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Modeling NNLO jet corrections with neural networks
We present a preliminary strategy for modeling multidimensional distributions through neural networks. We study the efficiency of the proposed strategy by considering as input data the two-dimensional next-to-next leading order (NNLO) jet k-factors distribution for the ATLAS 7 TeV 2011 data. We then...
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| Lenguaje: | eng |
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2017
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| Acceso en línea: | https://dx.doi.org/10.5506/APhysPolB.48.947 http://cds.cern.ch/record/2261144 |