This is a repository for the reduction pipeline detailed in Wakeford, et al., 2016, ApJ. The method implements marginalization across a series of models to represent stochastic models for observatory and instrument systematics. This is primarily for HST WFC3, however, may be extended to STIS in the future.
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Allow for the package to work with a different systematic grid #115
@ivalaginja Which sections of the code would need to be modified to account for this?
Are these all in margmodule.py or would marginalisation.py also have to change to allow for this?
How can we make the package generic enough to pull out and put in our own systematic grid? While keeping the same switches for the time, inc, msmpr, etc.
@ivalaginja Which sections of the code would need to be modified to account for this? Are these all in
margmodule.py
or wouldmarginalisation.py
also have to change to allow for this?How can we make the package generic enough to pull out and put in our own systematic grid? While keeping the same switches for the time, inc, msmpr, etc.