Using gammapy.makers to reduce DL3 level data into a MapDataset. All Maker classes represent a step in the data reduction process. They take the configuration on initialization of the class. They also consistently define .run() methods, which take a dataset object and optionally an Observation object. In this way, Maker classes can be chained to define more complex data reduction pipelines. The output of the code example is shown in Fig. A.5.