Speaker
Mr
Emanuele Roberto Nocera
(Università degli Studi di Milano & INFN Milano,Italy)
Description
We discuss how a Monte Carlo set of polarized parton distributions, based on inclusive DIS data only, can be supplemented with the experimental information coming from other processes via Bayesian reweighting.
We briefly summarize the features of the reweighting technique and we use it to test the impact of open charm muoproduction and $W^\pm$ production data on a neural network, DIS-based, parton fit.
Author
Mr
Emanuele Roberto Nocera
(Università degli Studi di Milano & INFN Milano,Italy)