Debian Astro ASCL packages

Aladin is an interactive software sky atlas allowing the user to visualise digitised astronomical images, to superimpose entries from astronomical catalogues or databases, and to interactively access related data and information from the Simbad database, the VizieR service and other archives for all known sources in the field.

Created in 1999 by the Centre de Données astronomiques de Strasbourg (CDS), Aladin has become a widely-used tool of the Virtual Observatory (VO) framework capable of addressing challenges such as locating data of interest, accessing and exploring distributed datasets, and visualising multi-wavelength data. Compliance with existing or emerging VO standards, interconnection with other visualisation or analysis tools, and the ability to easily compare heterogeneous data are the key topics which allow Aladin to be a powerful data exploration and integration tool.

• F. Bonnarel, P. Fernique, O. Bienayme, D. Egret, F. Genova, M. Louys, F. Ochsenbein, M. Wenger and J. G. Bartlett: The ALADIN interactive sky atlas. A reference tool for identification of astronomical sources. Astronomy and Astrophysics Supplement Series 143:33 - 40 (2000) (eprint)

• Debian Astro Team
• Ole Streicher

• 12.001+dfsg-1 (bookworm)
• 11.024+dfsg2-1 (bullseye)
• 10.076+dfsg-1 (buster)
• 12.060+dfsg-3 (sid)
• 12.060+dfsg-3 (trixie)

• 16 regular users
• 11 recent
• 144 total installations (of 247424 submissions)

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The AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. The code has been highly optimized for speed and accuracy. It is used by default for the LOFAR radio telescope and thus is in productional stage. The software can run in a fully automated way, but a graphical interface is provided to analyse results and tweak the strategy. The preferred input file format is the Casa Measurement Set (MS) format.

Besides the flagger, the software consists of tools to efficiently visualize data in different ways, such as plotting time-frequency diagrams and power spectra. It provides the programs aoflagger, rfigui, aoqplot, aoquality and more.

• A. R. Offringa, A. G. de Bruyn, M. Biehl, S. Zaroubi, G. Bernardi and V. N. Pandey: Post-correlation radio frequency interference classification methods. Monthly Notices of the Royal Astronomical Society 405:155 - 167 (2010) (eprint)

• Debian Astro Team
• Phil Wyett

• 2.13.0-1 (buster)
• 3.0.0-2 (bullseye)
• 3.4.0-3 (sid)
• 3.1.0-2 (bookworm)
• 2.9.0-1 (stretch)
• 3.4.0-3 (trixie)

• 9 regular users
• 16 recent
• 89 total installations (of 247424 submissions)

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• P. M. Weilbacher, O. Streicher, T. Urrutia, A. Jarno, A. Pecontal-Rousset, R. Bacon and P. Böhm: Design and capabilities of the MUSE data reduction software and pipeline. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 8451:84510B (2012)

• Debian Astro Team
• Ole Streicher

• 2.6+dfsg-1 (buster)
• 2.8.3+dfsg-4 (bullseye)
• 2.8.7+dfsg-3 (bookworm)
• 1.6.2+dfsg-1 (stretch)

• 79 total installations (of 247424 submissions)

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DPUSER is an interactive language capable of handling numbers (both real and complex), strings, and matrices. Its main aim is to do astronomical image analysis, for which it provides a comprehensive set of functions, but it can also be used for many other applications.

Note that this package was compiled with the giza library instead of PGPLOT, since the latter is non-free software.

• Debian Astro Team
• Ole Streicher

• 3.3+p1+dfsg-2 (buster)
• 4.1+dfsg-1 (bookworm)
• 4.0+dfsg-3 (bullseye)
• 3.3+p1+dfsg-2 (stretch)
• 4.2+dfsg-1 (trixie)
• 4.2+dfsg-1 (sid)

• 7 regular users
• 10 recent
• 80 total installations (of 247424 submissions)

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EsoRex is the European Southern Observatory (ESO) Recipe Execution Tool. It can list, configure and execute CPL-based recipes from the command line.

The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit. It forms a basis for the creation of automated astronomical data-reduction tasks.

One of the features provided by the CPL is the ability to create data-reduction algorithms that run as plugins (dynamic libraries). These are called "recipes" and are one of the main aspects of the CPL data-reduction development environment.

• Debian Astronomy Team
• Ole Streicher

• 3.13.3+ds-1 (bullseye)
• 3.13.7+ds-1 (trixie)
• 3.13.7+ds-1 (sid)
• 3.11-1 (jessie)
• 3.12.3-1 (stretch)
• 3.13.6+ds-1 (bookworm)
• 3.13.1-1+deb10u1 (buster)

field

astronomy

interface

commandline

role

program

science

calculation

use

converting, organizing

works-with

image, image:raster

• 5 regular users
• 12 recent
• 111 total installations (of 247424 submissions)

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This meteor detection software is aimed to monitor the sky with GigE all-sky cameras to detect and record falling stars and fireball. It was originally developed for the FRIPON (Fireball Recovery and InterPlanetary Observation Network) project.

• Debian Astronomy Team
• Chiara Marmo

• 1.3.0-1 (buster)

• 1 regular users
• 10 total installations (of 247424 submissions)

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Funtools, is a "minimal buy-in" FITS library and utility package developed at the High Energy Astrophysics Division of SAO. The Funtools library provides simplified access to a wide array of file types: standard astronomical FITS images and binary tables, raw arrays and binary event lists, and even tables of ASCII column data. A sophisticated region filtering library (compatible with ds9) filters images and tables using boolean operations between geometric shapes, support world coordinates, etc. Funtools also supports advanced capabilities such as optimized data searching using index files.

This package contains the tools.

• E. Mandel, S.S. Murray and J.B. Roll: Funtools: An Experiment with Minimal Buy-in Software. Astronomical Data Analysis Software and Systems X 238:225 (2001)

• Debian Astro Team
• Michael Hudson-Doyle

• 1.4.4+dfsg2-1 (jessie)
• 1.4.8-1 (bookworm)
• 1.4.7-1 (stretch)
• 1.4.8-1.1 (trixie)
• 1.4.8-1.1 (sid)
• 1.4.7-4 (buster)
• 1.4.7-4 (bullseye)

• 7 regular users
• 18 recent
• 108 total installations (of 247424 submissions)

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GEANT is a framework for simulating the passage of subatomic particles through matter, for instance, particle detectors. For maximum flexibility, GEANT simulations are performed by linking FORTRAN code supplied by the user with the GEANT library, then running the resulting executable.

This package includes gxint, a script that makes this linking step more convenient.

• Debian Science Maintainers
• Lifeng Sun

• 3.21.14.dfsg-11 (jessie)
• 3.21.14.dfsg-11 (buster)
• 3.21.14.dfsg-11 (stretch)

devel

lang:fortran

field

physics

• 2 regular users
• 132 total installations (of 247424 submissions)

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Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the Subaru Telescope, National Astronomical Observatory of Japan.

The Ginga toolkit centers around an image display object which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose "reference" FITS viewer is provided, based on a plugin framework. A fairly complete set of standard plugins are provided for features that is expected from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/fwhm, thumbnails, etc.

This package contains the image viewer based on Python 3.

• Debian Astronomy Team
• Ole Streicher

• 4.0.1-1 (bookworm)
• 5.2.0-1 (trixie)
• 3.1.0-1 (bullseye)
• 2.7.2-2 (buster)
• 5.2.0-1 (sid)
• 2.6.1-2 (stretch)

• 6 regular users
• 19 recent
• 92 total installations (of 247424 submissions)

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GNU Astronomy Utilities (Gnuastro) is a collection of libraries and programs for astronomical data analysis and manipulation. The programs can be run on the command-line for efficient and easy usage and the libraries can be used within C and C++ programs.

This package contains Gnuastro's programs.

• M. Akhlaghi and T. Ichikawa: Noise-based detection and segmentation of nebulous objects. Astrophysical Journal Supplement Series 220:1 (2015)

• Debian Astro Team
• Phil Wyett

• 0.14-1 (bullseye)
• 0.8-1 (buster)
• 0.23-2 (sid)
• 0.23-2 (trixie)
• 0.2.33-1 (stretch)
• 0.19-1 (bookworm)

• 10 regular users
• 12 recent
• 100 total installations (of 247424 submissions)

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IFRIT (the Ionization FRont Interactive Tool) has its origins (and hence name) in a specialized utility designed to visualize ionization fronts in cosmological numerical simulations. IFRIT, however, has outgrown its origins and now can visualize general data sets as well.

IFRIT is written in C++ and is based on two state-of-the-art toolkits: the Visualization ToolKit (VTK) and a GUI toolkit QT.

• Debian QA Group
• Adam Borowski

• 3.4.2-1 (jessie)
• 4.1.2-6 (buster)
• 4.1.2-5 (stretch)

field

chemistry, physics

role

program

uitoolkit

ncurses, qt

use

viewing

x11

application

• 29 total installations (of 247424 submissions)

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IRAF is the "Image Reduction and Analysis Facility". The main IRAF distribution includes a good selection of programs for general image processing and graphics.

Other external or layered packages are available for applications such as data acquisition or handling data from other observatories and wavelength regimes such as the Hubble Space Telescope (optical), EUVE (extreme ultra-violet), or ROSAT and AXAF (X-ray). These external packages are distributed separately from the main IRAF distribution but can be easily installed. The IRAF system also the programmable Command Language scripting facility.

• Tody, Doug: The IRAF Data Reduction and Analysis System. Proc.SPIE 627:733 - 748 (1986) (eprint)

• Debian Astro Team
• Ole Streicher

• 2.18.1~rc1-2 (trixie)
• 2.16.1+2018.11.01-6 (bullseye)
• 2.16.1+2018.11.01-2~bpo9+1 (stretch-backports)
• 2.16.1+2018.11.01-2 (buster)
• 2.17-4 (bookworm)
• 2.18.1~rc1-3~5 (experimental)
• 2.18.1~rc1-2 (sid)

• 32 regular users
• 16 recent
• 177 total installations (of 247424 submissions)

• iraf-fitsutil
• iraf-mscred
• iraf-rvsao
• iraf-sptable
• iraf-st4gem
• iraf-wcstools
• iraf-xdimsum

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JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS.

JAGS was written with three aims in mind:

• To have an engine for the BUGS language that runs on Unix
• To be extensible, allowing users to write their own functions, distributions and samplers.
• To be a plaftorm for experimentation with ideas in Bayesian modelling

This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.

• Dirk Eddelbuettel

• 4.2.0-2 (stretch)
• 4.3.2-1 (sid)
• 4.3.2-1 (trixie)
• 4.3.1-1 (bookworm)
• 3.4.0-1 (jessie)
• 4.3.0-3 (bullseye)
• 4.3.0-2 (buster)
• 4.3.2-x86_64 (upstream)

field

statistics

role

program

use

analysing

• 33 regular users
• 12 recent
• 217 total installations (of 247424 submissions)

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FITS (Flexible Image Transport System) is a data format most used in astronomy. cfitsio is a library of ANSI C routines for reading and writing FITS format data files. A set of Fortran-callable wrapper routines are also included for the convenience of Fortran programmers.

This package contains what you need for compiling sources that use this library in your own code.

• Debian Astronomy Maintainers
• Aurelien Jarno

• 3.450-3 (buster)
• 4.5.0-5 (sid)
• 3.490-3 (bullseye)
• 4.5.0-5 (trixie)
• 4.2.0-3 (bookworm)
• 3.370-2+deb8u1 (jessie)
• 3.410-1 (stretch)

• 206 regular users
• 240 recent
• 2189 total installations (of 247424 submissions)

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The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit. It forms a basis for the creation of automated astronomical data-reduction tasks (known as "pipelines").

The CPL was developed to standardise the way instrument pipelines are built, to shorten their development cycle and to ease their maintenance. However, it may be more generally applied to any similar application, and the details of the CPL code have been engineered in a way to make the library portable and flexible, as well as minimising external dependencies.

The CPL provides a host of functionality, presented in a clear, generic and uniform manner. Among its many features, the CPL offers:

• many useful low-level data types (images, tables, matrices, strings, property lists, ...),
• many fundamental statistic, arithmetic and conversion operations for these data types.
• medium-level data access methods (e.g. a data abstraction layer for FITS files),
• data table organisation and manipulation,
• keyword/value handling and management,
• a standardised application interface for pipeline recipes, and,
• support for dynamic loading of recipe modules.

Despite the current bias towards instrument pipeline development, the library also provides a variety of general-purpose image- and signal-processing functions, making it an excellent framework for the creation of more generic data-handling packages.

This package contains the static library and the C header files.

• K. Banse, P. Ballester, C. Izzo, Y. Jung, L. K. Lundin, D. J. McKay, A. Modigliani, R. M. Palsa, M. Kiesgen and C. Sabet: The Common Pipeline Library - a silver bullet for standardising pipelines?. Astronomical Data Analysis Software and Systems (ADASS) XIII 314:392 (2004) (eprint)

• Debian Astronomy Maintainers
• Ole Streicher

• 7.3.2+ds-1 (sid)
• 7.3.2+ds-1 (trixie)
• 7.2.3+ds-1 (bookworm)
• 7.1.3-1 (bullseye)
• 7.1-3 (buster)
• 7.0-3 (stretch)
• 6.5-1 (jessie)

devel

lang:c, library

field

astronomy

role

devel-lib

science

calculation

works-with

image, image:raster

• 4 regular users
• 9 recent
• 64 total installations (of 247424 submissions)

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LAPACK version 3.X is a comprehensive FORTRAN library that does linear algebra operations including matrix inversions, least squared solutions to linear sets of equations, eigenvector analysis, singular value decomposition, etc. It is a very comprehensive and reputable package that has found extensive use in the scientific community.

This package contains a static version of the library.

• E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney and D. Sorensen: LAPACK Users' Guide. (1999)

• Debian Science Team
• Sébastien Villemot

• 3.11.0-2 (bookworm)
• 3.12.0-3 (sid)
• 3.5.0-4 (jessie)
• 3.7.0-2 (stretch)
• 3.8.0-2 (buster)
• 3.9.0-3+deb11u1 (bullseye)
• 3.12.0-3 (trixie)

devel

library

role

devel-lib

• 237 regular users
• 204 recent
• 8553 total installations (of 247424 submissions)

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PLplot is relatively small, portable, freely distributable, and is rich enough to satisfy most users. It has a wide range of plot types including line (linear, log), contour, 3D, fill, and almost 1000 characters (including Greek and mathematical) in its extended font set. The package is designed to make it easy to quickly get graphical output; only a handful of function calls is typically required. For more advanced use, virtually all aspects of plotting are configurable.

This package contains all that is needed for doing development in C, C++ and Fortran with PLplot. For development in Tcl/Tk, Python and Java, install the plplot-tcl-dev, python3-plplot and libplplot-java packages, respectively. This package also includes the OCaml and Lua examples. To use one of these languages you will also need to install the libplplot-xxx package for that language.

• Debian Science Team
• Rafael Laboissière

• 5.10.0+dfsg-1 (jessie)
• 5.10.0+dfsg2-0.4 (stretch)
• 5.14.0+dfsg-3 (buster)
• 5.15.0+dfsg-19 (bullseye)
• 5.15.0+dfsg2-6 (bookworm)
• 5.15.0+dfsg2-11 (trixie)
• 5.15.0+dfsg2-11 (sid)

devel

library

role

devel-lib

• 5 regular users
• 8 recent
• 242 total installations (of 247424 submissions)

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AST implements an object oriented model for describing physical coordinate systems, and the transformations that exist between them.

It provides a comprehensive range of facilities for attaching world coordinate systems (WCS) to astronomical data and for retrieving and manipulating that information.

It has built-in intelligence for identifying types of celestial, spectral, time and other coordinate systems (including compound systems that combine axes of different types) and determining how to transform between them. This allows general purpose code to be written that makes no assumptions about the nature of the coordinate systems.

This package contains the files needed for development.

• David S. Berry, Rodney F. Warren-Smith and Tim Jenness: AST: A library for modelling and manipulating coordinate systems. Astronomy and Computing 15:33 - 49 (2016) (eprint)

• Debian Astro Team
• Phil Wyett

• 9.2.3+dfsg-1 (bullseye)
• 9.2.9+dfsg-1 (bookworm)
• 9.2.10+dfsg-2 (trixie)
• 9.2.10+dfsg-2 (sid)
• 8.0.2+dfsg-2 (jessie)
• 8.3.0+dfsg-1 (stretch)
• 8.6.3+dfsg-1 (buster)

devel

library

role

devel-lib

• 4 regular users
• 7 recent
• 55 total installations (of 247424 submissions)

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LORENE is a set of C++ classes to solve various problems arising in numerical relativity, and more generally in computational astrophysics. It provides tools to solve partial differential equations by means of multi-domain spectral methods.

This metapackage depends on all of the LORENE software components. The reference guide is available in the lorene-doc package.

• Debian Astronomy Maintainers
• Graham Inggs

• 0.0.0~cvs20161116+dfsg-1 (stretch)
• 0.0.0~cvs20161116+dfsg-1 (buster)
• 0.0.0~cvs20161116+dfsg-1 (bullseye)
• 0.0.0~cvs20161116+dfsg-1 (bookworm)
• 0.0.0~cvs20161116+dfsg-1.3 (trixie)
• 0.0.0~cvs20161116+dfsg-1.3 (sid)

• 90 total installations (of 247424 submissions)

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MissFITS is a program that performs basic maintenance and packaging tasks on FITS files using an optimised FITS library. MissFITS can:

• add/edit/remove FITS header keywords
• split/join Multi-Extension-FITS (MEF) files
• unpile/pile FITS data-cubes
• create/check/update FITS checksums, using R. Seaman’s protocol.

• C. Marmo and E. Bertin: MissFITS and WeightWatcher: Two Optimised Tools for Managing FITS Data.. 394:619 (2008) (eprint)

• Debian Astronomy Maintainers
• Nilesh Patra

• 2.8.0-5 (trixie)
• 2.8.0-2 (buster)
• 2.8.0-1 (stretch)
• 2.8.0-4 (bullseye)
• 2.8.0-5 (bookworm)
• 2.8.0-5 (sid)

• 5 regular users
• 11 recent
• 93 total installations (of 247424 submissions)

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Montage is a toolkit for assembling astronomical images into custom mosaics.

It uses algorithms that preserve the calibration and positional (astrometric) fidelity of the input images to deliver mosaics that meet user-specified parameters of projection, coordinates, and spatial scale. It supports all projections and coordinate systems in use in astronomy.

It contains independent modules for analyzing the geometry of images on the sky, and for creating and managing mosaics; these modules are powerful tools in their own right and have applicability outside mosaic production, in areas such as data validation.

• Joseph C. Jacob, Daniel S. Katz, G. Bruce Berriman, John C. Good, Anastasia C. Laity, Ewa Deelman, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Thomas A. Prince and Roy Williams: Montage - a Grid Portal and Software Toolkit for Science-Grade Astronomical Image Mosaicking. Int. J. Comput. Sci. Eng. 4(2):73-87 (2009)

• Debian Astro Team
• Phil Wyett

• 6.0+dfsg-7 (bullseye)
• 6.0+dfsg-7 (bookworm)
• 6.0+dfsg-10 (trixie)
• 4.0+dfsg-3 (stretch)
• 6.0+dfsg-10 (sid)
• 6.0+dfsg-6 (buster)
• 6.1 (upstream)

• 12 regular users
• 16 recent
• 121 total installations (of 247424 submissions)

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Munipack is a general astronomical photometry software package. Currently implements functions for standard photometry processing (photometry reductions - dark, flat), aperture photometry, astrometry and photometry calibration, accessing Virtual observatory, etc.

This is a dependency package providing recommended complete installation.

• Filip Hroch: Link to publication

• Debian Astronomy Team
• Filip Hroch

• 0.5.11-2 (buster)
• 0.6.1-1 (sid)
• 0.6.1-1 (trixie)
• 0.6.1-1 (bookworm)
• 0.5.7-2 (stretch)
• 0.5.14-2 (bullseye)

• 87 total installations (of 247424 submissions)

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ParaView is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large. The goals of the ParaView project include the following:

* Develop an open-source, multi-platform visualization application.
* Support distributed computation models to process large data sets.
* Create an open, flexible, and intuitive user interface.
* Develop an extensible architecture based on open standards.

ParaView runs on distributed and shared memory parallel as well as single processor systems and has been successfully tested on Windows, Mac OS X, Linux and various Unix workstations, clusters and supercomputers. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using Qt.

• Debian Science Team
• Drew Parsons

• 5.11.0+dfsg-1 (bookworm)
• 4.1.0+dfsg+1-1 (jessie)
• 5.13.1+dfsg-8 (sid)
• 5.1.2+dfsg1-2 (stretch)
• 5.4.1+dfsg4-3.1 (buster)
• 5.9.0-2 (bullseye)

role

program

uitoolkit

qt

use

viewing

• 125 regular users
• 54 recent
• 1261 total installations (of 247424 submissions)

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Extract models of the Point Spread Function (PSF) from FITS images processed with SExtractor, and measures the quality of images. The generated PSF models can be used for model-fitting photometry or morphological analyses.

• Bertin, Emmanuel: Automated Morphometry with SExtractor and PSFEx. 442:435 (2011) (eprint)

• Debian Astronomy Maintainers
• Ole Streicher

• 3.24.2-2 (sid)
• 3.17.1+dfsg-3 (stretch)
• 3.17.1+dfsg-5 (buster)
• 3.17.1+dfsg-6 (bullseye)
• 3.21.1-1 (bookworm)
• 3.24.2-2 (trixie)

• 4 regular users
• 11 recent
• 92 total installations (of 247424 submissions)

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APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses Matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.

• Debian Astronomy Team
• Ole Streicher

• 2.1.0-3 (trixie)
• 2.1.0-1 (bookworm)
• 1.1.1-1 (stretch)
• 2.0.3-2 (bullseye)
• 2.0.3-1 (buster)
• 2.1.0-3 (sid)

• 14 regular users
• 20 recent
• 168 total installations (of 247424 submissions)

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Astroalign is a Python module that will try to align two stellar astronomical images, especially when there is no WCS information available.

It does so by finding similar 3-point asterisms (triangles) in both images and deducing the affine transformation between them.

Generic registration routines try to match feature points, using corner detection routines to make the point correspondence. These generally fail for stellar astronomical images, since stars have very little stable structure and so, in general, indistinguishable from each other. Asterism matching is more robust, and closer to the human way of matching stellar images.

• Debian Astronomy Team
• Ole Streicher

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AstroML is a Python 3 module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of statistical and machine learning routines for analyzing astronomical data in Python, loaders for several open astronomical datasets, and a large suite of examples of analyzing and visualizing astronomical datasets.

• J.T. Vanderplas, A.J. Connolly, Z. Ivezic and A. Gray: Introduction to astroML: Machine learning for astrophysics. :47-54 (2012) (eprint)

• Debian Astronomy Team
• Alexandre Detiste

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The astropy package contains core functionality and some common tools needed for performing astronomy and astrophysics research with Python. It can be extended by a number of "affiliated packages" that are intended to work with the core package.

• The Astropy Collaboration, A. M. Price-Whelan, B. M. Sipőcz, H. M. Günther, P. L. Lim, S. M. Crawford, S. Conseil, D. L. Shupe, M. W. Craig, N. Dencheva, A. Ginsburg, J. T. VanderPlas, L. D. Bradley, D. Pérez-Suárez, M. de Val-Borro, T. L. Aldcroft, K. L. Cruz, T. P. Robitaille, E. J. Tollerud, C. Ardelean, T. Babej, Y. P. Bach, M. Bachetti, A. V. Bakanov, S. P. Bamford, G. Barentsen, P. Barmby, A. Baumbach, K. L. Berry, F. Biscani, M. Boquien, K. A. Bostroem, L. G. Bouma, G. B. Brammer, E. M. Bray, H. Breytenbach, H. Buddelmeijer, D. J. Burke, G. Calderone, J. L. Cano Rodríguez, M. Cara, J. V. M. Cardoso, S. Cheedella, Y. Copin, L. Corrales, D. Crichton, D. D’Avella, C. Deil, É. Depagne, J. P. Dietrich, A. Donath, M. Droettboom, N. Earl, T. Erben, S. Fabbro, L. A. Ferreira, T. Finethy, R. T. Fox, L. H. Garrison, S. L. J. Gibbons, D. A. Goldstein, R. Gommers, J. P. Greco, P. Greenfield, A. M. Groener, F. Grollier, A. Hagen, P. Hirst, D. Homeier, A. J. Horton, G. Hosseinzadeh, L. Hu, J. S. Hunkeler, Ž. Ivezić, A. Jain, T. Jenness, G. Kanarek, S. Kendrew, N. S. Kern, W. E. Kerzendorf, A. Khvalko, J. King, D. Kirkby, A. M. Kulkarni, A. Kumar, A. Lee, D. Lenz, S. P. Littlefair, Z. Ma, D. M. Macleod, M. Mastropietro, C. McCully, S. Montagnac, B. M. Morris, M. Mueller, S. J. Mumford, D. Muna, N. A. Murphy, S. Nelson, G. H. Nguyen, J. P. Ninan, M. Nöthe, S. Ogaz, S. Oh, J. K. Parejko, N. Parley, S. Pascual, R. Patil, A. A. Patil, A. L. Plunkett, J. X. Prochaska, T. Rastogi, V. Reddy Janga, J. Sabater, P. Sakurikar, M. Seifert, L. E. Sherbert, H. Sherwood-Taylor, A. Y. Shih, J. Sick, M. T. Silbiger, S. Singanamalla, L. P. Singer, P. H. Sladen, K. A. Sooley, S. Sornarajah, O. Streicher, P. Teuben, S. W. Thomas, G. R. Tremblay, J. E. H. Turner, V. Terrón, M. H. van Kerkwijk, A. de la Vega, L. L. Watkins, B. A. Weaver, J. B. Whitmore, J. Woillez and V. Zabalza: The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package. The Astronomical Journal 156(3):123 (2018) (eprint)

• Debian Astronomy Maintainers
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Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays), based on Pieter van Dokkum's L.A.Cosmic algorithm. Parallelization is achieved using OpenMP.

• van Dokkum, P. G.: Cosmic-Ray Rejection by Laplacian Edge Detection. Publications of the Astronomical Society of the Pacific 113:1427 - 1420 (2001) (eprint)

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The ccdproc package provides many of the necessary tools for processing of ccd images built on a framework to provide error propagation and bad pixel tracking throughout the reduction process.

• Debian Astronomy Team
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CVXOPT is a Python package for convex optimization. It includes

• Python classes for storing and manipulating dense and sparse matrices
• an interface to most of the double-precision real and complex BLAS
• an interface to the dense linear equation solvers and eigenvalue routines from LAPACK
• interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD.
• routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK
• a modeling tool for specifying convex piecewise-linear optimization problems.

This package contains the Python 3 module.

• Debian Science Maintainers
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emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation.

• D. Foreman-Mackey, D.W. Hogg, D. Lang and J. Goodman: emcee: The MCMC Hammer. Publications of the Astronomical Society of the Pacific 125:306-312 (2013) (eprint)

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Python 3 module that supports orbit integration in a variety of potentials, evaluating and sampling various distribution functions, and the calculation of action-angle coordinates for all static potentials.

• Debian Astronomy Maintainers
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HEALPix is an acronym for Hierarchical Equal Area isoLatitude Pixelization of a sphere. As suggested in the name, this pixelization produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. It is commonly used to store all-sky astronomical images, most famously maps of the cosmic microwave background.

This package provides a Python3 wrapper around the C++ implementation of HEALPix.

• Debian Astro Team
• Michael R. Crusoe

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The lmfit Python package provides a simple, flexible interface to non-linear optimization or curve fitting problems. The package extends the optimization capabilities of scipy.optimize by replacing floating pointing values for the variables to be optimized with Parameter objects. These Parameters can be fixed or varied, have upper and/or lower bounds placed on its value, or written as an algebraic expression of other Parameters.

The principal advantage of using Parameters instead of simple variables is that the objective function does not have to be rewritten to reflect every change of what is varied in the fit, or what relationships or constraints are placed on the Parameters. This means a scientific programmer can write a general model that encapsulates the phenomenon to be optimized, and then allow user of that model to change what is varied and fixed, what range of values is acceptable for Parameters, and what constraints are placed on the model. The ease with which the model can be changed also allows one to easily test the significance of certain Parameters in a fitting model.

The lmfit package allows a choice of several optimization methods available from scipy.optimize. The default, and by far best tested optimization method used is the Levenberg-Marquardt algorithm from MINPACK-1 as implemented in scipy.optimize.leastsq. This method is by far the most tested and best support method in lmfit, and much of this document assumes this algorithm is used unless explicitly stated. An important point for many scientific analysis is that this is only method that automatically estimates uncertainties and correlations between fitted variables from the covariance matrix calculated during the fit.

A few other optimization routines are also supported, including Nelder-Mead simplex downhill, Powell's method, COBYLA, Sequential Least Squares methods as implemented in scipy.optimize.fmin, and several others from scipy.optimize. In their native form, some of these methods setting allow upper or lower bounds on parameter variables, or adding constraints on fitted variables. By using Parameter objects, lmfit allows bounds and constraints for all of these methods, and makes it easy to swap between methods without hanging the objective function or set of Parameters.

Finally, because the approach derived from MINPACK-1 usin the covariance matrix to determine uncertainties is sometimes questioned (and sometimes rightly so), lmfit supports methods to do a brute force search of the confidence intervals and correlations for sets of parameters.

This is the Python 3 version of the package.

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Pythonic wrapper around FFTW, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform.

Both the complex DFT and the real DFT are supported, as well as arbitrary axes of abitrary shaped and strided arrays, which makes it almost feature equivalent to standard and real FFT functions of numpy.fft (indeed, it supports the clongdouble dtype which numpy.fft does not).

pyFFTW is BSD-licensed and should not be confused with python-fftw, a GPL-licensed python module with the same aim of providing python bindings to FFTW3. Or python3-gpyfft, which provides bindings to the OpenCL FFT library clFFT.

This package provides the Python 3 bindings.

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PyRAF is a command language for running IRAF tasks in a Python like environment. It works very similar to IRAF CL, but has been updated to allow such things as importing Python modules, GUI parameter editing and help. It can be imported into Python allowing you to run IRAF commands from within a larger script.

• Debian Astro Team
• Ole Streicher

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The pyvo module currently provides these main capabilities: Find archives that provide particular data of a particular type and/or relates to a particular topic search an archive for datasets of a particular type. Do simple searches on catalogs or databases get information about an object via its name.

This is the Python 3 version of the package.

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SEP makes the core algorithms of Source Extractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible.

This Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays.

• Debian Astronomy Team
• Phil Wyett

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The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters. It aims to be a versatile data container for building custom analysis routines.

• A. Ginsburg, T. Robitaille, C. Beaumont, E. Rosolowsky, A. Leroy, C. Brogan, T. Hunter, P. Teuben and D. Brisbin: Radio Astronomy Tools in Python: Spectral-cube, pvextractor, and more. Revolution in Astronomy with ALMA: The Third Year :363 (2015) (eprint)

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Synphot simulates photometric data and spectra, observed or otherwise. It can incorporate external filters, spectra, and data. One can also use a pre-defined standard star (Vega), bandpass, or extinction law. Furthermore, it allows one to:

• Construct complicated composite spectra using different models.
• Simulate observations.
• Compute photometric properties such as count rate, effective wavelength, and effective stimulus.
• Manipulate a spectrum; e.g., applying redshift or normalize it to a given flux value in a given bandpass.
• Sample a spectrum at given wavelengths.
• Plot a quick-view of a spectrum.
• Perform repetitive operations such as simulating the observations of multiple type of sources through multiple bandpasses.

• Debian Astronomy Team
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QFitsView is a FITS file viewer based on DPUSER. In addition to displaying two-dimensional images, it also provides means to explore three-dimensional data cubes. It integrates the functionality of DPUSER which can be accessed directly out of QFitsView.

Note that this package was compiled with the giza library instead of PGPLOT, since the latter is non-free software.

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SCAMP reads SExtractor catalogs and computes astrometric and photometric solutions for any arbitrary sequence of FITS images in a completely automatic way.

• Bertin, E.: Automatic Astrometric and Photometric Calibration with SCAMP. 351:112 (2006) (eprint)

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SkyView is a "virtual" observatory dynamically generating images of the sky in different wavelength regimes from a static image database. SkyView is intended as a quick look facility to see the heavens.

This package includes the executable.

• T. McGlynn and K. Scollick: SkyView. Astronomical Data Analysis Software and Systems III 61:34 - 37 (1994) (eprint)

• Debian Astro Team
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This (formerly SUPERSPHPLOT) is a visualisation tool for output from (astrophysical) simulations using the Smoothed Particle Hydrodynamics (SPH) method in one, two and three dimensions. It is written in Fortran 90 and can utilise the PGPLOT graphics subroutine library to do the actual plotting. It is based around a command-line menu structure but utilises the interactive capabilities of PGPLOT to manipulate data interactively in the plotting window.

• Price, D.J.: splash: An Interactive Visualisation Tool for Smoothed Particle Hydrodynamics Simulations. Publications of the Astronomical Society of Australia 24:159-173 (2007) (eprint)

• Debian Astro Team
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The STIL Tool Set is a set of command-line tools based on STIL, the Starlink Tables Infrastructure Library. It deals with the processing of tabular data; the package has been designed for, but is not restricted to, astronomical tables such as object catalogues. Some of the tools are generic and can work with multiple formats (including FITS, VOTable, CDF, CSV, SQL and ASCII), and others are specific to the VOTable format. In some ways, STILTS forms the command-line counterpart of the GUI table analysis tool TOPCAT. The package is robust, fully documented, and designed for efficiency, especially with very large datasets.

This package contains the executable.

• Taylor, M. B.: STILTS - A Package for Command-Line Processing of Tabular Data. Astronomical Data Analysis Software and Systems XV 351:666-670 (2006) (eprint)

• Debian Astro Team
• Ole Streicher

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THELI is a powerful tool to reduce optical, near- and mid-infrared astronomical imaging data, supporting more than 100 different single- and multi-chip instruments at professional observatories world-wide. The graphical user interface and internal data model allow the user to concentrate on the highly automated data processing, without being side-tracked by the specific complexities and characteristics of optical and infrared instruments. THELI is fully scalable on multi-processor machines with shared memory, allowing fast processing also of large data sets. The integrated data viewer allows access to any products on drive as well as in memory. User-defined instruments can be added, making THELI interesting for amateur astronomers as well.

• Mischa Schirmer: THELI: Convenient Reduction of Optical, Near-infrared, and Mid-infrared Imaging Data. The Astrophysical Journal Supplement 209(2):16 (2013) (eprint)

• Debian Astro Team
• Phil Wyett

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WCSLIB is a C library, supplied with a full set of Fortran wrappers, that implements the "World Coordinate System" (WCS) standard in FITS (Flexible Image Transport System).

PGSBOX draws and labels a curvilinear coordinate grid. The caller must provide a separate external function, NLFUNC, to define the non-linear coordinate transformation.

This package contains the static libraries and the C header files.

• M. R. Calabretta, F. Valdes, E. W. Greisen and S. L. Allen: Representations of distortions in FITS world coordinate systems. Astronomical Data Analysis Software and Systems (ADASS) XIII 314:551 (2004) (eprint)

• Debian Astronomy Team
• Ole Streicher

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devel

lang:c, lang:fortran, library

field

astronomy

role

devel-lib

use

converting

works-with

file, image, image:raster

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• libpgsbox-dev

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