Format: https://blends.debian.org/blends/1.1
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-astropy-healpix
WNPP: 888870

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

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

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
