Data di Pubblicazione:
2017
Citazione:
Modelling NNLO jet corrections with neural networks / S. Carrazza. - In: ACTA PHYSICA POLONICA B. - ISSN 0587-4254. - 48:6(2017 Jun), pp. 947-954. ((Intervento presentato al convegno Cracow Epiphany Conference on Particle Theory Meets the First Data from LHC Run 2 tenutosi a Krakow nel 2017 [10.5506/APhysPolB.48.947].
Abstract:
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 kappa-factors distribution for the ATLAS 7 TeV 2011 data. We then validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models.
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
S. Carrazza
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