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Gaussian mixtures and image processing implemented in python

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This model is for PSFs, should use FWHM as the size parameter

something like this in general ```python def make_image(self, pars): nrow, ncol = self.obs.image.shape wcs = self.obs.jacobian.get_galsim_wcs() model = self.make_model(pars) gsim = model.drawImage(nx=ncol, ny=nrow, wcs=wcs) return gsim.array ```

gauss has been the default because it doesn't require any rng as input, so easier for newbies to use. However now that we know we need an rng in any...

I am seeing some biases in metacalibration when I use a WCS Jacobian that differs a lot from a simple pixel scale. Here is a basic test with a simple...

I think this goes back to the a convenience for the old C code and I don't think it is needed for numba

sometimes we want to know if a pixel was assigned to an object

I was working on a minimal example to understand mcal fitting with the new API and think I may have run into either a small bug or a small inconsistency...