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Parton Distribution Function Uncertainties

We present parton distribution functions which include a quantitative estimate of its uncertainties. The parton distribution functions are optimized with respect to deep inelastic proton data, expressing the uncertainties as a density measure over the functional space of parton distribution function...

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Detalles Bibliográficos
Autores principales: Giele, Walter T., Keller, Stephane A., Kosower, David A.
Lenguaje:eng
Publicado: 2001
Materias:
Acceso en línea:http://cds.cern.ch/record/494128
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author Giele, Walter T.
Keller, Stephane A.
Kosower, David A.
author_facet Giele, Walter T.
Keller, Stephane A.
Kosower, David A.
author_sort Giele, Walter T.
collection CERN
description We present parton distribution functions which include a quantitative estimate of its uncertainties. The parton distribution functions are optimized with respect to deep inelastic proton data, expressing the uncertainties as a density measure over the functional space of parton distribution functions. This leads to a convenient method of propagating the parton distribution function uncertainties to new observables, now expressing the uncertainty as a density in the prediction of the observable. New measurements can easily be included in the optimized sets as added weight functions to the density measure. Using the optimized method nowhere in the analysis compromises have to be made with regard to the treatment of the uncertainties.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
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spelling cern-4941282021-10-04T02:10:45Zhttp://cds.cern.ch/record/494128engGiele, Walter T.Keller, Stephane A.Kosower, David A.Parton Distribution Function UncertaintiesParticle Physics - PhenomenologyWe present parton distribution functions which include a quantitative estimate of its uncertainties. The parton distribution functions are optimized with respect to deep inelastic proton data, expressing the uncertainties as a density measure over the functional space of parton distribution functions. This leads to a convenient method of propagating the parton distribution function uncertainties to new observables, now expressing the uncertainty as a density in the prediction of the observable. New measurements can easily be included in the optimized sets as added weight functions to the density measure. Using the optimized method nowhere in the analysis compromises have to be made with regard to the treatment of the uncertainties.We present parton distribution functions which include a quantitative estimate of its uncertainties. The parton distribution functions are optimized with respect to deep inelastic proton data, expressing the uncertainties as a density measure over the functional space of parton distribution functions. This leads to a convenient method of propagating the parton distribution function uncertainties to new observables, now expressing the uncertainty as a density in the prediction of the observable. New measurements can easily be included in the optimized sets as added weight functions to the density measure. Using the optimized method nowhere in the analysis compromises have to be made with regard to the treatment of the uncertainties.hep-ph/0104052FERMILAB-PUB-01-498-TSACLAY-SPHT-T-2001-165oai:cds.cern.ch:4941282001-04-04
spellingShingle Particle Physics - Phenomenology
Giele, Walter T.
Keller, Stephane A.
Kosower, David A.
Parton Distribution Function Uncertainties
title Parton Distribution Function Uncertainties
title_full Parton Distribution Function Uncertainties
title_fullStr Parton Distribution Function Uncertainties
title_full_unstemmed Parton Distribution Function Uncertainties
title_short Parton Distribution Function Uncertainties
title_sort parton distribution function uncertainties
topic Particle Physics - Phenomenology
url http://cds.cern.ch/record/494128
work_keys_str_mv AT gielewaltert partondistributionfunctionuncertainties
AT kellerstephanea partondistributionfunctionuncertainties
AT kosowerdavida partondistributionfunctionuncertainties