CHIARELLI G.

We test and optimize a multivariate discriminant software package, based on the Support Vector Machine (SVM) algorithm, to reduce the multi-jet background events in the channel pp̄ → eν + jj̄. We use the CDFII data-set, collected at the TeVatron pp̄ ollider, where this channel provides the signature for many important physics processes: e.g....

We optimized a multivariate discriminant software package, based on the Support Vector Machine (SVM) algorithm, to reduce the multi-jet background events in the channel pp̄ → ev + jj̄. This channel is important for many physics searches but the multi-jet background can be large and it is difficult to model. We developed a package which allows...