Title: PypeIt: The Python Spectroscopic Data Reduction Pipeline

Authors: J. Xavier Prochaska (1, 2), Joseph F. Hennawi (3), Kyle B. Westfall
  (4), Ryan J. Cooke (5), Feige Wang (6), Tiffany Hsyu (1) and Emanuele Paolo
  Farina (7) ((1) University of California, Santa Cruz, (2) Kavli Institute for
  the Physics and Mathematics of the Universe, (3) University of California,
  Santa Barbara, (4) University of California Observatories, (5) Durham
  University, UK, (6) Steward Observatory, University of Arizona, (7) Max
  Planck Institut fur Astrophysik)

Abstract: PypeIt 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 (Bernstein, Burles, &
Prochaska, 2015; Bochanski et al., 2009). The reduction procedure - including a
complete list of the input parameters and available functionality - is provided
as online documentation hosted by Read the Docs, which is regularly updated.
(https://pypeit.readthedocs.io/en/latest/)
  Release v1.0.3 serves the following spectrographs:
  Gemini/GNIRS, Gemini/GMOS, Gemini/FLAMINGOS 2, Lick/Kast, Magellan/MagE,
Magellan/Fire, MDM/OSMOS, Keck/DEIMOS (600ZD, 830G, 1200G), Keck/LRIS,
Keck/MOSFIRE (J and Y gratings tested), Keck/NIRES, Keck/NIRSPEC
(low-dispersion), LBT/Luci-I, Luci-II, LBT/MODS (beta), NOT/ALFOSC (grism4),
VLT/X-Shooter (VIS, NIR), VLT/FORS2 (300I, 300V), WHT/ISIS

Comments: To be submitted to JOSS (once they return to accepting submissions).
  Find PypeIt at: https://github.com/pypeit/PypeIt

DOI: 10.5281/zenodo.3743493