Towards a Neural Network determination of Pion Fragmentation Functions

We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our...

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Detalles Bibliográficos
Autores principales: Bertone, Valerio, Carrazza, Stefano, Nocera, Emanuele R, Hartland, Nathan P, Rojo, Juan
Lenguaje:eng
Publicado: 2017
Materias:
Particle Physics - Phenomenology
Acceso en línea:http://cds.cern.ch/record/2253215
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author Bertone, Valerio
Carrazza, Stefano
Nocera, Emanuele R
Hartland, Nathan P
Rojo, Juan
author_facet Bertone, Valerio
Carrazza, Stefano
Nocera, Emanuele R
Hartland, Nathan P
Rojo, Juan
author_sort Bertone, Valerio
collection CERN
description We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.
id oai-inspirehep.net-1512989
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling oai-inspirehep.net-15129892021-05-03T20:01:53Zhttp://cds.cern.ch/record/2253215engBertone, ValerioCarrazza, StefanoNocera, Emanuele RHartland, Nathan PRojo, JuanTowards a Neural Network determination of Pion Fragmentation FunctionsParticle Physics - PhenomenologyWe present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.oai:inspirehep.net:15129892017
spellingShingle Particle Physics - Phenomenology
Bertone, Valerio
Carrazza, Stefano
Nocera, Emanuele R
Hartland, Nathan P
Rojo, Juan
Towards a Neural Network determination of Pion Fragmentation Functions
title Towards a Neural Network determination of Pion Fragmentation Functions
title_full Towards a Neural Network determination of Pion Fragmentation Functions
title_fullStr Towards a Neural Network determination of Pion Fragmentation Functions
title_full_unstemmed Towards a Neural Network determination of Pion Fragmentation Functions
title_short Towards a Neural Network determination of Pion Fragmentation Functions
title_sort towards a neural network determination of pion fragmentation functions
topic Particle Physics - Phenomenology
url http://cds.cern.ch/record/2253215
work_keys_str_mv AT bertonevalerio towardsaneuralnetworkdeterminationofpionfragmentationfunctions
AT carrazzastefano towardsaneuralnetworkdeterminationofpionfragmentationfunctions
AT noceraemanueler towardsaneuralnetworkdeterminationofpionfragmentationfunctions
AT hartlandnathanp towardsaneuralnetworkdeterminationofpionfragmentationfunctions
AT rojojuan towardsaneuralnetworkdeterminationofpionfragmentationfunctions

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