Example Jupyter Notebooks - Exploring Data Products

JWST data products contain metadata that can be accessed via Python code. Example code, in the form of Jupyter Notebooks, to extract and explore the information stored in JWST data products is provided in this article. These Jupyter Notebooks have been created in the context of the JWebbinars.

Words in bold italics are buttons 
or parameters in GUI tools. Bold 
style represents GUI menus/
panels & data software packages.

See also: Understanding JWST Data Files, JWST Science Calibration Pipeline Overview, Example Jupyter Notebooks - Running the Pipeline

Notebook (in PDF and Github)ContentVideo demonstration (when available)

Using an uncalibrated (raw) JWST exposure:

Using JWST datamodels:

  • Explore Stage 1 data products (detector corrections)
  • Examine Stage 2 imaging and spectroscopic data products (calibrated individual exposures)
  • Take a closer look at WCS information for JWST data
  • JWST associations

Using the final data products from the pipeline:

  • Take a look at a JWST source catalog
  • Examine our final mosaicked image
  • Look at our final spectral data product

These notebooks have been written using version 1.1.0 of the JWST science calibration pipeline.

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Originally published