Cleanup CD workflow and some documentation

.github/workflows/cd.yaml

@@ -58,7 +58,7 @@ jobs:
           ls -ltrh
           ls -ltrh dist
       - name: Publish to Test PyPI
-        uses: pypa/gh-action-pypi-publish@v1.9.0
+        uses: pypa/gh-action-pypi-publish@v1.12.2
         with:
           repository-url: https://test.pypi.org/legacy/
           verbose: true
@@ -67,6 +67,7 @@ jobs:
         run: |
           sleep 3
           python -m pip install --upgrade pip
+          python -m pip install --upgrade pkginfo
 
           echo "=== Testing wheel file ==="
           # Install wheel to get dependencies and check import
@@ -96,5 +97,5 @@ jobs:
           name: artifact
           path: dist
 
-      - uses: pypa/gh-action-pypi-publish@v1.9.0
+      - uses: pypa/gh-action-pypi-publish@v1.12.2
         if: startsWith(github.ref, 'refs/tags')

README.md

@@ -5,7 +5,7 @@ Its design allows for fast startup and provides flexibility to explore new ideas
 It was written by [Connor Stone](https://connorjstone.com/) with contributions from
 [Nikhil Arora](https://orcid.org/0000-0002-3929-9316),
 [Stephane Courteau](https://www.physics.queensu.ca/facultysites/courteau/),
-and [Jean-Charles Cuillandre](https://www.cfht.hawaii.edu/~jcc/).
+[Jean-Charles Cuillandre](https://www.cfht.hawaii.edu/~jcc/), and now more (see the GitHub contributors).
 
 # Install
 

autoprof/pipeline_steps/PSF.py

@@ -426,6 +426,10 @@ def PSF_deconvolve(IMG, results, options):
       number of itterations of the Richardson-Lucy deconvolution
       algorithm to perform.
 
+    ap_psf_deconvolve_save : string, default None
+      Optional argument. Path to save the deconvolved FITS image. If not
+      given, the image will not be saved.
+
     Notes
     ----------
     :References:

docs/extramethods.rst

@@ -61,7 +61,11 @@ PSF - Deconvolve
 
 :func:`~autoprof.pipeline_steps.PSF.PSF_deconvolve`
 
-Deconvolves a provided PSF from the primary image.
+Deconvolves a provided PSF from the primary image. Add the step 'psf deconvolve'
+early in the pipeline steps and the primary image will be deconvolved using
+Lucy-Richardson deconvolution. This is an approximate deconvolution useful in
+many scenarios, but it depends on the number of iterations. You can use
+`ap_psf_deconvolution_iterations` to set the number of iterations.
 
 Center - Mean
 ----------------------------------------------------------------------