Example Jupyter Notebooks - Exploring Data Products

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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 are GUI menus/
panels or data software packages; 
bold italics are buttons in GUI
tools or package parameters.

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




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

JWST Data Products: Uncalibrated Data (PDF)

Github version

Using an uncalibrated (raw) JWST exposure:

JWST Data Products: Calibrated Individual Exposures and WCS (PDF)

Github version

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

JWST Data Products: Ensemble Processing Products (PDF)

Github version

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