Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Piccione, Andrea"'
We analyse in detail the QED corrections to the total decay width and the moments of the electron energy spectrum of the inclusive semi-leptonic $B \to X_c e \nu$ decay. Our calculation includes short-distance electroweak corrections, the complete ${
Externí odkaz:
http://arxiv.org/abs/2309.02849
Akademický článek
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Publikováno v:
JHEP 0911:060,2009
Determinations of structure functions and parton distribution functions have been recently obtained using Monte Carlo methods and neural networks as universal, unbiased interpolants for the unknown functional dependence. In this work the same methods
Externí odkaz:
http://arxiv.org/abs/0907.2506
Autor:
The NNPDF Collaboration, Ball, Richard D., Del Debbio, Luigi, Forte, Stefano, Guffanti, Alberto, Latorre, Jose I., Piccione, Andrea, Rojo, Juan, Ubiali, Maria
Publikováno v:
Nucl.Phys.B823:195-233,2009
We use recent neutrino dimuon production data combined with a global deep-inelastic parton fit to construct a new parton set, NNPDF1.2, which includes a determination of the strange and antistrange distributions of the nucleon. The result is characte
Externí odkaz:
http://arxiv.org/abs/0906.1958
Akademický článek
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Autor:
NNPDF Collaboration, Rojo, Juan, Ball, Richard D., Del Debbio, Luigi, Forte, Stefano, Guffanti, Alberto, Latorre, Jose I., Piccione, Andrea, Ubiali, Maria
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-s
Externí odkaz:
http://arxiv.org/abs/0811.2288
Autor:
Ball, Richard D., Del Debbio, Luigi, Forte, Stefano, Guffanti, Alberto, Latorre, Jose I., Piccione, Andrea, Rojo, Juan, Ubiali, Maria
Publikováno v:
Nucl.Phys.B809:1-63,2009; Erratum-ibid B816:293,2009
We present the determination of a set of parton distributions of the nucleon, at next-to-leading order, from a global set of deep-inelastic scattering data: NNPDF1.0. The determination is based on a Monte Carlo approach, with neural networks used as
Externí odkaz:
http://arxiv.org/abs/0808.1231
Autor:
The NNPDF Collaboration, Del Debbio, Luigi, Forte, Stefano, Latorre, Jose I., Piccione, Andrea, Rojo, Joan
Publikováno v:
JHEP 0703:039,2007
We provide a determination of the isotriplet quark distribution from available deep--inelastic data using neural networks. We give a general introduction to the neural network approach to parton distributions, which provides a solution to the problem
Externí odkaz:
http://arxiv.org/abs/hep-ph/0701127
Autor:
Piccione, Andrea, Rojo, Joan
We summarize the main features of our approach to parton fitting, and we show a preliminary result for the non-singlet structure function. When comparing our result to other PDF sets, we find a better description of large x data and larger error band
Externí odkaz:
http://arxiv.org/abs/hep-ph/0607199
Autor:
Piccione, Andrea, Rojo, Joan
Publikováno v:
Nucl.Instrum.Meth. A559 (2006) 203-206
We will show an application of neural networks to extract information on the structure of hadrons. A Monte Carlo over experimental data is performed to correctly reproduce data errors and correlations. A neural network is then trained on each Monte C
Externí odkaz:
http://arxiv.org/abs/hep-ph/0509067