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Machine Learning Algorithms for $b$-Jet Tagging at the ATLAS Experiment
The separation of $b$-quark initiated jets from those coming from lighter quark flavors ($b$-tagging) is a fundamental tool for the ATLAS physics program at the CERN Large Hadron Collider. The most powerful $b$-tagging algorithms combine information from low-level taggers, exploiting reconstructed t...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1085/4/042031 http://cds.cern.ch/record/2289214 |