5 papers · 1 filter
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…
Determination of the Atmospheric Neutrino Fluxes from Atmospheric Neutrino Data
M. C. Gonzalez-Garcia, M. Maltoni, J. 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…
Heavy meson semileptonic differential decay rate in two dimensions in the large Nc
Jorge Mondejar, Antonio Pineda, Joan Rojo
We study QCD in 1+1 dimensions in the large limit using light-front Hamiltonian perturbation theory in the expansion. We use this formalism to exactly compute hadroni…
Borel resummation of soft gluon radiation and higher twists
Stefano Forte, Giovanni Ridolfi, Joan Rojo +1
We show that the well-known divergence of the perturbative expansion of resummed results for processes such as deep-inelastic scattering and Drell-Yan in the soft limit can be trea…
A probability measure in the space of spectral functions and structure functions
Joan Rojo
We present a novel technique to parametrize experimental data, based on the construction of a probability measure in the space of functions, which retains the full experimental inf…