Neural network parametrization of deep-inelastic structure functions
por
José Ignacio Latorre
(Universitat de Barcelona)
→
Europe/Madrid
Sala Seminarios IFIC (Edf. Institutos de Investigación)
Sala Seminarios IFIC
Edf. Institutos de Investigación
Descripción
Deep-inelastic structure functions are parametrized using a Monte Carlo generated ensemble of neural networks. This method provides an effective measure in the space of structure functions with a small bias that allows the handling of errors and their correlations.