We present a new paradigm for the simulation of arrays of Imaging AtmosphericCherenkov Telescopes (IACTs) which overcomes limitations of current approaches.Up to now, all major IACT experiments rely on the same Monte-Carlo simulationstrategy, using predefined observation and instrument settings. Simulationswith varying parameters are generated to provide better estimates of theInstrument Response Functions (IRFs) of different observations. However, alarge fraction of the simulation configuration remains preserved, leading tocomplete negligence of all related influences. Additionally, the simulationscheme relies on interpolations between different array configurations, whichare never fully reproducing the actual configuration for a given observation.Interpolations are usually performed on zenith angles, off-axis angles, arraymultiplicity, and the optical response of the instrument. With the advent ofhybrid systems consisting of a large number of IACTs with different sizes,types, and camera configurations, the complexity of the interpolation and thesize of the phase space becomes increasingly prohibitive. Going beyond theexisting approaches, we introduce a new simulation and analysis concept whichtakes into account the actual observation conditions as well as individualtelescope configurations of each observation run of a given data set. Theserun-wise simulations (RWS) thus exhibit considerably reduced systematicuncertainties compared to the existing approach, and are also morecomputationally efficient and simple. The RWS framework has been implemented inthe H.E.S.S. software and tested, and is already being exploited in scienceanalysis.
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