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Format: https://blends.debian.org/blends/1.1
Task: Python
Install: false
Index: false
Metapackage: false
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.
.
Note that Python 2 is legacy only, Python 3 is the present and future of the
language. The support for Python 2 will end in 2020. Please use Python 2 only
if you don't have a choice.
Recommends: python, ipython
Recommends: python-numpy, python-scipy, python-matplotlib, python-healpy,
python-lmfit, python-pymc, python-pandas, python-skimage, python-sklearn
Recommends: python-astropy, python-pyds9
Why: generic Python packages for astronomy
Recommends: python-astropy-affiliated
Recommends: python-astroscrappy, python-astroplan, python-astroquery,
python-ccdproc, python-gwcs, python-halotools, python-imexam,
python-montage-wrapper, python-naima, python-photutils, python-pydl,
python-sncosmo, python-spectral-cube, python-specutils,
python-astropy-healpix, python-radio-beam
Recommends: python-aplpy, python-astroml, python-galpy,
python-ginga, python-glue, python-maltpynt, python-omnifit, python-pyregion,
python-cpl, python-pyvo, python-reproject, python-spherical-geometry
Why: Astropy affiliated packages
Recommends: python-drizzle
Recommends: python-asdf
Recommends: python-pyavm
Recommends: python-astlib
Recommends: python-yt
Recommends: python-astrometry
Recommends: python-gyoto
Recommends: python-sunpy, python-drms
Recommends: python-ephem
Recommends: python-gdl
Recommends: python-emcee
Recommends: python-fitsio
Recommends: python-pysynphot
Recommends: python-pyfftw
Why: From AstroConda
Recommends: python-casacore
Recommends: python-pymoc
Recommends: 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/
Recommends: 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/
Recommends: python-gavovotable
WNPP: 832884
Homepage: http://docs.g-vo.org/DaCHS/votable.html
Pkg-Description: A library to process VOTables using python
The VOTable format is defined by the International Virtual Observatory
Alliance to facilitate data exchange in astronomy. This library
implements most of the specification and offers simple and advanced,
streaming interfaces. Also included is a simple client to query TAP
servers.
.
There are many other libraries to parse VOTables into python programs, the
default probably being astropy's. This one is geared for maximal control,
streaming, and the possibility to write fairly mad instance documents.
Recommends: python-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: python-mvpa2
Why: ASCL Id 1703.009
Recommends: python-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: python-pyraf
Recommends: python-vispy
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