If you currently want to do e.g. some benchmark studies on different array configurations from preprocessed DL1 MC's you have to either use the EventSource or custom scripts to filter for specific telescopes. It would be faster to have similar table-wise option in the ApplyModels Tool.
This should be fairly easy to implement since its already using the TableLoader.
In addition to that, it might also be useful to optionally select the tel_types on which the models should be trained in the training tools.
If you currently want to do e.g. some benchmark studies on different array configurations from preprocessed DL1 MC's you have to either use the
EventSourceor custom scripts to filter for specific telescopes. It would be faster to have similar table-wise option in theApplyModelsTool.This should be fairly easy to implement since its already using the
TableLoader.In addition to that, it might also be useful to optionally select the
tel_typeson which the models should be trained in the training tools.