Metadata-Version: 1.1
Name: bdsf
Version: 1.9.2
Summary: Blob Detection and Source Finder
Home-page: https://github.com/lofar-astron/PyBDSF
Author: David Rafferty
Author-email: drafferty@hs.uni-hamburg.de
License: UNKNOWN
Description: PyBDSF
        ======
        
        PyBDSF (the Python **B**\ lob **D**\ etection and **S**\ ource **F**\ inder, formerly
        PyBDSM) is a tool designed to decompose radio interferometry images into
        sources and make available their properties for further use. PyBDSF can
        decompose an image into a set of Gaussians, shapelets, or wavelets as
        well as calculate spectral indices and polarization properties of
        sources and measure the psf variation across an image. PyBDSF uses an
        interactive environment based on CASA that will be familiar to most
        radio astronomers. Additionally, PyBDSF may also be used in Python
        scripts.
        
        The documentation is currently hosted at http://www.astron.nl/citt/pybdsf
        
        Installation
        ------------
        Installation is done through ``pip``, e.g. ``pip install .`` if you cloned the repository
        or ``pip install https://github.com/lofar-astron/PyBDSF/archive/v1.9.1.tar.gz`` to install the latest release.
        
        External requirements include the ubuntu packages (or similar packages in another Linux distribution):
        
        * ``gfortran``
        * ``libboost-python-dev``
        * ``libboost-numpy-dev`` (Only if boost > 1.63)
        * ``python-setuptools``.
        
        Also, a working ``numpy`` installation is required.
        At runtime, you will need ``scipy`` and either ``pyfits`` and ``pywcs`` or ``python-casacore`` or ``astropy``.
        
        If you install as a user not using conda, use ``pip install --user``.
        Make sure to use similar versions for gcc, g++ and gfortran
        (use update-alternatives if multiple versions of gcc/g++/gfortran are present on the system).
        In this case, the script ``pybdsf`` is installed in ``~/.local/bin``, so you might want to add that to your ``$PATH``.
        
        Installation on MacOS / OSX is more involved, you will need the packages mentioned above, for example installed with Homebrew.
        You will need to tell `setup.py` to use the same compiler for fortran as for C++. In case of problems, see https://github.com/lofar-astron/PyBDSF/issues/104#issuecomment-509267088 for some possible steps to try.
        
        .. image:: https://travis-ci.org/lofar-astron/PyBDSF.svg?branch=master
            :target: https://travis-ci.org/lofar-astron/PyBDSF
        
Platform: Linux
Platform: Mac OS X
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: C++
Classifier: Programming Language :: Fortran
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Astronomy
