Task: Python3
Install: true
Description: Python 3 packages for astronomy
 This metapackage will install Python 3 packages for astronomy. The packages
 can be used for interactive analysis, or to create specific programs.

Recommends: python3, ipython3

Recommends: python3-numpy, python3-scipy, python3-matplotlib, python3-healpy,
 python3-lmfit

Recommends: python3-astropy, python3-pyds9
Why: Generic Python packages for astronomy

Recommends: python3-astropy-affiliated

Recommends: python3-astroscrappy, python3-astroplan, python3-astroquery,
 python3-ccdproc, python3-gwcs, python3-halotools, python3-imexam,
 python3-montage-wrapper, python3-naima, python3-photutils, python3-pydl,
 python3-sncosmo, python3-spectral-cube, python3-specutils
Why: Astropy affiliated packages

Recommends: python3-aplpy, python3-astroml, python3-galpy, python3-gammapy,
 python3-ginga, python3-glue, python3-maltpynt, python3-omnifit,
 python3-pyregion, python3-cpl, python3-pyvo, python3-reproject,
 python3-spherical-geometry
Why: Astropy affiliated packages (provisionally)

Recommends: python3-gammapy
WNPP: 795369

Recommends: python3-drizzle
WNPP: 843668

Recommends: python3-asdf

Recommends: python3-pyavm

Recommends: python3-astlib

Recommends: python3-yt

Recommends: python3-gyoto

Recommends: python3-sunpy

Recommends: python3-ephem

Recommends: python3-emcee

Recommends: python3-fitsio

Recommends: python3-pysynphot

Recommends: python3-pyfftw
Why: From AstroConda

Recommends: python3-casacore

Recommends: python3-pymoc

Recommends: python3-astrodendro

Recommends: python3-sherpa
WNPP: 795370
Pkg-Description: Modeling and fitting in Python 3
 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/

Recommends: python3-sncosmo
WNPP: 757096
Pkg-Description: Python 3 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/

Recommends: python3-extinction
WNPP: 850195
Homepage: https://github.com/kbarbary/extinction
Pkg-Description:  Fast interstellar dust extinction laws
 Extinction provides a library with Cython-optimised implementations of
 empirical dust extinction laws found in the astronomical literature.

Recommends: python3-radio-beam
WNPP: 879683
Homepage: http://radio-beam.readthedocs.org
Pkg-Description:  Python 3 Tools for Radio Beam IO and Manipulation
 Radio Beam is a simple toolkit for reading beam information from FITS
 headers and manipulating beams. Some example applications include
 Convolution/deconvolution and Unit conversion (Jy to/from K).

Recommends: python3-mvpa2
Why: ASCL Id 1703.009

Recommends: python3-pyspeckit
WNPP: 881699
Homepage: https://pypi.python.org/pypi/pyspeckit
Pkg-Description: Toolkit for fitting and manipulating spectroscopic data
 This is a code framework designed to allow for analysis of
 spectroscopic data from a wide variety of astronomical instruments.
 It is motivated by the lack of general spectroscopic analysis tools
 applicable at multiple wavelengths (compare to IRAF, SPLAT, etc. -
 these are wavelength-specific and/or do not make user scripting
 easy).  Initial implementation focuses on optical and radio
 applications, e.g.  gaussian and voigt profile fitting,
 baseline/continuum fitting, and equivalent width measurements.

Recommends: python3-pyraf
WNPP: 711038
Homepage: http://www.stsci.edu/institute/software_hardware/pyraf
Pkg-Description: Python interface for IRAF
 PyRAF is a command language for running IRAF tasks that is based on
 the Python scripting language. It gives users the ability to run IRAF
 tasks in an environment that has all the power and flexibility of
 Python. PyRAF can be installed along with an existing IRAF installation;
 users can then choose to run either PyRAF or the IRAF CL.
