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Machine learning techniques for razor triggers
My project was focused on the development of a neural network which can predict if an event passes or not a razor trigger. Using synthetic data containing jets and missing transverse energy we built and trained a razor network by supervised learning. We accomplished a ∼ 91% agreement between the out...
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| Lenguaje: | eng |
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2015
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| Acceso en línea: | http://cds.cern.ch/record/2046071 |