JDAT Notebooks
Content Migration
WARNING: This page has been deprecated and the content migrated to JWST Post-Pipeline Data Analysis. Please update your links accordingly.
A series of Jupyter Notebooks have been created to illustrate workflows for analyzing JWST data.
See Also: Notebooks Landing Page, Notebooks GitHub Page, All Notebooks (including Pipeline and Demo)
Words in bold are GUI menus/
panels or data software packages;
bold italics are buttons in GUI
tools or package parameters.
A series of example Jupyter notebooks have been built to demonstrate expected science workflows using various JWST observing modes. While focused on JWST, they show useful workflows for analyzing data from other observatories as well. The notebooks utilize Astropy packages and the Jdaviz visualization tools when possible. These notebooks can be downloaded and executed by cloning the GitHub repository to your local computer. The documentation contains detailed instructions for installing the notebooks, as well as rendered versions of the notebooks that allow you to view them in your browser without downloading. See the table on the landing page of the JDAT Notebooks documentation for a complete and up-to-date list of notebooks.
In addition to the notebooks in the JDAT repository, STScI has generated a series of other notebooks to demonstrate related workflows, including running the pipeline and running Jdaviz. See the Sample Notebooks page documentation within Jdaviz for a complete list.