FACT - Monte Carlo noise generation

The generation of the Monte Carlo data for the First G-APD Cherenkov Telescope (FACT) consists of several steps, one of them being the creation of noise. This includes varying night sky background light and contributions from the electronics. The current approach is simulating each contribution individually and adding them up. This has several shortcomings, as it needs full knowledge about all the different noise sources and their structure. In this contribution, instead of trying to simulate the static noise sources, we evaluate the option of extracting the necessary noise information from real data, taken directly with the detector. This is done by using dedicated measurements with a random trigger as background which is then superimposed with simulations of Cherenkov showers. We will present the method used and compare it to the current approach.