Debian Astro Data Reduction packages

This package contains a barebone command-line solver compatible with the GUI version of astap.

No pop-up notifier.

It will not accept raw files and will not work with SharpCap since FOV is not stored.

• Debian Astronomy Team
• Thorsten Alteholz

• 2022.12.09-1 (bookworm)
• 2024.05.01-1 (sid)
• 2024.05.01-1 (trixie)

• 1 regular users
• 62 total installations (of 245023 submissions)

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The astrometry engine will take any image and return the astrometry world coordinate system (WCS), a standards-based description of the transformation between image coordinates and sky coordinates.

• D. Lang, D. W. Hogg, K. Mierle, M. Blanton and S. Roweis: Astrometry.net: Blind Astrometric Calibration of Arbitrary Astronomical Images. aj 139:1782-1800 (2010) (eprint)

• Debian Astronomy Team
• Ole Streicher

• 0.97+dfsg-1 (sid)
• 0.70+dfsg-1 (stretch)
• 0.76+dfsg-3 (buster)
• 0.82+dfsg-1 (bullseye)
• 0.93+dfsg-1 (bookworm)
• 0.97+dfsg-1 (trixie)

• 115 regular users
• 104 recent
• 1036 total installations (of 245023 submissions)

• astrometry-data-2mass
• astrometry-data-2mass-00
• astrometry-data-2mass-01
• astrometry-data-2mass-02
• astrometry-data-2mass-03
• astrometry-data-2mass-04
• astrometry-data-2mass-05
• astrometry-data-2mass-06
• astrometry-data-2mass-07
• astrometry-data-2mass-08-19
• astrometry-data-tycho2
• astrometry-data-tycho2-07
• astrometry-data-tycho2-08
• astrometry-data-tycho2-09
• astrometry-data-tycho2-10-19

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EsoRex ist das Werkzeug zur Ausführung von Rezepten der European Southern Observatory (ESO). Es listet und konfiguriert CPL-basierte Rezepte und führt sie auf der Kommandozeile aus.

Die Common Pipeline Library (CPL) beinhaltet ISO-C-Bibliotheken die umfangreiche, effiziente und stabile Werkzeuge anbieten. Es bildet die Basis für das Erzeugen von Aufgaben für automatische astronomische Datenreduktion.

Eine der Features der CPL ist die Fähigkeit Algorithmen zur Datenreduktion zu erzeugen, die als Erweiterungen (dynamische Bibliotheken) laufen. Diese werden «Rezepte» genannt und sind eines der Hauptaufgaben der CPL-Datenreduktionsentwicklungsumgebung.

• Debian Astronomy Team
• Ole Streicher

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

field

astronomy

interface

commandline

role

program

science

calculation

use

converting, organizing

works-with

image, image:raster

• 2 regular users
• 102 total installations (of 245023 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

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

• 7 regular users
• 92 total installations (of 245023 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
• Ole Streicher

• 4.0+dfsg-3 (stretch)
• 6.0+dfsg-7 (bookworm)
• 6.1+dfsg-1 (trixie)
• 6.1+dfsg-1 (sid)
• 6.0+dfsg-7 (bullseye)
• 6.0+dfsg-6 (buster)

• 9 regular users
• 4 recent
• 118 total installations (of 245023 submissions)

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This package contrains software to produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames using the "lucky imaging" technique._

The program is mainly targeted at extended objects (moon, sun), but it works as well for planets. Results obtained in many tests show at least the same image quality as with the established software AutoStakkert!3.

Input to the program can be either video files or directories containing still images. The following algorithmic steps are performed:

• First, all frames are ranked by their overall image quality.
• On the best frame, a rectangular patch with the most pronounced structure in x and y is identified automatically. (Alternatively, the user can select the patch manually as well.)
• Using this patch, all frames are aligned globally with each other.
• A mean image is computed by averaging the best frames.
• An alignment point mesh covering the object is constructed automatically. Points, where the image is too dim, or has too little contrast or structure, are discarded. The user can modify the alignment points, or set them all by hand as well.
• For each alignment point, all frames are ranked by their local contrast in a surrounding image patch.
• The best frames up to a given number are selected for stacking. Note that this list can be different for different points.
• For all frames, local shifts are computed at all alignment points.
• Using those shifts, the alignment point patches of all contributing frames are stacked into a single average image patch.
• Finally, all stacked patches are blended into a global image, using the background image in places without alignment points.
• After stacking is completed, the stacked image can be postprocessed (sharpened) either in a final step of the stacking workflow, or in a separate postprocessing job.

• Debian Astronomy Team
• Thorsten Alteholz

• 0.8.32~git20221019.66d7558-2 (bookworm)
• 0.8.32~git20230901.01f3625-2 (trixie)
• 0.8.32~git20230901.01f3625-2 (sid)

• 5 regular users
• 60 total installations (of 245023 submissions)

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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)

• Debian Astronomy Team
• Ole Streicher

• 1.0.5-1 (stretch)
• 1.1.0-2 (bookworm)
• 1.0.8-1 (bullseye)
• 1.2.0-1 (trixie)
• 1.2.0-1 (sid)
• 1.0.8-1 (buster)

• 12 regular users
• 1 recent
• 168 total installations (of 245023 submissions)

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This module can list, configure and execute CPL-based recipes from Python3. The input, calibration and output data can be specified as FITS files or as astropy fits objects in memory.

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.

• O. Streicher and P. M. Weilbacher: Python Bindings for the Common Pipeline Library. Astronomical Data Analysis Software and Systems XXI 461:853 (2012)

• Debian Astronomy Maintainers
• Phil Wyett

• 0.7.4-2 (buster)
• 0.7.4-2 (bullseye)
• 0.7.4-2 (bookworm)
• 0.7.4-4 (trixie)
• 0.7.4-4 (sid)
• 0.7.2-1 (stretch)

• 10 regular users
• 1 recent
• 152 total installations (of 245023 submissions)

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Photutils contains functions for:

• estimating the background and background rms in astronomical images
• detecting sources in astronomical images
• estimating morphological parameters of those sources (e.g., centroid and shape parameters)
• performing aperture and PSF photometry

This package contains the Python 3 version of the package.

• Debian Astronomy Team
• Ole Streicher

• 1.0.2-1 (bullseye)
• 1.6.0-1 (bookworm)
• 2.0.2-1 (trixie)
• 2.0.2-1 (sid)
• 0.3-3 (stretch)
• 0.6-1 (buster)

• 14 regular users
• 2 recent
• 178 total installations (of 245023 submissions)

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Find sources, such as stars and galaxies, in astronomical images. The input data files are in FITS file format, and are analyzed to compute the locations of sources, with the ability to distinguish between galaxies and stars using a neural-network technique.

• E. Bertin and S. Arnouts: SExtractor: Software for source extraction. Astronomy and Astrophysics Supplement 117:393-404 (1996) (eprint)

• Debian Astronomy Maintainers
• Ole Streicher

• 2.28.0+ds-2 (sid)
• 2.25.0+ds-3 (bullseye)
• 2.25.0+ds-3 (bookworm)
• 2.28.0+ds-2 (trixie)

• 65 regular users
• 47 recent
• 916 total installations (of 245023 submissions)

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Resample and co-add together FITS images using any arbitrary astrometric projection defined in the WCS standard. The main features of SWarp are:

• FITS format (including multi-extensions) in input and output,
• Full handling of weight-maps in input and output,
• Ability to work with very large images (up to 500 Mpixels on 32-bit machines and 10^6 Tpixels with 64-bits), thanks to customized virtual-memory-mapping and buffering,
• Works with arrays in up to 9 dimensions (including or not two spherical coordinates),
• Selectable high-order interpolation method (up to 8-tap filters) in any dimension,
• Compatible with WCS and TNX (IRAF) astrometric descriptions,
• Support for equatorial, galactic and equatorial coordinate systems,
• Astrometric and photometric parameters are read from FITS headers or external ASCIIfiles,
• Built-in background subtraction,
• Built-in noise-level measurement for automatic weighting,
• Automatic centering and sizing functions of the output field,
• Multi-threaded code with load-balancing to take advantageof multiple processors.
• XML VOTable-compliant output of meta-data.

• E. Bertin, Y. Mellier, M. Radovich, G. Missonnier, P. Didelon and B. Morin: The TERAPIX Pipeline. 281:228 (2002)

• Debian Astronomy Maintainers
• Nilesh Patra

• 2.38.0+dfsg-3 (stretch)
• 2.41.5-1 (sid)
• 2.41.5-1 (trixie)
• 2.41.5-1 (bookworm)
• 2.41.4-2 (bullseye)
• 2.38.0+dfsg-4 (buster)
• 2.19.1-1 (jessie)

• 4 regular users
• 99 total installations (of 245023 submissions)

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WeightWatcher is a program that combines weight-maps, flag-maps and polygon data in order to produce control maps which can directly be used in astronomical image-processing packages like Drizzle, Swarp or SExtractor.

Weight-thresholding and/or specific flag selections are applied by WeightWatcher through a configuration file: this alleviates other programs from such interpretation work. WeightWatcher will mostly be useful as part of an imaging survey pipeline. Its main features are:

• Processing speed: limited by the I/O performances of the machine (typically 50 Mpixel/s on a workstation),
• Ability to work with very large images (up to, say, 10^8 × 10^9 pixels on a 64 bit system),
• FITS format (including Multi-Extension) is used for input and output. Output flag-map format selection is automatic (8, 16 or 32bits),
• Up to 30 weight-maps, 30 flag-maps, and thousands of polygons can be handled simultaneously.
• Automatic rasterizing of DS9 .reg files,
• Statistics of flagged and weighted areas,
• Metadata output in XML-VOTable format.

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

• Debian Astronomy Maintainers
• Ole Streicher

• 1.12+dfsg-3 (sid)
• 1.12+dfsg-2 (bullseye)
• 1.12+dfsg-3 (trixie)
• 1.12+dfsg-1 (buster)
• 1.12+dfsg-3 (bookworm)
• 1.12-1 (stretch)

• 1 regular users
• 85 total installations (of 245023 submissions)

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FORS pipeline recipes for the reduction of data obtained with the FORS1 and FORS2 instruments in the LSS, MOS, MXU, PMOS, and direct imaging instrument modes.

FORS is the visual and near UV FOcal Reducer and low dispersion Spectrograph for the Very Large Telescope (VLT) of the European Southern Observatory (ESO). Two versions of FORS have been built, upgraded and moved to the Cassegrain foci of different telescopes in the past years. In April 2009, FORS1 was dismounted to make room for X-shooter, so only FORS2 is in operation. FORS is designed as an all-dioptric instrument for the wavelength range from 330 nm to 1100 nm and provides an image scale of 0".25/pixel (or 0".125/pixel with the high resolution collimator) in the standard readout mode (2x2 binning). FORS2 is installed on UT1 (Antu) and is by default equipped with a detector system that is optimised for the red with a very low level of fringes thanks to a mosaic of two 2k x 4k MIT CCDs (with 15 μm pixels). However, the blue-optimised detector system that was previously available on FORS1 has been commissioned on FORS2 and can be requested for Visitor Mode observation. The geometries of both detector systems are similar, with the optical axis falling ~30" above the gap and offsets of a few arc-seconds between the two chips. FORS2 has many modes, including multi-object spectroscopy with exchangeable masks, long-slit spectroscopy, imaging and spectro-polarimetry and high-time resolution imaging and spectroscopy.

• Debian Astronomy Maintainers
• Ole Streicher

• 5.3.32+dfsg-1 (buster)
• 5.0.0+dfsg-2 (jessie)
• 5.5.6+dfsg-4 (bullseye)
• 5.3.11+dfsg-1 (stretch)

• 25 total installations (of 245023 submissions)

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• Debian Astronomy Maintainers
• Ole Streicher

• 2.4.8+dfsg-4 (bullseye)
• 2.4.11+dfsg-1 (bookworm)
• 1.8.21+dfsg-1 (stretch)
• 1.8.14+dfsg-2 (jessie)
• 2.4.3+dfsg-1 (buster)

• 83 total installations (of 245023 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

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

• 76 total installations (of 245023 submissions)

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• F. Eisenhauer, R. Abuter, K. Bickert, F. Biancat-Marchet, H. Bonnet, J. Brynnel, R.D. Conzelmann, B. Delabre, R. Donaldson, J. Farinato, E. Fedrigo, R. Genzel, N.N. Hubin, C. Iserlohe, M.E. Kasper, M. Kissler-Patig, G.J. Monnet, C. Roehrle, J. Schreiber, S. Stroebele, M. Tecza, N.A. Thatte and H. Weisz: SINFONI - Integral field spectroscopy at 50 milli-arcsecond resolution with the ESO VLT. Instrument Design and Performance for Optical/Infrared Ground-based Telescopes 4841:1548-1561 (2003) (eprint)

• Debian Astronomy Maintainers
• Ole Streicher

• 2.5.2+dfsg-2 (jessie)

• 3 total installations (of 245023 submissions)

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• Debian Astronomy Maintainers
• Ole Streicher

• 3.2.3+dfsg-2 (buster)
• 4.1.7+dfsg-2 (bookworm)
• 4.1.1+dfsg-4 (bullseye)
• 2.9.15+dfsg-1 (jessie)
• 3.1.7+dfsg-1 (stretch)

• 78 total installations (of 245023 submissions)

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This is the data reduction pipeline for the XSHOOTER instrument of the Very Large Telescope (VLT) from the European Southern Observatory (ESO).

XSHOOTER is a multi wavelength (300-2500nm) medium resolution spectrograph mounted at the UT2 Cassegrain focus. XSHOOTER consists of 3 arms, each with optimized optics, dispersive elements and detectors:

• UVB, covering the wavelength range 300-559.5 nm,
• VIS, covering the wavelength range 559.5-1024 nm,
• NIR, covering the wavelength range 1024-2480 nm.

• Debian Astronomy Maintainers
• Ole Streicher

• 3.5.0+dfsg-4 (bullseye)
• 3.2.0+dfsg-1 (buster)
• 2.5.2+dfsg-1 (jessie)
• 2.8.4+dfsg-3 (stretch)

• 22 total installations (of 245023 submissions)

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