dE/dx discriminator for beyond the standard model disappearing tracks (original) (raw)

2018

Abstract

The aim of this CERN Summer School Project is to study how to discrimate a BSM disappearing tracks using the dE/dx. Such a disappearing tracks is the product of a new charged particles (called chargino) decaying within the tracker volume. The research is focused on chargino with a short life time. Therefore a Dense Neural Network is developed, that using the dE/dx of the four layers of the inner tracker as main feature, allows the discrimination of the background and the signal serched

Colomba Brancaccio hasn't uploaded this paper.

Let Colomba know you want this paper to be uploaded.

Ask for this paper to be uploaded.