PynPoint
========
**Pipeline for processing and analysis of high-contrast imaging data**
.. image:: https://img.shields.io/pypi/v/pynpoint
:target: https://pypi.python.org/pypi/pynpoint
.. image:: https://img.shields.io/pypi/pyversions/pynpoint
:target: https://pypi.python.org/pypi/pynpoint
.. image:: https://github.com/PynPoint/PynPoint/workflows/CI/badge.svg?branch=main
:target: https://github.com/PynPoint/PynPoint/actions
.. image:: https://img.shields.io/readthedocs/pynpoint
:target: http://pynpoint.readthedocs.io
.. image:: https://codecov.io/gh/PynPoint/PynPoint/branch/main/graph/badge.svg?token=35stSKWsaJ
:target: https://codecov.io/gh/PynPoint/PynPoint
.. image:: https://img.shields.io/codefactor/grade/github/PynPoint/PynPoint
:target: https://www.codefactor.io/repository/github/pynpoint/pynpoint
.. image:: https://img.shields.io/github/license/pynpoint/pynpoint
:target: https://github.com/PynPoint/PynPoint/blob/main/LICENSE
PynPoint is a generic, end-to-end pipeline for the reduction and analysis of high-contrast imaging data of exoplanets. The pipeline uses principal component analysis (PCA) for the subtraction of the stellar PSF and supports post-processing with ADI, RDI, and SDI techniques. The package is stable, extensively tested, and actively maintained.
Documentation
-------------
Documentation is available at `http://pynpoint.readthedocs.io <http://pynpoint.readthedocs.io>`_, including installation instructions, details on the pipeline architecture, and several notebook tutorials.
Attribution
-----------
If you use PynPoint in your publication then please cite `Stolker et al. (2019) <https://ui.adsabs.harvard.edu/abs/2019A%26A...621A..59S/abstract>`_. Please also cite `Amara & Quanz (2012) <https://ui.adsabs.harvard.edu/abs/2012MNRAS.427..948A/abstract>`_ as the origin of PynPoint, which focused initially on the use of PCA as a PSF subtraction method. In case you use specifically the PCA-based background subtraction module or the wavelet based speckle suppression module, please give credit to `Hunziker et al. (2018) <https://ui.adsabs.harvard.edu/abs/2018A%26A...611A..23H/abstract>`_ or `Bonse et al. (preprint) <https://ui.adsabs.harvard.edu/abs/2018arXiv180405063B/abstract>`_, respectively.
Contributing
------------
Contributions in the form of bug fixes, new or improved functionalities, and pipeline modules are highly appreciated. Please consider forking the repository and creating a pull request to help improve and extend the package. Instructions for `coding of a pipeline module <https://pynpoint.readthedocs.io/en/latest/coding.html>`_ are available in the documentation. Bugs can be reported by creating an `issue <https://github.com/PynPoint/PynPoint/issues>`_ on the Github page.
License
-------
Copyright 2014-2021 Tomas Stolker, Markus Bonse, Sascha Quanz, Adam Amara, and `contributors <https://github.com/PynPoint/PynPoint/graphs/contributors>`_.
PynPoint is distributed under the GNU General Public License v3. See the `LICENSE <https://github.com/PynPoint/PynPoint/blob/main/LICENSE>`_ file for the terms and conditions.
Acknowledgements
----------------
The PynPoint logo was designed by `Atlas Interactive <https://atlas-interactive.nl>`_ and is `available <https://quanz-group.ethz.ch/research/algorithms/pynpoint.html>`_ for use in presentations.
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"description": "PynPoint\n========\n\n**Pipeline for processing and analysis of high-contrast imaging data**\n\n.. image:: https://img.shields.io/pypi/v/pynpoint\n :target: https://pypi.python.org/pypi/pynpoint\n\n.. image:: https://img.shields.io/pypi/pyversions/pynpoint\n :target: https://pypi.python.org/pypi/pynpoint\n\n.. image:: https://github.com/PynPoint/PynPoint/workflows/CI/badge.svg?branch=main\n :target: https://github.com/PynPoint/PynPoint/actions\n\n.. image:: https://img.shields.io/readthedocs/pynpoint\n :target: http://pynpoint.readthedocs.io\n\n.. image:: https://codecov.io/gh/PynPoint/PynPoint/branch/main/graph/badge.svg?token=35stSKWsaJ\n :target: https://codecov.io/gh/PynPoint/PynPoint \n\n.. image:: https://img.shields.io/codefactor/grade/github/PynPoint/PynPoint\n :target: https://www.codefactor.io/repository/github/pynpoint/pynpoint\n\n.. image:: https://img.shields.io/github/license/pynpoint/pynpoint\n :target: https://github.com/PynPoint/PynPoint/blob/main/LICENSE\n\nPynPoint is a generic, end-to-end pipeline for the reduction and analysis of high-contrast imaging data of exoplanets. The pipeline uses principal component analysis (PCA) for the subtraction of the stellar PSF and supports post-processing with ADI, RDI, and SDI techniques. The package is stable, extensively tested, and actively maintained.\n\nDocumentation\n-------------\n\nDocumentation is available at `http://pynpoint.readthedocs.io <http://pynpoint.readthedocs.io>`_, including installation instructions, details on the pipeline architecture, and several notebook tutorials.\n\nAttribution\n-----------\n\nIf you use PynPoint in your publication then please cite `Stolker et al. (2019) <https://ui.adsabs.harvard.edu/abs/2019A%26A...621A..59S/abstract>`_. Please also cite `Amara & Quanz (2012) <https://ui.adsabs.harvard.edu/abs/2012MNRAS.427..948A/abstract>`_ as the origin of PynPoint, which focused initially on the use of PCA as a PSF subtraction method. In case you use specifically the PCA-based background subtraction module or the wavelet based speckle suppression module, please give credit to `Hunziker et al. (2018) <https://ui.adsabs.harvard.edu/abs/2018A%26A...611A..23H/abstract>`_ or `Bonse et al. (preprint) <https://ui.adsabs.harvard.edu/abs/2018arXiv180405063B/abstract>`_, respectively.\n\nContributing\n------------\n\nContributions in the form of bug fixes, new or improved functionalities, and pipeline modules are highly appreciated. Please consider forking the repository and creating a pull request to help improve and extend the package. Instructions for `coding of a pipeline module <https://pynpoint.readthedocs.io/en/latest/coding.html>`_ are available in the documentation. Bugs can be reported by creating an `issue <https://github.com/PynPoint/PynPoint/issues>`_ on the Github page.\n\nLicense\n-------\n\nCopyright 2014-2021 Tomas Stolker, Markus Bonse, Sascha Quanz, Adam Amara, and `contributors <https://github.com/PynPoint/PynPoint/graphs/contributors>`_.\n\nPynPoint is distributed under the GNU General Public License v3. See the `LICENSE <https://github.com/PynPoint/PynPoint/blob/main/LICENSE>`_ file for the terms and conditions.\n\nAcknowledgements\n----------------\n\nThe PynPoint logo was designed by `Atlas Interactive <https://atlas-interactive.nl>`_ and is `available <https://quanz-group.ethz.ch/research/algorithms/pynpoint.html>`_ for use in presentations.\n",
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