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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Detalles Bibliográficos
Autor principal: Carrazza, Stefano
Lenguaje:eng
Publicado: 2017
Materias:
hep-ph
Particle Physics - Phenomenology
Acceso en línea:https://dx.doi.org/10.5506/APhysPolB.48.947
http://cds.cern.ch/record/2261144
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author Carrazza, Stefano
author_facet Carrazza, Stefano
author_sort Carrazza, Stefano
collection CERN
description 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 validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models.
id cern-2261144
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22611442023-03-14T19:36:55Zdoi:10.5506/APhysPolB.48.947http://cds.cern.ch/record/2261144engCarrazza, StefanoModeling NNLO jet corrections with neural networkshep-phParticle Physics - PhenomenologyWe 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 validate the neural network model in terms of interpolation and prediction quality by comparing its results to alternative models.arXiv:1704.00471CERN-TH-2017-076oai:cds.cern.ch:22611442017
spellingShingle hep-ph
Particle Physics - Phenomenology
Carrazza, Stefano
Modeling NNLO jet corrections with neural networks
title Modeling NNLO jet corrections with neural networks
title_full Modeling NNLO jet corrections with neural networks
title_fullStr Modeling NNLO jet corrections with neural networks
title_full_unstemmed Modeling NNLO jet corrections with neural networks
title_short Modeling NNLO jet corrections with neural networks
title_sort modeling nnlo jet corrections with neural networks
topic hep-ph
Particle Physics - Phenomenology
url https://dx.doi.org/10.5506/APhysPolB.48.947
http://cds.cern.ch/record/2261144
work_keys_str_mv AT carrazzastefano modelingnnlojetcorrectionswithneuralnetworks

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