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-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,
 python3-regions, python3-astropy-healpix, python3-radio-beam
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-drizzle

Recommends: python3-asdf

Recommends: python3-pyavm

Recommends: python3-astlib

Recommends: python3-yt

Recommends: python3-gyoto

Recommends: python3-sunpy, python3-drms

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-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

Recommends: python3-ndcube
WNPP: 895013
Homepage: http://docs.sunpy.org/projects/ndcube/
Pkg-Description: Base package for multi-dimensional coordinate aware arrays
 ndcube is an open-source SunPy affiliated package for manipulating,
 inspecting and visualizing multi-dimensional contiguous and
 non-contiguous coordinate-aware data arrays. It combines data,
 uncertainties, units, metadata, masking, and coordinate
 transformations into classes with unified slicing and generic
 coordinate transformations and plotting/animation capabilities. It is
 designed to handle data of any number of dimensions and axis types
 (e.g. spatial, temporal, spectral, etc.) whose relationship between
 the array elements and the real world can be described by World
 Coordinate System (WCS) translations.

Recommends: python3-fast-histogram
WNPP: 898069

Recommends: python3-mpl-scatter-density
WNPP: 898072

Recommends: python3-vispy
