Task: Python
Description: Python 2 packages for astronomy
 This metapackage will install Python 2 packages for astronomy. The packages
 can be used for interactive analysis, or to create specific programs.

Depends: python, ipython

Depends: python-numpy, python-scipy, python-matplotlib, python-healpy

Depends: python-pywcs, python-astropy, python-pyfits,
         python-pyds9
Why: Generic Python packages for astronomy

Depends: python-astropy-affiliated

Depends: python-astroscrappy, python-astroplan, python-astroquery,
    	 python-ccdproc, python-gwcs, python-montage-wrapper,
    	 python-naima, python-photutils, python-pydl, python-sncosmo,
    	 python-spectral-cube, python-wcsaxes, python-specutils

Depends: python-aplpy, python-astroml, python-galpy, python-gammapy,
	 python-ginga, glueviz, python-imexam, python-omnifit,
	 python-pyregion, python-cpl, python-pyvo, python-reproject,
	 python-spherical-geometry
Why: Astropy affiliated packages

Depends: python-pyavm

Depends: python-astlib

Depends: python-yt

Depends: python-astrometry

Depends: python-gyoto

Depends: python-sherpa
WNPP: 795370
Pkg-Description: Modeling and fitting in Python
 Sherpa is a Python package for modeling and fitting. It enables the user to
 construct complex models from simple definitions and fit those models to
 data, using a variety of statistics and optimization methods.
 .
 It was originally developed by the Smithsonian Astrophysical Observatory /
 Chandra X-Ray Center as part of the larger CIAO package for X-ray data
 analysis
Homepage: http://cxc.cfa.harvard.edu/sherpa/

Depends: python-sncosmo
WNPP: 757096
Pkg-Description: Python library for high-level supervova cosmology analysis
 SNCosmo is a Python library for high-level supernova cosmology analysis. It
 aims to make such analysis both as flexible and clear as possible. It is
 built on NumPy, SciPy and AstroPy. Package Features:
 .
  * SN models: Synthesize supernova spectra and photometry from SN models.
  * Fitting and sampling: Functions for fitting and sampling SN model
    parameters given photometric light curve data.
  * Dust laws: Fast implementations of several commonly used extinction laws;
    can be used to construct SN models that include dust.
  * I/O: Convenience functions for reading and writing peculiar data formats
    used in other packages and getting dust values from SFD (1998) maps.
  * Built-in supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID,
    SNANA and Whalen models, as well as a variety of built-in bandpasses and
    magnitude systems.
  * Extensible: New models, bandpasses, and magnitude systems can be defined,
    using an object-oriented interface.
Homepage: https://sncosmo.github.io/
