Metadata-Version: 1.1
Name: donuts
Version: 0.3.2
Summary: Align astronomical images
Home-page: https://github.com/jmccormac01/Donuts
Author: James McCormac, Simon Walker
Author-email: jmccormac001@gmail.com
License: MIT
Description: =======
        Donuts
        =======
        
        .. image:: https://img.shields.io/pypi/v/donuts.svg?text=version
            :target: https://pypi.python.org/pypi/donuts
            :alt: Latest Pypi Release
        .. image:: https://img.shields.io/pypi/pyversions/donuts.svg
            :target: https://pypi.python.org/pypi/donuts
        .. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
            :target: http://www.astropy.org/
            :alt: Powered by astropy
        .. image:: https://travis-ci.org/jmccormac01/Donuts.svg?branch=master
            :target: https://travis-ci.org/jmccormac01/Donuts
            :alt: Travis Build Status
        .. image:: https://ci.appveyor.com/api/projects/status/gs02nr4o4n2vdu22?svg=true
            :target: https://ci.appveyor.com/project/JamesMcCormac/Donuts
            :alt: Appveyor Build Status
        .. image:: https://landscape.io/github/jmccormac01/Donuts/master/landscape.svg?style=flat
            :target: https://landscape.io/github/jmccormac01/Donuts/master
            :alt: Code Health
        .. image:: https://coveralls.io/repos/github/jmccormac01/Donuts/badge.svg?branch=master 
            :target: https://coveralls.io/github/jmccormac01/Donuts?branch=master
            :alt: Test Coverage
        .. image:: https://readthedocs.org/projects/donuts/badge/?version=latest
            :target: http://donuts.readthedocs.io/en/latest/
            :alt: Latest Documentation Status
        .. image:: https://badges.gitter.im/jmccormac01/Donuts.svg?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
            :target: https://gitter.im/jmccormac01/Donuts
            :alt: Gitter Chat
        
        A science frame autoguiding and image alignment algorithm with sub-pixel
        precision, capable of guiding on defocused stars.
        
        
        Project documentation: https://donuts.readthedocs.io/en/latest/
        
        See the changelog_ for latest changes.
        
        Motivation
        ----------
        
        We operate or have access to several telescopes (NGTS, NITES, Warwick
        1m, 1.5m San Pedro Martir) that require precise autoguiding. Sometimes
        we need to defocus a telescope but we would still like to autoguide. 
        Donuts was designed to allow this. The algorithm had to be
        simple, fast and accurate. It has been shown to perform well as an 
        autoguiding algorithm for equatorial telescopes (no field rotation).
        
        The process of aligning apertures for photometry is essentially the same. 
        Rather than correcting the telescope pointing, the apertures
        must track the drift of the stars. Donuts can therefore be used to track
        the stellar positions for CCD photometry also.
        
        By default Donuts measures frame-to-frame translational offsets (X
        and Y) using all the stars in the image. The algorithm could be adjusted 
        in the to select a specific region of interest (for extremely wide or
        distorted fields).
        
        The algorithm has its limitations. It currently does not deal with
        rotation or very large drifts - where the field moves by approx. half a FOV
        or more. Our paper describing the details can be found here:
        
        http://adsabs.harvard.edu/abs/2013PASP..125..548M
        
        Example
        -------
        
        Below is a sample of 10 nights autoguiding residuals from NGTS while using 
        Donuts. The upper plot shows the frame-to-frame error, while the bottom 
        shows the drift which would have occured if not for Donuts. Aligning 
        photometry apertures is essentially the same process and similar performance
        is expected under that scenario. We routinely achieve an autoguiding RMS of 
        1/20 pixels with NGTS. 
        
        .. image:: AgResiduals_802_March2016.png
        
        Contributors
        ------------
        
        `James McCormac <https://github.com/jmccormac01>`_,
        `Simon Walker <https://github.com/mindriot101>`_.
        
        
        License
        -------
        
        MIT License
        
        Copyright (c) 2021 James McCormac & Simon Walker
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
        .. _changelog: https://github.com/jmccormac01/Donuts/blob/devel/CHANGELOG.md
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Astronomy
