The quest for very high energy ɣ-rays

Abstract

In this thesis a development and comparative study of a γ-Hadron separation for simulation and data measured by the First G-APD Cherenkov Telescope (FACT) is presented. The γ-Hadron separation uses a Random Forest algorithm in order to suppress the hadronic background and is evaluated on Monte Carlo simulations for the established analysis software MARS as well as for the newly developed software FACTTools. The results are applied to Crab Nebula data measured by FACT, whereas the separation leads to improved γ-ray signal detections. The γ-ray signal of the Crab Nebula is detected with a significance of 50.93 σ. Additionally, a differential energy spectrum is unfolded between 250 GeV and 16 TeV and a light curve in the same energy range is evaluated. The results are consistent with the results of other experiments.