Gabe Brammer

OK, now I see that the problem seems to be with a large implied cross-dispersion offset of the trace as defined in your configuration file. The `size` parameter in [GroupFLT.compute_full_model](https://github.com/gbrammer/grizli/blob/master/grizli/multifit.py#L561)...

Added `time` weighting in PR https://github.com/gbrammer/grizli/pull/167.

Added `jwst` weighting in https://github.com/gbrammer/grizli/commit/af8d36a04d802afbaa9eb68f566586762d09bdc6, which weights by `VAR_RNOISE + median(VAR_POISSON)` if those extensions are available and falls back to the `median_err` strategy otherwise (e.g., for HST).

Fix bug in `jwst` weighting in https://github.com/gbrammer/grizli/commit/84ab356cb0f3e6cb7a54ba06356fd23ab38e185a.

More robust "tweak" alignment parameters updated in https://github.com/gbrammer/grizli/commit/a1d8bf96471d88b9dc05f1136d924d3200b6e231, with limits on source FLUX_RADIUS and matching tolerances. The [iterate_tweak_align function](https://github.com/gbrammer/grizli/blob/master/grizli/prep.py#L5009) can also iterate the alignment corrections by aligning each exposure to...

To use the updated weighting scheme when creating mosaics, run ```python grizli.aws.visit_processor.cutout_mosaic(..., weight_type='jwst', make_exptime_map=True, ) ``` The latter will make an exposure-time map that can be used to regenerate the...

(Also filling this as an Issue to provide a more visible link to the closed PR)

What exactly do you mean by _"all of the files created in the `Prep` directory use the original NIRISS filter names"_? I think that will be true for the mosaics...

@TheSkyentist, @lboogaard : I added a notebook at https://github.com/gbrammer/grizli-notebooks/blob/main/JWST/grizli-niriss-2023.ipynb to demonstrate the way that I currently prefer to process JWST data, through to extracting and fitting NIRISS spectra. It shows...

Visit_processor is just a wrapper around pipeline.auto_script.go that uses the associations and some functionality for automating passing non default parameters. And also for the mode of running large batches of...