Identification of long lived charginos in the CMS pixel tracker with a Deep Neural Network

In many models of physics beyond the Standard Model (BSM), Dark Matter (DM) particles are part of some multiplet and could be produced from the decay of other states in the multiplet. An example of this is the production of SUSY neutralinos from chargino decays. The mass split between the two states could be very small, such that the DM partner could become long-living and decay far from the interaction region. In this report is investigated a scenario where the decay occurs before the strip tracker resulting on a short track hard to distinguish from the background and pile-up. The analysis used here focused on the energy deposit in the pixel tracker by using a deep neural network.