efficiency of a process using selection cuts is a widely used technique. However, this method is limited by the number of events that could be simulated in the required analysis phase space. A way to improve this sensitivity is to use efficiency wei...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2839921 |