activity
20042020
most citedThe Large Hadron-Electron Collider at the HL-LHC

244 citations · 543 across the 15 of their papers we have counts for

collaborators

16 papers

hep-ex2020★ 244 cited

The Large Hadron-Electron Collider at the HL-LHC

P. Agostini, H. Aksakal, S. Alekhin +333

The Large Hadron electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting ener…

nucl-th2011

Gluons and the quark sea at high energies: distributions, polarization, tomography

D. Boer, M. Diehl, R. Milner +186

This report is based on a ten-week program on "Gluons and the quark sea at high-energies", which took place at the Institute for Nuclear Theory in Seattle in Fall 2010. The princip…

hep-ph2007★ 108 cited

Neural network determination of parton distributions: the nonsinglet case

The NNPDF Collaboration, Luigi Del Debbio, Stefano Forte +3

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 appr…

astro-ph2006★ 1 cited

Determination of the atmospheric neutrino fluxes from experimental data

M. C. Gonzalez-Garcia, Michele Maltoni, Joan Rojo

The precise knowledge of the atmospheric neutrino fluxes is a key ingredient in the interpretation of the results from any atmospheric neutrino experiment. In the standard atmosphe…

hep-ph2006

Neural network determination of the non-singlet quark distribution

Andrea Piccione, Joan Rojo

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 se…

hep-ph2006★ 5 cited

The neural network approach to parton distribution functions

Joan Rojo

We introduce the neural network approach to the parametrization of parton distributions. After a general introduction, we present in detail our approach to parametrize experimental…