pypeit 1.6.0

PypeIt Spectroscopic Reduction

PypeIt

The Python Spectroscopic Data Reduction Pipeline. For documentation visit:

http://pypeit.readthedocs.io

and/or see our HOWTO:

https://tinyurl.com/pypeit-howto

and/or join our PypeIt Users Slack (the invite is recorded in this Issue: https://github.com/pypeit/PypeIt/issues/676)

Citation:

If you use PypeIt in your research, please cite the following publications (BibTeX entries are provided below):

If 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 provided BibTeX 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}.

BibTeX

@ARTICLE{pypeit:joss_arXiv,
       author = {{Prochaska}, J. Xavier and {Hennawi}, Joseph F. and {Westfall}, Kyle B. and
         {Cooke}, Ryan J. and {Wang}, Feige and {Hsyu}, Tiffany and
         {Davies}, Frederick B. and {Farina}, Emanuele Paolo},
        title = "{PypeIt: The Python Spectroscopic Data Reduction Pipeline}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2020,
        month = may,
          eid = {arXiv:2005.06505},
        pages = {arXiv:2005.06505},
archivePrefix = {arXiv},
       eprint = {2005.06505},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv200506505P},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{pypeit:joss_pub,
    doi = {10.21105/joss.02308},
    url = {https://doi.org/10.21105/joss.02308},
    year = {2020},
    publisher = {The Open Journal},
    volume = {5},
    number = {56},
    pages = {2308},
    author = {J. Xavier Prochaska and Joseph F. Hennawi and Kyle B. Westfall and Ryan J. Cooke and Feige Wang and Tiffany Hsyu and Frederick B. Davies and Emanuele Paolo Farina and Debora Pelliccia},
    title = {PypeIt: The Python Spectroscopic Data Reduction Pipeline},
    journal = {Journal of Open Source Software}
}

@MISC{pypeit:zenodo,
       author = {{Prochaska}, J. Xavier and {Hennawi}, Joseph and {Cooke}, Ryan and
         {Westfall}, Kyle and {Wang}, Feige and {EmAstro} and {Tiffanyhsyu} and
         {Wasserman}, Asher and {Villaume}, Alexa and {Marijana777} and
         {Schindler}, JT and {Young}, David and {Simha}, Sunil and
         {Wilde}, Matt and {Tejos}, Nicolas and {Isbell}, Jacob and
         {Fl{\"o}rs}, Andreas and {Sandford}, Nathan and {Vasovi{\'c}}, Zlatan and
         {Betts}, Edward and {Holden}, Brad},
        title = "{pypeit/PypeIt: Release 1.0.0}",
         year = 2020,
        month = apr,
          eid = {10.5281/zenodo.3743493},
          doi = {10.5281/zenodo.3743493},
      version = {v1.0.0},
    publisher = {Zenodo},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020zndo...3743493P},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Funding

PypeIt receives direct funding from the following sources:

• NASA (ADAP-A20-0412)
• W.M. Keck Observatory
• University of California Observatories

We also rely on important in-kind contributions from individuals at Caltech, the Multiple Mirror Observatory, and elsewhere.

Contribute

We encourage anyone to help us develop the PypeIt code base to better suit your needs and to improve its algorithms. If you do so, please follow our Development Guidlines

In particular, please note our Code of Conduct.

Instruments Served

• Bok/B&C
• Gemini/GNIRS
• Gemini/GMOS
• Gemini/FLAMINGOS 2
• GTC/OSIRIS
• Lick/Kast
• Magellan/MagE
• Magellan/Fire
• MMT/BinoSpec (270 and 600 tested)
• MMT/MMIRS (HK_zJ, J_zJ, and K_K tested)
• MMT/Blue Channel (300 tested)
• MDM/OSMOS
• Keck/DEIMOS (600ZD, 830G, 1200G)
• Keck/KCWI (BM, BH2)
• Keck/LRIS
• Keck/MOSFIRE (J and Y gratings tested)
• Keck/NIRES
• Keck/NIRSPEC (low-dispersion)
• LBT/Luci-I, Luci-II
• LBT/MODS (beta)
• LDT/DeVeny
• Lick/APF (planned)
• NOT/ALFOSC (grism4)
• VLT/X-Shooter
• VLT/FORS2 (300I, 300V)
• WHT/ISIS
• P200/DBSP (316/7500 on red arm, 600/4000 on blue arm)
• P200/TripleSpec

Requirements

(see setup.cfg or environment.yml)

• python
• numpy
• scipy
• matplotlib
• astropy
• ginga
• h5py
• future
• PyYAML
• linetools
• IPython
• scikit-learn
• configobj

License (BSD-3)

(see LICENSE.rst)

Copyright (c) 2018-2019, PypeIt Developers All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

• Neither the name of the Astropy Team nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.