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It would be great to have more support for handling injection-recoveries which can be used to assess the validity of the surrogates and check for any potential biases. A small but incomplete list of action items:
Injection-recoveries for GRB models
Handling the amount of fake (non-)detections to be processed
Make the time grid on which the (non-)detections are placed more flexible and realistic.
Make the magnitude errors vary randomly or in certain prescribed manners
Allow user-defined settings to propagate accordingly, such as detection limits.
In inference/injection.py there is a rough setup/script that can be extended with the above points.
The text was updated successfully, but these errors were encountered:
It would be great to have more support for handling injection-recoveries which can be used to assess the validity of the surrogates and check for any potential biases. A small but incomplete list of action items:
In
inference/injection.py
there is a rough setup/script that can be extended with the above points.The text was updated successfully, but these errors were encountered: