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001     296889
005     20211110133832.0
024 7 _ |a 10.3204/DESY-PROC-2009-01/58
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024 7 _ |a arXiv:0811.2288
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024 7 _ |a inspire:802577
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037 _ _ |a PUBDB-2016-01663
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088 1 _ |a arXiv:0811.2288
088 _ _ |a arXiv:0811.2288
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100 1 _ |a Rojo, Juan
|0 P:(DE-HGF)0
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111 2 _ |0 C08-09-15.2
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|a 38th International Symposium on Multiparticle Dynamics
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|d 2008-09-15 - 2008-09-20
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245 _ _ |a Update on Neural Network Parton Distributions: NNPDF1.1
260 _ _ |a Hamburg
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300 _ _ |a 73-77
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520 _ _ |a We present recent progress within the NNPDF parton analysis framework. After a brief review of the results from the DIS NNPDF analysis, NNPDF1.0, we discuss results from an updated analysis with independent parametrizations for the strange and anti-strange distributions, denoted by NNPDF1.1. We examine the phenomenological implications of this improved analysis for the strange PDFs.
536 _ _ |a Experiments at LHC (other) (POF1-510)
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588 _ _ |a Dataset connected to INSPIRE
693 _ _ |a LHC
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700 1 _ |a Ball, Richard D.
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700 1 _ |a Del Debbio, Luigi
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700 1 _ |a Forte, Stefano
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700 1 _ |a Guffanti, Alberto
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700 1 _ |a Latorre, Jose I.
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700 1 _ |a Piccione, Andrea
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700 1 _ |a Ubiali, Maria
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700 1 _ |a NNPDF Collaboration
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773 _ _ |a 10.3204/DESY-PROC-2009-01/58
787 0 _ |a Bartels, J. et.al.
|d Hamburg : DESY, 2009
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|r arXiv:0902.0377; DESY-PROC-2009-01
|t Proceedings of the 38th International Symposium on Multiparticle Dynamics (ISMD08)
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