Creating Observations

An ObservationCollection can be created by simulating observations or by loading them from external files. It’s also possible to manually create an ObservationCollection from a list of SingleObservationSet objects or to create a new collection after filtering or splitting an existing one.

This section covers the different methods for creating observation collections in Tudat(Py):

• Simulating observations: Generate synthetic observations using observation models

• Loading real tracking data: Import observations from external data sources (MPC, ODF, TNF, IFMS, FDETS)

• Pseudo-observations: Create observations from external ephemerides

• Manual observations creation: Create observation collections starting from python objects such as numpy arrays.

The following pages provide detailed information on each method.