Metadata-Version: 1.1
Name: PyGaia
Version: 0.81
Summary: Basic Gaia data simulation, manipulation, and analysis toolkit
Home-page: https://github.com/agabrown/PyGaia
Author: Anthony Brown
Author-email: brown@strw.leidenuniv.nl
License: LGPLv3+
Description: 
        PyGaia
        ======
        
        **Python toolkit for basic Gaia data simulation, manipulation, and analysis**
        
        PyGaia provides python modules for the simulation of Gaia data and their errors,
        as well modules for the manipulation and analysis of the Gaia catalogue data. In
        particular transformations between astrometric observables and phase space
        variables are provided as well as transformations between sky coordinate
        systems. Only (very) basic functionality is provided. Full blown simulations of
        Gaia data in all their gory detail requires the Java tools developed by the Gaia
        Data Processing and Analysis Consortium (DPAC) in particular its Coordination
        Unit 2 (CU2).
        
        This toolkit is basically an implementation of the performance models for Gaia
        which are publicly available at:
        `<http://www.cosmos.esa.int/web/gaia/science-performance>`_. In
        addition much of the material in chapter 4 of the book `Astrometry for
        Astrophysics: Methods, Models, and Applications (2012, van Altena et al.)
        <http://www.cambridge.org/9780521519205>`_ is implemented.
        
        Note that the code in this package is *not intended for accurate astrometry
        applications*, such as predicting in detail astrometric paths of stars on the
        sky, or transforming between observation epochs.
        
        THE CURRENT VERSION OF THE CODE (0.8, JUNE 2015) CALCULATES THE POST-LAUNCH
        PERFORMANCE PREDICTIONS FOR GAIA FOR THE ASTROMETRY AND RADIAL VELOCITIES. **FOR
        THE PHOTOMETRY THE PRE-LAUNCH PREDICTIONS ARE STILL USED.**
        
        Documentation
        -------------
        
        All classes and methods/functions are documented so use the python help()
        function to find out more. More extensive documentation will follow.
        
        Installation notes
        ------------------
        
        This package was developed in a python 2.7 environment and you may experience
        problems if you have an older version installed. In particular the scripts in
        the *examples* folder will not run because they expect the argparse module to be
        present.
        
        The following python packages are required:
        
        * `numpy <http://www.numpy.org/>`_
        * `scipy <http://www.scipy.org/>`_
        
        For the plotting tools:
        
        * `matplotlib <http://matplotlib.org/>`_
        * `Basemap toolkit for matplotlib <http://matplotlib.org/basemap/>`_
        
        Attribution
        -----------
        
        Please acknowledge the Gaia Project Scientist Support Team and the Gaia Data
        Processing and Analysis Consortium (DPAC) if you used this code in your
        research.
        
        License
        -------
        
        Copyright (c) 2012-2015 Anthony Brown, Gaia Data Processing and Analysis Consortium
        
        PyGaia is open source and free software: you can redistribute it and/or modify
        it under the terms of the GNU Lesser General Public License as published by the
        Free Software Foundation, either version 3 of the License, or (at your option)
        any later version.
        
        This program is distributed in the hope that it will be useful, but WITHOUT ANY
        WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
        PARTICULAR PURPOSE.  See the GNU General Public License for more details.
        
        You should have received a copy of the GNU General Public License along with
        this program. If not, see `<http://www.gnu.org/licenses/>`_.
        
        
        Changelog
        ---------
        
        .. :changelog:
        
        0.81 (June 2015)
        +++++++++++++++++++
        
        - Forgot to update changelog for version 0.8
        
        0.8 (June 2015)
        +++++++++++++++++++
        
        - Radial velocity performance predictions updated to post-launch estimates.
        
        0.7 (December 2014)
        +++++++++++++++++++
        
        - Astrometry performance predictions updated to post-launch estimates.
        
        0.6 (July 2014)
        +++++++++++++++
        
        - Warning on upcoming changes in performance predictions, following the Gaia
          commissioning period
        - radial velocity horizons plot in examples folder
        
        0.5 (August 2013)
        +++++++++++++++++
        
        - Utilities for obtaining absolute magnitudes of stars in V and G.
        - Functions to obtain the upper and lower bounds on the astrometric parameter
          errors (corresponding to the sky regions with best/worst astrometric errors).
        - Proper motion error plot.
        - Parallax horizon plot.
        
        0.4 (April 2013)
        ++++++++++++++++
        
        - Added transformation of proper motions and of position and proper motion errors.
        
        0.31 (February 2013)
        ++++++++++++++++++++
        
        - Updated README. TODO added.
        
        0.3 (February 2013)
        +++++++++++++++++++
        
        - Added documentation on installation requirements. Added the handling of an
          ImportError for the argparse module to the example scripts.
        
        0.2 (February 2013)
        +++++++++++++++++++
        
        - Problems in setup.py fixed as well is bugs in the error simulation code.
        
        0.1 (February 2013)
        +++++++++++++++++++
        
        - First release
        
        0.0 (October 2012)
        ++++++++++++++++++
        
        - Creation from bits and pieces of python code that AB had lying around.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Astronomy
