Debian Astro AstroConda packages

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

• 2.16.1+2018.11.01-2 (buster)
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• iraf-fitsutil
• iraf-mscred
• iraf-rvsao
• iraf-sptable
• iraf-st4gem
• iraf-wcstools
• iraf-xdimsum

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The FFTW library computes Fast Fourier Transforms (FFT) in one or more dimensions. It is extremely fast. This package contains the statically linked library, header files and test programs.

This package contains the header files and static libraries. For documentation, see libfftw3-doc.

• Matteo Frigo and Steven G. Johnson: The Design and Implementation of FFTW3. 93(2):216–231 (2005) (eprint)

• Debian Science Maintainers
• Gianfranco Costamagna

• 3.3.5-3 (stretch)
• 3.3.4-2 (jessie)
• 3.3.10-2 (sid)
• 3.3.10-1 (trixie)
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devel

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devel-lib

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Depending on your system (Linux, Mac OS X, or Windows), you have to use different directories for storing user data. appdirs will help you choose an appropriate:

• user data directory (user_data_dir function)
• user config directory (user_config_dir function)
• user cache directory (user_cache_dir function)
• site data directory (site_data_dir function)
• site config directory (site_config_dir function)
• user log directory (user_log_dir function)

On Linux systems, these function return directories based on the XDG Base Directory Specification.

This is the Python 3 version of the package.

• Debian Python Team
• Bastian Germann

• 1.4.4-4 (sid)
• 1.3.0-2 (jessie)
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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
• Ole Streicher

• 6.1.5-2 (sid)
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GWCS takes a general approach to WCS. It supports a data model which includes the entire transformation pipeline from input coordinates (detector by default) to world coordinates. The goal is to provide a flexible toolkit which is easily extendible by adding new transforms and frames.

This package contains the Python 3 version of the package.

• Debian Astro Team
• Phil Wyett

• 0.18.3-1 (bookworm)
• 0.21.0-2 (trixie)
• 0.21.0-2 (sid)
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NumPy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.

This package installs NumPy for Python 3.

• Debian Python Team
• Stefano Rivera

• 1.26.4+ds-12 (trixie)
• 1.8.2-2 (jessie)
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• python3-shapely

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The XPA messaging system provides seamless communication between many kinds of Unix programs, including Tcl/Tk programs such as ds9. The pyds9 module uses a Python interface to XPA to communicate with ds9. It supports communication with all of ds9’s XPA access points.

• Debian Astronomy Team
• Ole Streicher

• 1.8.1-5 (buster)
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• 1.8.1-5 (bookworm)
• 1.8.1-5 (trixie)
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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

• 2.1.15-2 (buster)
• 2.1.15-2 (bullseye)
• 2.2.1-1 (bookworm)
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pysynphot simulates photometric data and spectra as they are observed with the Hubble Space Telescope (HST). Passbands for standard photometric systems are available, and users can incorporate their own filters, spectra, and data. pysynphot user interface allows you to:

• Construct complicated composite spectra from various grids of model atmosphere spectra, parameterized spectrum models, and atlases of stellar spectrophotometry.
• Simulate observations.
• Query the resulting structures for quantities of interest, such as countrate, effective wavelength, effective stimulus, as well as the wavelength and flux arrays.
• Plot HST sensitivity curves and calibration target spectra.
• Compute photometric calibration parameters for any HST instrument mode.

pysynphot can help HST observers to perform cross-instrument simulations, to examine the transmission curve of the HST Optical Telescope Assembly (OTA), and spectra of HST calibration targets. Expert users can take advantage of the control and data structures available in Python to easily perform repetitive operations such as simulate the observation of multiple type of sources through multiple observing modes.

• P. L. Lim, R. I. Diaz and V. Laidler: PySynphot User’s Guide. (2015)

• Debian Astronomy Team
• Ole Streicher

• 2.0.0+dfsg-1 (bookworm)
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SciPy complementa o popular módulo NumPy (pacote python-numpy), reunindo uma variedade de módulos de ciência e engenharia de alto nível em um único pacote.

SciPy é um conjunto de ferramentas científicas e numéricas de código aberto para Python. Atualmente suporta funções especiais, integração, solucionadores de equações diferenciais ordinárias (EDO), otimização de gradiente, algoritmos genéticos, ferramentas de programação paralela, um compilador de expressões para C++ para execução rápida, etc.

• Debian Python Team
• Michael R. Crusoe

• 1.14.0-1exp5 (experimental)
• 1.13.1-5 (trixie)
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• 1.10.1-2 (bookworm)
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shUnit2 was originally developed to provide a consistent testing solution for log4sh, a shell based logging framework similar to log4j. It is designed to work in a similar manner to JUnit, PyUnit, etc.

• William Desportes

• 2.1.6-1 (jessie)
• 2.1.8-4 (trixie)
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• 2.1.6-1.2 (bullseye)
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This package provides a selection of tools for FITS and WCS handling, image handling, and data analysis, used by other STScI packages; mainly by Pyraf.

• Debian Astro Team
• Ole Streicher

• 3.4.13-2 (buster)
• 4.0.1-3 (bookworm)
• 3.6.0-1 (bullseye)
• 4.1.1-2 (trixie)
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Advanced Scientific Data Format is a proposed replacement to the FITS standard for astronomical images and other astronomical data. The Metadata is contained in a YAML header followed by binary or ascii data.

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This package aims to provide much of the IDL "astron" functionality that pertains to coordinate manipulations in an OO framework. Our target user is a typical astronomer who needs to analyze data, work with catalogs, prepare observing proposals, and prepare for observing runs.

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This packages is obsolete and replaced by astrolib.coordinates.

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DrizzlePac allows users to easily and accurately align and combine HST images taken at multiple epochs, and even with different instruments. It is a suite of supporting tasks for AstroDrizzle which includes:astrodrizzle to align and combine imagestweakreg and tweakback for aligning images in different visitspixtopix transforms an X,Y pixel position to its pixel position after distortion correctionsskytopix transforms sky coordinates to X,Y pixel positions. A reverse transformation can be done using the task pixtosky.

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Depends on stsci.tools, stsci.convolve, stsci.image, stsci.imagemanip, stsci.imagestats, stsci.ndimage, stsci.stimage, nictools, stwcs, fitsblender, and astrolib.coords.

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POPPY (Physical Optics Propagation in PYthon) simulates physical optical propagation including diffraction. It implements a flexible framework for modeling Fraunhofer and Fresnel diffraction and point spread function formation, particularly in the context of astronomical telescopes. POPPY provides the optical modeling framework for WebbPSF (ascl:1504.007) and was developed as part of a simulation package for JWST, but is available separately and is broadly applicable to many kinds of imaging simulations.

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RELIC stands for "Release I Control". This software attempts to automatically maintain a git project's version information without the need for hardcoded values in the source code. It is designed primarily for hardcore build maintainers, and is best used with continuous integration services (i.e Travis-CI, etc).

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Specview is a tool for 1-D spectral visualization and analysis of astronomical spectrograms. Written in Java, it is capable of reading all the Hubble Space Telescope spectral data formats as well as data from several other instruments (such as IUE, FUSE, ISO, FORS and SDSS), preview spectra from MAST, and data from generic FITS and ASCII tables. It can read data from Virtual Observatory servers, and read and write spectrogram data in Virtual Observatory SED format. It can also read files in the SPC Galactic format used in the chemistry field. Once ingested, data can be plotted and examined with a large selection of custom settings. Specview supports instrument-specific data quality handling, flexible spectral units conversions, custom plotting attributes, plot annotations, tiled plots, hardcopy to JPEG files and PostScript file or printer, etc. Specview can be used to build wide-band SEDs, overplotting or combining data from the same astronomical source taken with different instruments and/or spectral bands. Data can be further processed with averaging, splicing, detrending, and Fourier filtering tools. Specview has a spectral model fitting capability that enables the user to work with multi-component models (including user- defined models) and fit models to data.

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Package is outdated and replaced by Scipy

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Package is outdated and replaced by Scipy

Visualize numpy array objects using image display tools like ds9 and ximtool

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Package is outdated and may be replaced by pyds9.

Python package for handling spherical polygons that represent arbitrary regions of the sky.sphere

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Package is outdated and replaced by Scipy

Recomputes the WCS of an HST observation and puts all distortion corrections in the headers.

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