Neural network parametrization of deep-inelastic structure functions

por José Ignacio Latorre (Universitat de Barcelona)

viernes 7 feb. 2003 12:00 → 13:00 Europe/Madrid

Sala Seminarios IFIC (Edf. Institutos de Investigación)

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.