Statistical analysis of LDMX data
This thesis explores a statistical framework for analysing LDMX data. It uses pre-built functions in the ROOT framework to calculate likelihoods and confidence levels (CL). Data, background and signal were generated in Monte Carlo simulations with a loose veto on signal in the Hcal with simple systematic uncertainties (for the background and signal) created by varying this selection. The data sets
