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This is in relation to tudat-team/tudatpy-examples#28. I want to do some analysis on the residuals per observatory. Currently, I have a convoluted way of receiving this list:
residuals_observatories = observation_collection.concatenated_link_definition_ids
unique_observatories = set(residuals_observatories)
observatory_link_to_mpccode = {
idx: observation_collection.link_definition_ids[idx][
observation.LinkEndType.receiver
].reference_point
for idx in unique_observatories
}
concatenated_receiving_observatories = np.array(
[observatory_link_to_mpccode[idx] for idx in residuals_observatories]
)
We currently have a concatenated times, and concatenated_link_definition_ids, but it would be nice if we could have a similar concatenated receiver and transmitter. In this case I could use the receiver to identify the observatories per observation more easily. In a future example, where I use multiple targets for one observation collection, the concatted_transmitters list would be useful to identify which target an observation belongs to.
The text was updated successfully, but these errors were encountered:
Hi,
This is in relation to tudat-team/tudatpy-examples#28. I want to do some analysis on the residuals per observatory. Currently, I have a convoluted way of receiving this list:
We currently have a concatenated times, and concatenated_link_definition_ids, but it would be nice if we could have a similar concatenated receiver and transmitter. In this case I could use the receiver to identify the observatories per observation more easily. In a future example, where I use multiple targets for one observation collection, the concatted_transmitters list would be useful to identify which target an observation belongs to.
The text was updated successfully, but these errors were encountered: