photutils
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astropy
Astropy package for source detection and photometry. Maintainers: @larrybradley and @bsipocz
I was looking at the tutorials on the photutils website and there is an error in the source code link. There are two slashes instead of one. This is the...
Currently the `evaluate` (or `__call__`) functions of `EPSFModel`, `FittableImageModel` etc. require `x` and `y` to be 2D arrays (or at least representative of the coordinate values of a 2D grid),...
Currently in PSF photometry routines (`BasicPSFPhotometry` etc.) the actual fitting routine (`LevMarLSQFitter` by default) only works with unit weights, as there is no option to pass any uncertainties -- or...
I have a super barebones PR (#739) in which I looked at adding something like this previously, but with the updates to astropy's uncertainty handling subsequently (and me having less...
Pretty lofty goal, but it seems we're not taking full advantage of the `EPSFStar` vs `LinkedEPSFStar` framework only allowing for fitting of a single image to sources at once. With...
Currently both `EPSFModel` and `EPSFBuilder` carry the keyword `shift_val`, which is likely unnecessary. `EPSFModel` carries it around for one instance in `EPSFBuilder` where it is passed to a function --...
At present, in `EPSFBuilder`, when calculating star residual samplings and sigma clipping multiple samplings to find the robust residual for a given grid point -- used to update the interpolation...
Currently `fitshape` is a required input into PSF fitting routines like `BasicPSFPhotometry`. It might be good if this could be relaxed to allow for a `None` parameter, for example, which...
`FittableImageModel` has a wrapper for varying PSFs in `GriddablePSFModel`. It would be good if there were other options available in 2D interpolation form -- primarily one for `EPSFModel`, to match...
Unlike `FittableImageModel`, `GriddablePSFModel` doesn't accept 2D oversampling (in the form of an `(x, y)` tuple). Presumably this should be extended to match the parameters accepted by the base class? It...