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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Fixing the beta normalization in marginalization #114
Changed the beta in the marginalisation to beta_wq to distinguish from the noise factor.
Also changed from min to max to respecify the weighting from top to bottom instead of bottom to top.
This should allow us to not need to mask the array but it is fine to keep the mask in for now as we still can reject any -ve numbers
Changed the beta in the marginalisation to beta_wq to distinguish from the noise factor.
Also changed from min to max to respecify the weighting from top to bottom instead of bottom to top. This should allow us to not need to mask the array but it is fine to keep the mask in for now as we still can reject any -ve numbers