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        "author": "Anthony Brown",
        "author_email": "brown@strw.leidenuniv.nl",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "PyGaia\n======\n\n**Python toolkit for basic Gaia data simulation, manipulation, and analysis**\n\nPyGaia provides python modules for the simulation of Gaia data and their errors,\nas well modules for the manipulation and analysis of the Gaia catalogue data. In\nparticular transformations between astrometric observables and phase space\nvariables are provided as well as transformations between sky coordinate\nsystems. Only (very) basic functionality is provided. Full blown simulations of\nGaia data in all their gory detail requires the Java tools developed by the Gaia\nData Processing and Analysis Consortium (DPAC) in particular its Coordination\nUnit 2 (CU2).\n\nThis toolkit is basically an implementation of the performance models for Gaia\nwhich are publicly available at:\n`<http://www.cosmos.esa.int/web/gaia/science-performance>`_. In\naddition much of the material in chapter 4 of the book `Astrometry for\nAstrophysics: Methods, Models, and Applications (2012, van Altena et al.)\n<http://www.cambridge.org/9780521519205>`_ is implemented.\n\nNote that the code in this package is *not intended for accurate astrometry\napplications*, such as predicting in detail astrometric paths of stars on the\nsky, or transforming between observation epochs.\n\nDocumentation\n-------------\n\nAll classes and methods/functions are documented so use the python help()\nfunction to find out more. More extensive documentation will follow.\n\nInstallation notes\n------------------\n\nThis package was developed in a python 2.7 environment and you may experience\nproblems if you have an older version installed. In particular the scripts in\nthe *examples* folder will not run because they expect the argparse module to be\npresent.\n\nThe following python packages are required:\n\n* `numpy <http://www.numpy.org/>`_\n* `scipy <http://www.scipy.org/>`_\n\nFor the plotting tools:\n\n* `matplotlib <http://matplotlib.org/>`_\n* `Basemap toolkit for matplotlib <http://matplotlib.org/basemap/>`_\n\nAttribution\n-----------\n\nPlease acknowledge the Gaia Project Scientist Support Team and the Gaia Data\nProcessing and Analysis Consortium (DPAC) if you used this code in your\nresearch.\n\nLicense\n-------\n\nCopyright (c) 2012-2016 Anthony Brown, Gaia Data Processing and Analysis Consortium\n\nPyGaia is open source and free software: you can redistribute it and/or modify\nit under the terms of the GNU Lesser General Public License as published by the\nFree Software Foundation, either version 3 of the License, or (at your option)\nany later version.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY\nWARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A\nPARTICULAR PURPOSE.  See the GNU General Public License for more details.\n\nYou should have received a copy of the GNU General Public License along with\nthis program. If not, see `<http://www.gnu.org/licenses/>`_.\n\n\nChangelog\n---------\n\n.. :changelog:\n\n1.21 (April 2018)\n+++++++++++++++++\n\n- Added constant AU expressed in mas*km*yr/s\n\n- Fixed large memoery consumption in the _getJacobian method in the coordinate transformation code.\n  Thanks to `jchelly <https://github.com/jchelly>`_ for pointing out this problem.\n\n1.2 (December 2016)\n+++++++++++++++++++\n\n- Add method to CoordinateTransformation for the transformation of the full (5x5) covariance matrix of\n  the astrometric parameters.\n\n- Add keyword to astrometric errors prediction functions that allows to specify an extended mission\n  lifetime.\n\n1.1 (September 2016)\n++++++++++++++++++++\n\n- Bug fix in coordinate transformation code.\n\n- Updated photometry and radial velocity error predictions.\n\n- End-of-mission photometry errors, including calibration floor, introduced for the broad band fluxes.\n\n- Photometry errors now include 20% margin for CCD-transit and end-of-mission predictions.\n\n- Example plot of photometry errors fixed.\n\n1.0 (November 2015)\n+++++++++++++++++++\n\n- Added numerical constants.\n\n- Improved setup.py, made code compatible with Python3\n\n0.9 (September 2015)\n++++++++++++++++++++\n\n- Photometric performance predictions updated to post-launch estimates.\n\n0.83 (July 2015)\n+++++++++++++++++++\n\n- Minor error in documentation of astrometryToPhaseSpace() method corrected.\n\n0.82 (July 2015)\n+++++++++++++++++++\n\n- Error corrected in transformSkyCoordinateErrors() method. Thanks to Teresa Antoja and Taniya Parikh!\n\n0.81 (June 2015)\n+++++++++++++++++++\n\n- Forgot to update changelog for version 0.8\n\n0.8 (June 2015)\n+++++++++++++++++++\n\n- Radial velocity performance predictions updated to post-launch estimates.\n\n0.7 (December 2014)\n+++++++++++++++++++\n\n- Astrometry performance predictions updated to post-launch estimates.\n\n0.6 (July 2014)\n+++++++++++++++\n\n- Warning on upcoming changes in performance predictions, following the Gaia\n  commissioning period\n- radial velocity horizons plot in examples folder\n\n0.5 (August 2013)\n+++++++++++++++++\n\n- Utilities for obtaining absolute magnitudes of stars in V and G.\n- Functions to obtain the upper and lower bounds on the astrometric parameter\n  errors (corresponding to the sky regions with best/worst astrometric errors).\n- Proper motion error plot.\n- Parallax horizon plot.\n\n0.4 (April 2013)\n++++++++++++++++\n\n- Added transformation of proper motions and of position and proper motion errors.\n\n0.31 (February 2013)\n++++++++++++++++++++\n\n- Updated README. TODO added.\n\n0.3 (February 2013)\n+++++++++++++++++++\n\n- Added documentation on installation requirements. Added the handling of an\n  ImportError for the argparse module to the example scripts.\n\n0.2 (February 2013)\n+++++++++++++++++++\n\n- Problems in setup.py fixed as well is bugs in the error simulation code.\n\n0.1 (February 2013)\n+++++++++++++++++++\n\n- First release\n\n0.0 (October 2012)\n++++++++++++++++++\n\n- Creation from bits and pieces of python code that AB had lying around.\n",
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