Metadata-Version: 2.1
Name: pypeit
Version: 1.3.2
Summary: PypeIt Spectroscopic Reduction
Home-page: https://github.com/pypeit/PypeIt
Author: PypeIt Collaboration
Author-email: pypeit@ucolick.org
License: BSD-3
Description: # PypeIt
        [![PyPI](https://img.shields.io/pypi/v/pypeit?label=PyPI&logo=pypi&logoColor=white)](https://pypi.org/project/pypeit/)
        [![Conda Version](https://img.shields.io/conda/vn/conda-forge/pypeit?label=conda%20version)](https://anaconda.org/conda-forge/pypeit)
        [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pypeit?label=conda%20downloads)](https://anaconda.org/conda-forge/pypeit)
        
        [![CI Tests](https://github.com/pypeit/PypeIt/workflows/CI%20Tests/badge.svg)](https://github.com/pypeit/PypeIt/actions?query=workflow%3A"CI+Tests")
        [![Documentation Status](https://readthedocs.org/projects/pypeit/badge/?version=latest)](https://pypeit.readthedocs.io/en/latest/?badge=latest)
        [![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)](http://www.astropy.org/)
        
        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):
        
        [![DOI](https://joss.theoj.org/papers/10.21105/joss.02308/status.svg)](https://doi.org/10.21105/joss.02308)
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3743493.svg)](https://doi.org/10.5281/zenodo.3743493)
        
        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}
            }
        
        # 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](https://pypeit.readthedocs.io/en/latest/development.html)
        
        In particular, please note our [Code of
        Conduct](https://pypeit.readthedocs.io/en/latest/codeconduct.html).
        
        
        # Instruments Served
        * Gemini/GNIRS
        * Gemini/GMOS
        * Gemini/FLAMINGOS 2
        * 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)
        * 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.
        
        
        
Keywords: pypeit,PypeIt,astronomy,Keck,UCO,Lick,spectroscopy,data reduction
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Documentation :: Sphinx
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: User Interfaces
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: pyside2
Provides-Extra: pyqt5
Provides-Extra: shapely
Provides-Extra: test
Provides-Extra: docs
Provides-Extra: dev
