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PyTorch Neural Networks and Track Analysis for Top Quark Tagging
The identification of top quarks is motivated by their high mass and strong coupling to the Higgs mechanism. Boosted top quarks also allow for improved measurements of the Standard Model in the high momentum tails of event feature distributions. Neural networks have been proven as an effective metho...
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| Lenguaje: | eng |
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2687996 |