Format: https://blends.debian.org/blends/1.1
Task: ASCL
Install: false
Index: false
Leaf: false
Metapackage: false
Description: Packages in the Astrophysics Source Code Library
 Here we list all Debian packages that are mentioned in the [Astrophysics
 Source Code Library](https://ascl.net) (ASCL).
 .
 The Astrophysics Source Code Library is a free online registry for
 source codes of interest to astronomers and astrophysicists and lists codes
 that have been used in research that has appeared in, or been submitted to,
 peer-reviewed publications. The ASCL is indexed by the [SAO/NASA Astrophysics
 Data System](http://ads.harvard.edu/) (ADS) and is citable by using the
 unique ascl ID assigned to each code.

Recommends: python3-galpy
Remark: ASCL-Id 1411.008

Recommends: skycat
Remark: ASCL-Id 1109.019

Recommends: wcstools
Remark: ASCL-Id 1109.015

Suggests: python3-pyfits
Remark: ASCL-Id 1207.009

Recommends: libnova-dev
Remark: ASCL-Id 1502.016

Recommends: libfftw3-dev
Remark: ASCL-Id 1201.015

Recommends: mocassin
Remark: ASCL-Id 1110.010

Recommends: ifrit
Remark: ASCL-Id 1304.019

Recommends: python3-ccdproc
Remark: ASCL-Id 1510.007

Recommends: stiff
Remark: ASCL-Id 1110.006

Recommends: gyoto
Remark: ASCL-Id 1203.005

Recommends: libplplot-dev
Remark: ASCL-Id 1106.003

Recommends: qfitsview
Remark: ASCL-Id 1210.019

Recommends: ftools-fv
Remark: ASCL-Id 1205.005

Recommends: mayavi2
Remark: ASCL-Id 1205.008

Recommends: psfex
Remark: ASCL-Id 1301.001

Recommends: montage
Remark: ASCL-Id 1010.036

Recommends: libcfitsio-bin
Remark: ASCL-Id 1010.002

Recommends: libcfitsio-dev
Remark: ASCL-Id 1010.001

Recommends: eso-midas
Remark: ASCL-Id 1302.017

Recommends: libchealpix-dev
Remark: ASCL-Id 1107.018

Recommends: dpuser
Remark: ASCL-Id 1303.025

Recommends: python3-pysynphot
Remark: ASCL-Id 1303.023

Recommends: ginga
Remark: ASCL-Id 1303.020

Recommends: saods9
Remark: ASCL-Id 0003.002

Recommends: python3-astropy
Remark: ASCL-Id 1304.002

Recommends: libstarlink-ast-dev
Remark: ASCL-Id 1404.016

Recommends: wcslib-dev
Remark: ASCL-Id 1108.003

Recommends: python3-emcee
Remark: ASCL-Id 1303.002

Recommends: imagej
Remark: ASCL-Id 1206.013

Recommends: alfa
Remark: ASCL-Id 1512.005

Recommends: python3-astlib
Remark: ASCL-Id 1607.016

Recommends: python-pymc
Remark: ASCL-Id 1506.005

Recommends: libcpl-dev
Remark: ASCL-Id 1402.010

Recommends: python3-photutils
Remark: ASCL-Id 1609.011

Recommends: python3-spectral-cube
Remark: ASCL-Id 1609.017

Recommends: python3-sncosmo
Remark: ASCL-Id 1611.017
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-pyvo
Remark: ASCL-Id 1402.004

Recommends: python3-yt
Remark: ASCL-Id 1011.022

Recommends: paraview
Remark: ASCL-Id 1103.014

Recommends: predict
Remark: ASCL-Id 1112.016

Recommends: python3-ephem
Remark: ASCL-Id 1112.014

Recommends: python3-aplpy
Remark: ASCL-Id 1208.017

Recommends: gdl-mpfit
Remark: ASCL-Id 1208.019

Recommends: esorex
Remark: ASCL-Id 1504.003

Recommends: splash
Remark: ASCL-Id 1103.004

Recommends: python3-sunpy
Remark: ASCL-Id 1401.010

Recommends: python3-lmfit
Remark: ASCL-Id 1606.014

Recommends: funtools
Remark: ASCL-Id 1112.002

Recommends: ggobi
Remark: ASCL-Id 1112.008

Recommends: swarp
Remark: ASCL-Id 1010.068

Recommends: weightwatcher
Remark: ASCL-Id 1010.069

Recommends: missfits
Remark: ASCL-Id 1010.062

Recommends: scamp
Remark: ASCL-Id 1010.063

Recommends: sextractor
Remark: ASCL-Id 1010.064

Recommends: python3-astroml
Remark: ASCL-Id 1407.018

Recommends: astrometry.net
Remark: ASCL-Id 1208.001

Recommends: jags
Remark: ASCL-Id 1209.002

Recommends: libstarlink-pal-dev
Remark: ASCL-Id 1606.002

Recommends: neat
Remark: ASCL-Id 1411.013

Recommends: geant321
Remark: ASCL-Id 1010.079

Recommends: glueviz
Remark: ASCL-Id 1402.002

Recommends: aoflagger
Remark: ASCL-Id 1010.017

Recommends: wsclean
Remark: ASCL-Id 1408.023

Recommends: lorene
Remark: ASCL-Id 1608.018

Suggests: pgplot5
Remark: ASCL-Id 1103.002. Giza-dev is a DFSG-free replacement for pgplot5.

Recommends: fitsh
Remark: ASCL-Id 1111.014

Recommends: libsopt-dev
Remark: ASCL-Id 1307.020

Recommends: purify
Remark: ASCL-Id 1307.019

Recommends: cpl-plugin-muse
Remark: ASCL-Id 1610.004

Recommends: python3-cpl
Remark: ASCL-Id 1612.001

Recommends: crush
WNPP: 815709
Homepage: http://www.submm.caltech.edu/~sharc/crush/
Pkg-Description: Data Reduction and Imaging for Bolometer Array
 CRUSH is an astronomical data reduction/imaging tool for certain imaging
 cameras, especially at the millimeter, sub-millimeter, and far-infrared
 wavelengths. It supports the SHARC-2, LABOCA, SABOCA, ASZCA, p-ArTeMiS,
 PolKa, GISMO, MAKO and SCUBA-2 instruments. The code is written entirely
 in Java, allowing it to run on virtually any platform. It is normally
 run from the command-line with several arguments.
Remark: ASCL-Id 1308.011

Recommends: munipack
Remark: ASCL-Id 1402.006

Recommends: theli
WNPP: 780303
Pkg-Description: Powerful package for astronomical image reduction
 THELI is a powerful and easy-to-use package for astronomical image reduction,
 offering e.g.
 .
  * Automated reduction of optical, NIR and MIR data
  * 90 pre-configured instruments
  * Parallelisation
  * Flexible background correction
  * Automatic distortion correction and creation of large mosaics
  * Highly flexible coaddition: e.g. locking onto proper motion targets,
    various projections, etc 
  * Optimised weighting schemes and defect detection
  * Crosstalk and non-linearity correction
  * Atmospheric transparency correction
  * Absolute flux calibration
  * Extensive documentation and online help
Homepage: https://www.astro.uni-bonn.de/theli/index.html
Remark: ASCL-Id 1308.013

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/
Remark: ASCL-Id 1107.005

Recommends: cloudy
WNPP: 725891
Remark: ASCL-Id 9910.001

Recommends: aladin
Remark: ASCL-Id 1112.019

Recommends: splat-vo
WNPP: 827354
Homepage: http://www.g-vo.org/pmwiki/About/SPLAT
Pkg-Description: Spectral Analysis Tool (SPLAT) for Virtual Observatory
 Splat-VO is an desktop client for viewing and analysis of Virtual
 Observatory (VO) spectral data.  This graphical tool can display,
 analyse, compare and modify already extracted spectra stored in FITS,
 TEXT, and NDF/NDX formats.  It can also interact with the Virtual
 Observatory registery and data-centres to dynamically query and
 download data for a particular section of the sky on-demand.
 .
 Splat-VO can work in multiple coordinate systems and can plot and
 overlay multiple spectra at the same time.  Plots are displayed in a
 visually rich format.  Analysis can be performed by selecting and
 zooming multiple, and fitting to emission and absorption lines.
Remark: ASCL-Id 1402.007

Recommends: stilts
Remark: ASCL-Id 1105.001

Recommends: topcat
Remark: ASCL-Id 1101.010

Recommends: mpgrafic
Remark: ASCL-Id 1304.014

Recommends: skyview
Remark: ASCL-Id 1511.003

Recommends: python3-mvpa2
Remark: ASCL-Id 1703.009

Recommends: python3-pymoc
Remark: ASCL-Id 1707.005

Recommends: python3-astroquery
Remark: ASCL-Id 1708.004

Recommends: cpl-plugin-sinfo
Remark: ASCL-Id 1708.019

Recommends: python3-pyspeckit
Remark: ASCL-Id 1109.001
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
Remark: ASCL-Id 1207.011

Recommends: iraf
Remark: ASCL-Id 9911.002

Recommends: python-gammapy
WNPP: 795369
Remark: ASCL-Id 1711.014

Recommends: iraf-rvsao
WNPP: 887373
Remark: ASCL-Id 9912.003

Recommends: gnuastro
Remark: ASCL-Id 1801.009

Recommends: python3-astroplan
Remark: ASCL-Id 1802.009
