Modelling generalized parton distributions to describe deeply virtual Compton scattering data

We present a new model for generalized parton distributions (GPDs), based on the aligned jet model, which successfully describes the deeply virtual Compton scattering (DVCS) data from H1, ZEUS, HERMES and CLAS. We also present an easily implementable and flexible algorithm for their construction. This new model is necessary since the most popular models for GPDs, which are based on double distributions incorporating their known mathematical properties, in their current form cannot describe the DVCS data when employed in a full QCD analysis. We demonstrate explicitly why this is the case and indicate the sizes and shapes that GPDs from this type of model ought to have in order to be able to describe the DVCS data. We also highlight several non-perturbative input parameters which could be used to tune the GPDs, and the t-dependence, to the DVCS data using a fitting procedure