Add to ORKGWe give a status report on the determination of a set of parton distributions based on neural networks. In particular, we summarize the determination of the nonsinglet quark distribution up to NNLO, we compare it with results obtained using other approaches, and we discuss its use for a determination of αs
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
A simpler neural-network approach is presented for the analysis of the top quark non-leptonic decay ...
We give a status report on the determination of a set of parton distributions based on neural networ...
We provide a determination of the isotriplet quark distribution from available deep-inelastic data u...
We provide a determination of the isotriplet quark distribution from available deep--inelastic data ...
We introduce the neural network approach to the parametrization of parton distributions. After a gen...
We present the determination of a set of parton distributions of the nucleon, at next-to-leading ord...
We will show an application of neural networks to extract informations on the structure of hadrons. ...
We summarize the main features of our approach to parton fitting, and we show a preliminary result f...
In this contribution, we present a status report on the recent progress towards an analysis of nucle...
We present a determination of the parton distributions of the nucleon from a global set of hard scat...
We present recent progress within the NNPDF parton analysis framework. After a brief review of the r...
We present recent progress within the NNPDF parton analysis framework. After a brief review of the ...
Neural networks (NNs) provide a powerful and flexible tool for selecting a signal from a larger back...
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
A simpler neural-network approach is presented for the analysis of the top quark non-leptonic decay ...
We give a status report on the determination of a set of parton distributions based on neural networ...
We provide a determination of the isotriplet quark distribution from available deep-inelastic data u...
We provide a determination of the isotriplet quark distribution from available deep--inelastic data ...
We introduce the neural network approach to the parametrization of parton distributions. After a gen...
We present the determination of a set of parton distributions of the nucleon, at next-to-leading ord...
We will show an application of neural networks to extract informations on the structure of hadrons. ...
We summarize the main features of our approach to parton fitting, and we show a preliminary result f...
In this contribution, we present a status report on the recent progress towards an analysis of nucle...
We present a determination of the parton distributions of the nucleon from a global set of hard scat...
We present recent progress within the NNPDF parton analysis framework. After a brief review of the r...
We present recent progress within the NNPDF parton analysis framework. After a brief review of the ...
Neural networks (NNs) provide a powerful and flexible tool for selecting a signal from a larger back...
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
We present recent results of the NNPDF collaboration on a full DIS analysis of Parton Distribution F...
A simpler neural-network approach is presented for the analysis of the top quark non-leptonic decay ...