This pull request adds the ability to marginalize over detector calibration uncertainty to dingo-pipe. This takes place during the importance sampling stage.
It adds the following keys to the INI files:
calibration-model
spline-calibration-envelope-dict
spline-calibration-nodes
spline-calibration-curves (not present in bilby-pipe)
Usage is explained in the documentation. It should be noted that these have slightly different interpretation than in bilby-pipe, where one typically performs inference over the calibration parameters rather than marginalizing over them.
In addition, there was a small refactoring of the calibration marginalization code to simplify it.
@jonaswildberger You probably need to update #131 to accommodate these additional INI keys.
This pull request adds the ability to marginalize over detector calibration uncertainty to dingo-pipe. This takes place during the importance sampling stage.
It adds the following keys to the INI files:
Usage is explained in the documentation. It should be noted that these have slightly different interpretation than in bilby-pipe, where one typically performs inference over the calibration parameters rather than marginalizing over them.
In addition, there was a small refactoring of the calibration marginalization code to simplify it.
@jonaswildberger You probably need to update #131 to accommodate these additional INI keys.