Metadata-Version: 2.1
Name: pypeit
Version: 1.12.0
Summary: PypeIt Spectroscopic Reduction
Home-page: https://github.com/pypeit/PypeIt
Author: PypeIt Collaboration
Author-email: pypeit@ucolick.org
License: BSD-3
Description: 
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        PypeIt |forks| |stars|
        ======================
        
        |github| |pypi| |conda| |CondaDownloads| |License|
        
        |docs| |CITests| |Coverage| 
        
        |DOI_latest| |JOSS| |arxiv|
        
        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. The reduction procedure - including
        a complete list of the input parameters and available functionality - is
        provided by our `online documentation
        <https://pypeit.readthedocs.io/en/release/>`__.
        
        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 spectrogaphs that PypeIt can be used
        with are listed** `here
        <https://pypeit.readthedocs.io/en/release/spectrographs/spectrographs.html>`__.
        
        Also note that `this link
        <https://pypeit.readthedocs.io/en/release/spectrographs/spectrographs.html#instrument-specific-details>`__
        contains 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 extensive `development
        suite <https://github.com/pypeit/PypeIt-development-suite>`__ primarily 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.**
        
        ----
        
        .. _community:
        
        Community
        +++++++++
        
        As 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 our `Code of Conduct
        <https://pypeit.readthedocs.io/en/release/codeconduct.html>`__.
        
        Along with our extensive `online documentation
        <https://pypeit.readthedocs.io/en/release/>`__, we encourage the PypeIt user
        base to communicate via our `PypeIt Users Slack <pypeit-users.slack.com>`__.
        All are welcome to join using `this invitation link <https://join.slack.com/t/pypeit-users/shared_invite/zt-1kc4rxhsj-vKU1JnUA~8PZE~tPlu~aTg>`__.
        
        If you find a bug (particularly one that is experienced by others in the Users
        Slack) or have a feature request, please `submit an issue
        <https://github.com/pypeit/PypeIt/issues>`__.
        
        ----
        
        Citation
        ++++++++
        
        If you use PypeIt in your research, please cite the following publications
        (we provide the relevant `BibTeX entries
        <https://pypeit.readthedocs.io/en/release/index.html#pypeit-bibtex-entries>`__
        for your convenience):
        
         - Prochaska et al. (2020, JOSS): `arXiv <https://ui.adsabs.harvard.edu/abs/2020arXiv200506505P/abstract>`__, `JOSS <https://joss.theoj.org/papers/10.21105/joss.02308>`__
         - Prochaska et al. (2020, Zenodo): `Zenodo <https://ui.adsabs.harvard.edu/abs/2020zndo...3743493P/abstract>`__
        
        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
        <https://pypeit.readthedocs.io/en/release/index.html#pypeit-bibtex-entries>`__):
        
        .. code-block:: latex
        
            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}.
        
        ----
        
        Funding
        +++++++
        
        PypeIt receives direct funding from the following sources:
        
          * NASA ADAP (A20-0412, 20-1018)
          * 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.
        
        ----
        
        Developers
        ++++++++++
        
        PypeIt is an open-source, community developed package.  Astronomers are
        encouraged to join the project and should review our `Code of Conduct
        <https://pypeit.readthedocs.io/en/release/codeconduct.html>`__ and `Development
        Guidelines <https://pypeit.readthedocs.io/en/release/dev/development.html>`__.
        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. Westfall
        * Ryan J. Cooke
        * Feige Wang
        * Tiffany Hsyu
        * Frederick B. Davies
        * Emanuele Paolo Farina
        * Debora Pelliccia
        * James Reichwein
        * Milan Roberson
        * Timothy Pickering
        * Timothy Ellsworth-Bowers
        
        
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 :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Documentation :: Sphinx
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: User Interfaces
Requires-Python: <3.10,>=3.8
Description-Content-Type: text/x-rst
Provides-Extra: scikit_image
Provides-Extra: pyside2
Provides-Extra: pyqt5
Provides-Extra: bottleneck
Provides-Extra: test
Provides-Extra: docs
Provides-Extra: dev
