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Initialization suppressing CRDS info messages Mar 21, 2019
align_mosaics Changed drizzle to run with skyfile.txt to reduce runtime Jan 8, 2019
align_multiple_visits PEP8 and related fixes Jan 7, 2019
align_sparse_fields Updated TweakReg code to use input_flc.list so that input file order … Jan 9, 2019
align_to_catalogs Fixed PEP8 errors. Listed AstroDrizzle parameters one per line. Jan 7, 2019
optimize_image_sampling Fixed PEP8 errors Jan 7, 2019
sky_matching Fixed PEP8 errors. Removed static plot and figure, reordered text con… Jan 7, 2019
use_ds9_regions_in_tweakreg Reordering imports Jan 8, 2019

DrizzlePac Jupyter Notebook Tutorials

Improved drizzling tutorials are now available as Jupyter Notebooks and compatible with the latest STScI distributed software as part of AstroConda. Prior drizzling examples were written for the DrizzlePac Handbook in 2012, just after MultiDrizzle was replaced, and supplemental examples were posted to the DrizzlePac Webpage in 2015 to support enhanced features in DrizzlePac 2.0. The new interactive notebooks consolidate information from these prior examples to form a more cohesive set, and any references to outdated software, such as PyRAF, have been removed and replaced with python functionality.

The notebooks contain live code and visualizations, along with the usual narrative text, making them an ideal training exercise for new users. Each tutorial includes blocks of code demonstrating how to download the calibrated data from the MAST archive, how to align frames and update the image world coordinate system, and how to enhance the scientific value of the drizzled data products using advanced reprocessing techniques.

The ten new notebooks available in this repository include the following topics:

  • Initializing DrizzlePac
  • Aligning observations obtained in multiple HST visits
  • Aligning HST images to an absolute reference catalog (e.g. GAIA, SDSS)
  • Aligning sparse fields
  • Improving alignment with DS9 exclusion regions
  • Masking satellite trails in DQ arrays prior to drizzling
  • Optimizing the image sampling for dithered datasets
  • Drizzling WFPC2 data to use a single zeropoint
  • Sky matching features for HST mosaics
  • Aligning HST mosaics observed with multiple detectors

Additional tutorials will be added to the repository as new software functionality becomes available, especially for advanced use cases. For additional assistance with DrizzlePac tools, users may submit a ticket to the STScI Help Desk or send an email to

Special thanks to the authors of these notebooks: J. Mack, S. Hoffmann, R. Avila, V. Bajaj, M. Cara, T. Desjardins, C. Martlin, C. Shanahan

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