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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 table below summarizes the notebooks currently available. The
Table of Contents on the left of this page will take you to rendered versions
of the notebooks, which require no special tools beyond your web browser. If you
do not see an expected notebook listed in the left-hand column, it is not
currently rendered. The links in the table will take you to the GitHub repository
location of the notebooks for you to :ref:`download <install>`.
Data: Simulated NIRSpec data from ground-based campaign.
Tools:
Cross-instrument:
Help
If you uncover any issues or bugs, you can open a
GitHub issue.
For faster responses, however, we encourage you to submit
a JWST Help Desk Ticket.
Contributing
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).