Debian Astro AstroConda packages

IRAF er »Image Reduction and Analysis Facility«. Hoveddistributionen IRAF indeholder et godt udvalg af programmer til generel billedbehandling og grafik.

Andre eksterne og lagdelte pakker er tilgængelige for programmer såsom dataindhentelse eller håndtering af data fra andre observatorier og bølgelængderegimer såsom Hubble Space Telescope (optical), EUVE (extreme ultra-violet) eller ROSAT og AXAF (X-ray). Disse eksterne pakker distribueres separat fra hoveddistributionen IRAF, men kan nemt installeres. IRAF-systemet indeholder også den programmerbare facilitet Command Language Scripting.

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

• Debian Astro Team
• Ole Streicher

• 2.17-4 (bookworm)
• 2.18.1-2 (forky)
• 2.18.1-2 (sid)
• 2.16.1+2018.11.01-6 (bullseye)
• 2.18.1-2 (trixie)

• 25 regular users
• 29 recent
• 197 total installations (of 270256 submissions)

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

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FFTW-biblioteket beregner Fast Fourier Transforms (FFT) i en eller flere dimensioner. Den er ekstrem hurtig. Denne pakke indeholder det statistisk lænkede bibliotek, hovedfiler og testprogrammer.

Denne pakke indeholder teksthovedfiler og statiske biblioteker. For dokumentation se 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

• 3.3.10-1 (bookworm)
• 3.3.10-2 (trixie)
• 3.3.10-2 (forky)
• 3.3.10-2 (sid)
• 3.3.8-2 (bullseye)

devel

library

role

devel-lib

• 450 regular users
• 819 recent
• 7666 total installations (of 270256 submissions)

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• Debian Python Team
• Sandro Tosi

• 1.4.4-3 (bookworm)
• 1.4.4-1 (bullseye)

• 374 regular users
• 465 recent
• 17164 total installations (of 270256 submissions)

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Pakken astropy indeholder grundlæggende funktionalitet og nogle gængse værktøjer krævet for at udføre forskning indenfor astronomi og astrofysik med Python. Pakken kan udvides med et antal »forbundne pakker«, som er lavet til at fungere med grundpakken.

• 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

• 7.1.0-2 (forky)
• 7.1.1-1 (sid)
• 7.1.1-2 (experimental)
• 5.2.1-2 (bookworm)
• 7.0.1-3 (trixie)
• 4.2-6 (bullseye)

• 299 regular users
• 158 recent
• 1478 total installations (of 270256 submissions)

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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
• Ole Streicher

• 0.26.0-1 (sid)
• 0.16.1-1 (bullseye)
• 0.18.3-1 (bookworm)
• 0.24.0-1 (trixie)
• 0.26.0-1 (forky)

• 14 regular users
• 30 recent
• 205 total installations (of 270256 submissions)

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• Debian Python Team
• Timo Röhling

• 2.2.4+ds-1.2 (forky)
• 1.24.2-1+deb12u1 (bookworm)
• 1.19.5-1 (bullseye)
• 2.3.3+ds-3 (sid)
• 2.2.4+ds-1 (trixie)
• 2.3.4 (upstream)

• 23873 regular users
• 4966 recent
• 49956 total installations (of 270256 submissions)

• python3-shapely

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XPA-beskedsystemet tilbyder god kommunikation mellem mange slags Unix-programmer, inklusive Tcl/Tk-programmer såsom ds9. Pyds9-modulet bruger en Pythongrænseflade til XPA for at kommunikere med ds9. Systemet understøtter kommunikation mellem alle ds9's XP-adgangspunkter.

• Debian Astronomy Team
• Alexandre Detiste

• 1.8.1-7 (forky)
• 1.8.1-5 (bullseye)
• 1.8.1-5 (bookworm)
• 1.8.1-7 (trixie)
• 1.8.1-7 (sid)

• 56 regular users
• 21 recent
• 192 total installations (of 270256 submissions)

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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

• 2.2.3-2 (forky)
• 2.2.2-4~deb13u1 (trixie)
• 2.2.1-1 (bookworm)
• 2.1.15-2 (bullseye)
• 2.2.3-2 (sid)

• 16 regular users
• 29 recent
• 169 total installations (of 270256 submissions)

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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
• Alexandre Detiste

• 2.0.0+dfsg-3 (trixie)
• 2.0.0+dfsg-3 (forky)
• 2.0.0+dfsg-3 (sid)
• 1.0.0+dfsg-1 (bullseye)
• 2.0.0+dfsg-1 (bookworm)

• 11 regular users
• 20 recent
• 176 total installations (of 270256 submissions)

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SciPy er et supplement til det populære NumPy-modul (pakken python-numpy), der samler en række af videnskabelige og ingeniørmæssige moduler på højt niveau i en pakke.

SciPy er et sæt af åben kildekode videnskabelige og numeriske værktøjer for Python. Den understøtter aktuelt specielle funktioner, integration, ordinære løsere af differentialligninger (ODE), gradoptimering, genetiske algoritmer, parallelle programmeringsværktøjer, en udtryk-til-C++ kompiler for hurtig udførelse og andre.

• Debian Python Team
• Drew Parsons

• 1.16.2-4 (sid)
• 1.10.1-2 (bookworm)
• 1.6.0-2 (bullseye)
• 1.15.3-1 (trixie)
• 1.15.3-1.1 (forky)

• 14295 regular users
• 3231 recent
• 27649 total installations (of 270256 submissions)

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shUnit2 blev oprindelig udviklet for at tilbyde en konsistent testløsning for log4sh, en skalbaseret logningsramme svarende til log4j. Rammen er designet til at fungere på en måde svarende til JUnit, PyUnit etc.

• William Desportes

• 2.1.8-4 (sid)
• 2.1.8-3 (bookworm)
• 2.1.8-4 (trixie)
• 2.1.8-4 (forky)
• 2.1.6-1.2 (bullseye)

• 20 regular users
• 17 recent
• 215 total installations (of 270256 submissions)

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Denne pakke tilbyder et udvalg af værktøjer for FITS- og WCS-håndtering, billedhåndtering og dataanalyse, brugt af andre STScI-pakker; hovedsagelig af Pyraf.

• Debian Astro Team
• Ole Streicher

• 3.6.0-1 (bullseye)
• 4.2.0-1 (sid)
• 4.0.1-3 (bookworm)
• 4.2.0-1 (trixie)
• 4.2.0-1 (forky)

• 2 regular users
• 1 recent
• 45 total installations (of 270256 submissions)

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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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