HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.
Nightly regression test results are available only from within the STScI network at this time. https://plwishmaster.stsci.edu:8081/job/RT/job/drizzlepac/
The use of this software on HST data is described at:
http://drizzlepac.stsci.edu/
A complete description of the documented interfaces in the code itself can be found at:
http://drizzlepac.readthedocs.io
Drizzlepac is installed when you install the stenv conda environment (a replacement for astroconda). Select your desired release and follow the instructions on the stenv installation page.
$ pip install git+https://github.com/spacetelescope/drizzlepac.git
The option --no-use-pep517 MAY be required in order to correctly build
the C extensions with pip versions up to 22.2, after commenting out
the build-backend from the pyproject.toml config file.
Support for installing using pip is still evolving, so use of this
command is provided on an experimental basis for now.
$ git clone https://github.com/spacetelescope/drizzlepac
$ cd drizzlepac
Note: If you intend to use drizzlepac's embedded help feature from within
an interactive python or ipython session, we recommend you do not skip
this step.
$ cd doc/
$ make html
$ python setup.py install
FAQs
HST image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.
We found that drizzlepac demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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