Package: pypeit
PypeItPypeIt is a Python package for semi-automated reduction of astronomical
spectroscopic data. Its algorithms build on decades-long development of previous
data reduction pipelines by the developers. The reduction procedure - including
a complete list of the input parameters and available functionality - is
provided by ouronline documentation.PypeIt is designed to be used by both advanced spectroscopists with prior data
reduction expertise and astronomers with no prior experience of data reduction.
It is highly configurable and designed to be applied to any standard
slit-imaging spectrograph, including long-slit, multi-slit, as well as
cross-dispersed echelle spectra.The spectrographs that PypeIt can be used
with are listedhere.Also note thatthis linkcontains some useful information about reducing data
with certain instruments that you might also find helpful.In addition to our primary code base, we maintain an extensivedevelopment
suiteprimarily used to
perform multiple layers of code testing, from basic unit tests to full
end-to-end tests of all our command-line scripts.If you are new to PypeIt,
you are encouraged to pull example data from the DevSuite for your instrument
when learning how to use the software.CommunityAs a project, PypeIt is committed to fostering a welcoming, diverse, and
inclusive community.  As a member of this community you are expected to read and
follow ourCode of Conduct.Along with our extensiveonline documentation, we encourage the PypeIt user
base to communicate via ourPypeIt Users Slack.
All are welcome to join usingthis invitation link.If you find a bug (particularly one that is experienced by others in the Users
Slack) or have a feature request, pleasesubmit an issue.CitationIf you use PypeIt in your research, please cite the following publications
(we provide the relevantBibTeX entriesfor your convenience):Prochaska et al. (2020, JOSS):arXiv,JOSSProchaska et al. (2020, Zenodo):ZenodoIf there is no place to include the relevant citations in the text of
the publication, please include the following acknowledgement
(provided in latex and using the providedBibTeX entries):This research made use of\ttfamily{PypeIt},\footnote{\url{https://pypeit.readthedocs.io/en/latest/}}a Python package for semi-automated reduction of astronomical slit-based spectroscopy\citep{pypeit:joss_pub, pypeit:zenodo}.FundingPypeIt receives direct funding from the following sources:NASA ADAP (A20-0412, 20-1018)W.M. Keck ObservatoryUniversity of California ObservatoriesWe also rely on important in-kind contributions from individuals at
Caltech, the Multiple Mirror Observatory, and elsewhere.DevelopersPypeIt is an open-source, community developed package.  Astronomers are
encouraged to join the project and should review ourCode of ConductandDevelopment
Guidelines.
We would also appreciate if you contact the lead developers (JXP, JFH) before
beginning development activities.The following persons have contributed substantially to the
development of PypeIt.J Xavier Prochaska (JXP)Joseph F. Hennawi (JFH)Kyle B. WestfallRyan J. CookeFeige WangTiffany HsyuFrederick B. DaviesEmanuele Paolo FarinaDebora PellicciaJames ReichweinMilan RobersonTimothy PickeringTimothy Ellsworth-BowersGregory SimonianHeather Martin