The jdat_notebooks repository contains notebooks illustrating workflows for post-pipeline analysis of JWST data. Some of the notebooks also illustrate generic analysis workflows that are applicable to data from other observatories as well. This repository and the notebooks are one component of STScI's larger Data Analysis Tools Ecosystem.
The following table summarizes the notebooks currently available.
You can view rendered versions of the notebooks, which require no special tools beyond your web browser.
To download and execute the notebooks, please read the detailed instructions. for cloning this repository to your local computer.
If you uncover any issues or bugs, you can open an issue on GitHub. For faster responses, however, we encourage you to submit a JWST Help Desk Ticket: jwsthelp.stsci.edu
Contributions are welcome from both the scientist and developer community. If you wish to contribute fixes or clarifications to existing notebooks, feel free to do so directly to this repository. If you wish to contribute new notebooks or major reworks of existing notebooks, we refer you to dat_pyinthesky. For details on how to provide such contributions, see the contributing instructions.
The notebooks attempt to utilize a number of software packages supported by STScI, including Astropy, glue, ginga, photutils, specutils, astroimtools, imexam, jdaviz, asdf, gwcs, and synphot. Note jdaviz is STScI's JWST Data Analysis Visualization Tool, designed to be used with spectra, IFU cubes, and multi-object spectroscopy (MOS).