Debian Astro Python3 packages

IPython kan bruges som en erstatning for standardskallen for Python, eller den kan bruges som et fuldstændig arbejdsmiljø for videnskabelig beregning (såsom Matlab eller Mathematica) når parret med de videnskabelige og numeriske standardværktøjer for Python. Pakken understøtter dynamiske objektintrospektioner, nummererede input/output prompter, et makrosystem, sessionslogning, gendannelse af session, fuldstændig skaladgang for systemet, uddybende og farvelagte sporingsrapporter, automatiske parenteser, automatisk citation og er indlejret i andre Pythonprogrammer.

Denne pakke indeholder den faktiske terminalskal for Python 3.

• Debian Python Team
• Stefano Rivera

• 8.5.0-4 (bookworm)
• 5.1.0-3 (stretch)
• 5.1.0-3+deb9u1 (stretch-security)
• 5.8.0-1+deb10u1 (buster)
• 2.3.0-2 (jessie)
• 5.8.0-1+deb10u1 (buster-security)
• 7.20.0-1+deb11u1 (bullseye)
• 8.20.0-1 (sid)
• 8.20.0-1 (trixie)
• 7.20.0-1+deb11u1 (bullseye-security)
• 8.23.0 (upstream)

• 1224 regular users
• 257 recent
• 7136 total installations (of 236283 submissions)

• isympy3
• python3-matplotlib
• python3-sympy

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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

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

• 6 regular users
• 3 recent
• 148 total installations (of 236283 submissions)

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astLib is a set of Python3 modules that provides some tools for research astronomers. It can be used for astronomical plots, some statistics, common calculations, coordinate conversions, and manipulating FITS images with World Coordinate System (WCS) information through PyWCSTools - a simple wrapping of WCSTools by Jessica Mink. PyWCSTools is distributed (and developed) as part of astLib.

• Debian Astro Team
• Dmitry Shachnev

• 0.11.10-2 (trixie)
• 0.10.2-2 (buster)
• 0.11.10-2 (sid)
• 0.11.5-1 (bullseye)
• 0.11.8-1 (bookworm)
• 0.8.0-4 (stretch)

• 50 regular users
• 2 recent
• 126 total installations (of 236283 submissions)

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Python 3-modul til at beregne dendrogrammer over observerede eller simulerede astronomiske data i Python 3.

• Debian Astronomy Maintainers
• Ole Streicher

• 0.2.0+dfsg1-4 (trixie)
• 0.2.0+dfsg1-4 (bookworm)
• 0.2.0+dfsg1-2 (bullseye)
• 0.2.0+dfsg1-4 (sid)
• 0.2.0+dfsg1-1 (buster)

• 6 regular users
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• 114 total installations (of 236283 submissions)

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Astroplan is an observation planning package for astronomers that can help you plan for everything but the clouds.

It is an Astropy affiliated package that seeks to make your life as an observational astronomer a little less infuriating.

This is the Python 3 version of the package.

• Debian Astro Team
• Ole Streicher

• 0.2-5 (stretch)
• 0.7-1 (bullseye)
• 0.4-4 (buster)
• 0.9.1-2 (sid)
• 0.7-4 (bookworm)
• 0.9.1-2 (trixie)
• 0.10 (upstream)

• 7 regular users
• 3 recent
• 150 total installations (of 236283 submissions)

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A major part of the Astropy project is the concept of “Affiliated Packages”. An affiliated package is an astronomy-related Python package that is not part of the astropy core package, but has requested to be included as part of the Astropy project’s community. These packages are expressing an interest in Astropy’s goals of improving reuse, interoperability, and interface standards for Python astronomy and astrophysics packages.

This metapackage installs all affiliated packages.

• Debian Astro Team
• Ole Streicher

• 1.2 (stretch)
• 2.1 (trixie)
• 1.5 (buster)
• 1.5 (bullseye)
• 2.1 (sid)
• 2.1 (bookworm)

• 115 total installations (of 236283 submissions)

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HEALPix er et akronym for Hierarchical Equal Area isoLatitude Pixelization af en sfære. Som antydet i navnet laver denne pixelization en underopdeling af en sfærisk overflade hvori hvert billedpunkt dækker det samme overfladerum som andre billedpunkter. Det bruges normalt til at lagre »all-sky« astronomiske billeder, mest kendt kort over den kosmiske mikrobølgebaggrund.

Dette er en HEALPix-pakke med BSD-licensen udviklet af Astropyprojektet og baseret på C-kode skrevet af Dustin Lang i astronomy.net.

Denne pakke tilbyder moduler for Python 3.

• Debian Astronomy Maintainers
• Ole Streicher

• 0.4-5 (buster)
• 1.0.0-2 (trixie)
• 1.0.0-2 (sid)
• 0.6-1 (bullseye)
• 0.6-2 (bookworm)
• 1.0.3 (upstream)

• 10 regular users
• 3 recent
• 155 total installations (of 236283 submissions)

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Astro-SCRAPPY er designet til at registrere kosmiske stråler i billeder (numpy-tabeller), baseret på Pieter van Dokkums L.A.Cosmic-algoritme. Parallelisering opnås via 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

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

• 9 regular users
• 3 recent
• 159 total installations (of 236283 submissions)

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Pakken casacore indeholder de grundlæggende biblioteker for den gamle AIPS++/CASA-pakke. Denne opdeling blev lavet for at få en bedre adskillelse af de grundlæggende biblioteker og programmer. CASA er nu bygget oven på casacore.

Dette er Pythonomslaget omkring biblioteket.

• Debian Astro Team
• Ole Streicher

• 3.0.0-1 (buster)
• 3.5.2-1 (sid)
• 2.1.2-3 (stretch)
• 3.5.2-1 (trixie)
• 3.5.2-1 (bookworm)
• 3.3.1-1 (bullseye)

• 34 regular users
• 6 recent
• 216 total installations (of 236283 submissions)

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Dette modul kan vise, konfigurere og køre CPL-baserede opskrifter fra Python3. Inddata, kalibrering og uddata kan specificeres som FITS-filer eller som astropy fits-objekter i hukommelsen.

Common Pipeline Library (CPL) består af et sæt af ISO-C-biblioteker, som tilbyder et omfattende, effektivt og robust programværktøjssæt. Den udfører et grundlag for oprettelsen af automatiserede astronomiske datareduktionsopgaver.

En af funktionerne tilbudt af CPL'en er muligheden for at oprette algoritmer for datareduktion, som kører som udvidelsesmoduler (dynamiske biblioteker). Disse kaldes for »opskrifter« og er et af hovedaspekterne til udviklingsmiljøet for CPL-datareduktion.

• 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
• Ole Streicher

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

• 7 regular users
• 1 recent
• 137 total installations (of 236283 submissions)

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Dask is a flexible parallel computing library for analytics, containing two components.

1. Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads.
2. "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.

This contains the Python 3 version.

• Debian Python Team
• Julian Gilbey

• 2022.12.1+dfsg-2 (bookworm)
• 1.0.0+dfsg-2 (buster)
• 2023.12.1+dfsg-2 (sid)
• 2021.01.0+dfsg-1 (bullseye)
• 2023.12.1+dfsg-2 (trixie)
• 2024.4.2 (upstream)

• 158 regular users
• 42 recent
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The drms module provides an easy-to-use Python interface for accessing HMI, AIA and MDI data with Python. It uses the publicly accessible Joint Science Operations Center (JSOC) server by default, but can also be used with local NetDRMS sites.

The Helioseismic and Magnetic Imager (HMI) and the Atmospheric Imaging Assembly (AIA) are instruments aboard the Solar Dynamics Observatory (SDO) designed to study oscillations and the magnetic field at the solar surface. The Michelson Doppler Imager (MDI) is the predecessor to the current HMI and was launched aboard the Solar and Heliospheric Observatory (SOHO). HMI and MDI observe the full solar disk at 6173 Å with high resolution, while AIA is designed to study the solar corona.

• Debian Astro Team
• Ole Streicher

• 0.6.1-1 (bullseye)
• 0.5.6-1 (buster)
• 0.7.1-1 (sid)
• 0.7.1-1 (trixie)
• 0.6.3-1 (bookworm)

• 7 regular users
• 2 recent
• 111 total installations (of 236283 submissions)

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Emcee er en udvidelig, pure-Python implementering af Goodman & Wears Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble-sampler. Den er designet for bayesiansk parameterestimering.

• 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)

• Debian Astronomy Team
• Ole Streicher

• 3.1.4-1 (bookworm)
• 3.0.2-2 (bullseye)
• 3.1.6-1 (sid)
• 3.1.4-1 (trixie)
• 2.2.1-1 (buster)
• 2.2.1-1 (stretch)

• 12 regular users
• 4 recent
• 132 total installations (of 236283 submissions)

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Extinction indeholder Cython-optimerede implementeringer af empiriske støvudryddelseslove fundet i astronomisk litteratur.

• Debian Astronomy Team
• Ole Streicher

• 0.4.6-3 (trixie)
• 0.4.6-3 (sid)
• 0.4.6-3 (bookworm)

• 2 recent
• 47 total installations (of 236283 submissions)

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Fitsio provides an easy to use object-oriented API including providing a Numpy interface to FITS files read from CFITSIO. It allows direct access to the columns of a FITS binary table which can be useful for reading large fits files. Compared to astropy.io.fits, this package is closer to the underlying cfitsio library.

Fitsio also exposes a microlanguage (implemented in CFITSIO) for making efficient SQL-like queries of tables (single tables only though–no joins or anything like that).

• Debian Astronomy Team
• Ole Streicher

• 1.1.8+dfsg-1 (bookworm)
• 0.9.12+dfsg-1 (buster)
• 0.9.10+dfsg-1 (stretch)
• 1.1.4+dfsg-1 (bullseye)
• 1.2.1+dfsg-1 (sid)
• 1.2.1+dfsg-1 (trixie)

• 7 regular users
• 4 recent
• 146 total installations (of 236283 submissions)

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Gammapy er en under udvikling affileret pakke for Astropy, der bygger på den grundlæggende videnskabelige Pythonstak for at tilbyde værktøjer til at simulere og analysere gamma-ray-skyen for teleskoper såsom CTA, H.E.S.S, VERITAS, MAGIC, HAWC og Fermi-LAT.

• C. Deil, R. Zanin, J. Lefaucheur, C. Boisson, B. Khélifi, R. Terrier, M. Wood, L. Mohrmann, N. Chakraborty, J. Watson, R. López Coto, S. Klepser, M. Cerruti, J.-P. Lenain, F. Acero, A. Djannati-Ataï, S. Pita, Z. Bosnjak, J. E. Ruiz, C. Trichard, T. Vuillaume, A. Donath, J. King, L. Jouvin, E. Owen, M. P. Arribas, B. Sipocz, D. Lennarz, A. Voruganti and M. Spir-Jacob: Gammapy - A prototype for the CTA science tools. ArXiv e-prints (2017) (eprint)

• Debian Astro Team
• Ole Streicher

• 1.1-4 (trixie)
• 1.0-2 (bookworm)
• 0.17-2 (bullseye)
• 0.10-1 (buster)
• 1.1-4 (sid)
• 1.2 (upstream)

• 3 regular users
• 3 recent
• 88 total installations (of 236283 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.

• Debian Astronomy Team
• Ole Streicher

• 2.6.1-2 (stretch)
• 2.7.2-2 (buster)
• 5.0.1-1 (trixie)
• 5.0.1-1 (sid)
• 3.1.0-1 (bullseye)
• 4.0.1-1 (bookworm)

• 8 regular users
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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

• 0.18.3-1 (bookworm)
• 0.21.0-1 (trixie)
• 0.21.0-1 (sid)
• 0.16.1-1 (bullseye)
• 0.10.0-2 (buster)

• 9 regular users
• 10 recent
• 143 total installations (of 236283 submissions)

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HEALPix er et akronym for Hierarchical Equal Area isoLatitude Pixelization af en sfære. Som antydet i navnet laver denne pixelization en underopdeling af en sfærisk overflade hvori hvert billedpunkt dækker det samme overfladerum som andre billedpunkter. Det bruges normalt til at lagre »all-sky« astronomiske billeder, mest kendt kort over den kosmiske mikrobølgebaggrund.

Denne pakke tilbyder et Python 3-omslag omkring C++implementeringen af HEALPix.

• Debian Astro Team
• Michael R. Crusoe

• 1.16.6-2 (sid)
• 1.16.6-1 (trixie)
• 1.16.1-1 (bookworm)
• 1.14.0-1 (bullseye)
• 1.10.3-2 (stretch)
• 1.12.8-8 (buster)

• 10 regular users
• 9 recent
• 164 total installations (of 236283 submissions)

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Imexam is an affiliated package of AstroPy. It was designed to be a lightweight library which enables users to explore data using common methods which are consistent across viewers. It can be used from a command line interface, through a Jupyter notebook or through a Jupyter console. It can be used with multiple viewers, such as DS9 or Ginga, or without a viewer as a simple library to make plots and grab quick photometry information.

• Debian Astronomy Team
• Ole Streicher

• 0.8.0-3 (buster)
• 0.9.1-4 (bookworm)
• 0.9.1-6 (sid)
• 0.9.1-6 (trixie)
• 0.9.1-1 (bullseye)

• 5 regular users
• 3 recent
• 112 total installations (of 236283 submissions)

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Pakken lmfit tilbyder en simpel, fleksibel grænseflade til ikkelineær optimering af kurvetilpasningsproblemer. Pakken udvider optimeringsfunktionerne i scipy.optimize ved at erstatte flydende kommatalsværdier for variablerne til optimering med parameterobjekterne. Disse parametre kan være faste eller varierende, have øvre og/eller lavere grænser placeret på deres værdi, eller skrevet som et algebraisk udtryk for andre parametre.

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.

Dette er Python 3-versionen af pakken.

• Debian Science Maintainers
• Andreas Tille

• 0.8.0+dfsg.1-1 (jessie)
• 1.2.2-3 (trixie)
• 1.2.2-3 (sid)
• 0.9.5+dfsg-2 (stretch)
• 1.0.1-6 (bullseye)
• 0.9.11+dfsg-2 (buster)
• 1.1.0-1 (bookworm)
• 1.3.1 (upstream)

• 26 regular users
• 4 recent
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This package provides a Python-3 wrapper to the Montage Astronomical Image Mosaic Engine, including both functions to access individual Montage commands, and high-level functions to facilitate mosaicking and re-projecting.

• Debian Astronomy Team
• Ole Streicher

• 0.9.9-4 (bullseye)
• 0.9.9-2 (buster)
• 0.9.8-4 (stretch)

• 4 regular users
• 65 total installations (of 236283 submissions)

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Denne pakke tilbyder funktionalitet til at gøre det nemt at lave dine egne spredte tæthedsplotkort, både for interaktiv og ikkeinteraktiv brug. Hurtig.

Denne pakke installerer biblioteket for Python 3.

• Debian Astronomy Maintainers
• Josue Ortega

• 0.7-1 (bullseye)
• 0.5-1 (buster)
• 0.7-1 (sid)
• 0.7-1 (trixie)
• 0.7-1 (bookworm)

• 6 regular users
• 4 recent
• 168 total installations (of 236283 submissions)

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Numpy indeholder et kraftfuldt n-dimensionelt tabelobjekt, sofistikerede (udsendelser) funktioner, værktøjer til integrering af kode i C/C++ og Fortran og brugbare lineære algebra, Fourieromdannelse og vilkårlige talfunktioner.

Denne pakke installerer Numpy for Python 3.

• Debian Python Team
• Timo Röhling

• 1.16.2-1 (buster)
• 1.19.5-1 (bullseye)
• 1.24.2-1 (bookworm)
• 1.24.2-2 (trixie)
• 1.26.4+ds-6 (sid)
• 1.12.1-3 (stretch)
• 1.8.2-2 (jessie)

• 25356 regular users
• 2480 recent
• 43044 total installations (of 236283 submissions)

• python3-shapely

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Pandas er en Pythonpakke, der tilbyder hurtig, fleksibel og udtryksfulde datastrukturer designet til at gør arbejde med »relationelle« data eller »etiketdata« både nemt og intuitivt. Pakken forsøger at være den fundamentale byggeblok på højt niveau for udførsel af praktisk, reel dataanalyse i Python. Pandas er velegnet til mange forskellige slags data:

• Tabulære data med heterogent-tastede kolonner, som i en SQL-tabel eller Excelregneark
• Ordnede eller ikke ordnede (ikke nødvendigvis fast-frekvens) tidsseriedata
• Arbitrære matrix-data (homogent indtastet eller heterogent) med række- og kolonneetiketter
• Enhver anden form for observationelle/statistiske datasæt. Dataene behøver ikke mærkes overhovedet for at blive placeret i en pandas- datastruktur

Denne pakke indeholder Python 3-versionen.

• McKinney, Wes: pandas: a Foundational Python Library for Data Analysis and Statistics. (2011) (eprint)

• Debian Science Team
• Rebecca N. Palmer

• 2.1.4+dfsg-5 (trixie)
• 1.1.5+dfsg-2 (bullseye)
• 0.19.2-5.1 (stretch)
• 0.14.1-2 (jessie)
• 1.5.3+dfsg-2 (bookworm)
• 2.1.4+dfsg-7 (sid)
• 0.23.3+dfsg-3 (buster)
• 2.2.2 (upstream)

• 514 regular users
• 497 recent
• 4904 total installations (of 236283 submissions)

• python3-bottleneck
• python3-sklearn-pandas

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Poliastro is an open source pure Python package dedicated to problems arising in Astrodynamics and Orbital Mechanics, such as orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, focusing on interplanetary applications

• Debian Astro Team
• Ole Streicher

• 0.11.1-1 (buster)
• 0.17.0-2 (sid)
• 0.17.0-2 (bookworm)
• 0.14.0-5 (bullseye)
• 0.18.dev0+testdo~cs (upstream)

• 11 regular users
• 3 recent
• 97 total installations (of 236283 submissions)

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PyDL consists of Python replacements for functions that are part of the IDL built-in library or part of astronomical IDL libraries. The emphasis is on reproducing results of the astronomical library functions. Only the bare minimum of IDL built-in functions are implemented to support this.

There are four astronomical libraries targeted:

• idlutils: a general suite of tools heavily used by SDSS.

• Goddard utilities: The IDL Astronomy User's Library, maintained by Wayne Landsman and distributed with idlutils.

• idlspec2d: tools for working with SDSS, BOSS and eBOSS spectroscopic data.

• photoop: tools for working with SDSS imaging data.

This is the Python 3 version of the package.

• Debian Astro Team
• Ole Streicher

• 1.0.0~rc1-2 (bullseye)
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• 1.0.0-1 (trixie)
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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.

• Debian Science Maintainers
• Andreas Tille

• 0.12.0-1 (bullseye)
• 0.13.1-2 (sid)
• 0.13.0-2 (bookworm)
• 0.11.1-2 (buster)
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• 17 regular users
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PyMOC tilbyder et Pythonkompatibelt bibliotek til at håndtere MOC'er.

Ofte er astronomiske undersøgelseskataloger eller billeder sparsomme og dækker kun en lille del af himlen. På et Multi-Order Coverage-kort er omfanget af data i et bestemt datasæt mellemlagret som et forudberegnet mask-billede. Den hierarkiske natur muliggør hurtige boolske operationer i billedrum uden at skulle udføre komplekse geometriske beregninger. Tjenester såsom VizieR tilbyder generelt MOC-masker, der giver en hurtigere oplevelse i grafiske applikationer såsom Aladin, eller for forskere, der hurtigt har brug for at finde ud af hvilke datasæt, der kan indeholde overlappende dækning.

Selve MOC-mask-billedet tesselleres og gemmes i NASA HealPix-format, kodet inde i en FITS-billedbeholder. Brug af HealPix-tessellationsmetoden (Hierarchical Equal Area isoLatitude Pixelization) sikrer, at mere præcision (billedpunkter) i masken er tilgængelig, når man beskriver komplekse former som tilnærmelsesvis undersøgelse eller polygonkanter, mens det kun behøver at gemme en enkelt stor celle/billedpunkt, når en dækning enten er helt indeni eller uden for masken. Kataloger kan gengives på masken som cirkler.

• Debian Astro Team
• Nilesh Patra

• 0.5.0-5 (trixie)
• 0.5.0-4 (buster)
• 0.5.0-5 (bullseye)
• 0.5.0-5 (bookworm)
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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 (bullseye)
• 2.2.1-2 (sid)
• 2.2.1-2 (trixie)
• 2.1.15-2 (buster)
• 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

• 0.9.12+dfsg-3 (buster)
• 2.0.0+dfsg-1 (sid)
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Radio Beam er et simpelt værktøjssæt til at læse beam-information fra FITS-teksthoveder og manipulere beams. Nogle eksempler på programmer inkluderer konvolution/dekonvolution og enhedskonvertering (Jy til/fra K).

• Debian Astronomy Team
• Ole Streicher

• 0.3.7-2 (trixie)
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Dette er en pakke til at omprojektere astronomiske billeder via diverse teknikker med en ensartet grænseflade. Omprojektering betyder omlægning af billeder fra et koordinatsystem til et andet (for eksempel ændringer af billedpunktsopløsning, retning, koordinatsystem). Implementeret i øjeblikket er omprojektering af himmelbilleder via interpolation, samt finde det præcise overlap mellem billedpunkter på himmelsfæren. Kan også omprojektere til/fra HEALPIX-projektioner.

Denne pakke indeholder Python 3-versionen af pakken.

• Debian Astronomy Team
• Ole Streicher

• 0.10.0-2 (bookworm)
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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
• Ole Streicher

• 1.2.1-6 (trixie)
• 1.2.1-6 (sid)
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Scikit-learn er en samling af Pythonmoduler, der er relevante for maskin/statistisk læring og dataundersøgelse. En ikke udtømmende liste over inkluderet funktionalitet:

• Gaussianske blandede modeller
• Manifold-læring
• kNN
• SVM (via LIBSVM)

Denne pakke indeholder Python 3-versionen.

• Debian Science Maintainers
• Michael R. Crusoe

• 1.4.1.post1+dfsg-1 (trixie)
• 0.18-5 (stretch)
• 0.20.2+dfsg-6 (buster)
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• 0.23.2-5 (bullseye)
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SNCosmo synthesizes supernova spectra and photometry from SN models, and has functions for fitting and sampling SN model parameters given photometric light curve data. It offers fast implementations of several commonly used extinction laws and can be used to construct SN models that include dust. The SNCosmo library includes 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, and provides convenience functions for reading and writing peculiar data formats used in other packages. The library is extensible, allowing new models, bandpasses, and magnitude systems to be defined using an object-oriented interface.

• Debian Astronomy Team
• Ole Streicher

• 2.10.4-1 (sid)
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Pakken specutils implementerer grundklasser og redskaber for interaktion med astronomiske spektra i Python og Astropy-projektet. Det er lavet for senere sammenføjning med pakken astropy, men udvikles i øjeblikket uafhængigt.

• Debian Astronomy Team
• Ole Streicher

• 0.5.2-1 (buster)
• 1.14.0-1 (trixie)
• 0.2.2-1 (stretch)
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Theano er et Pythonbibliotek, som giver mulighed for at definere og evaluere matematiske udtryk, der involverer flerdimensionale tabeller effektivt. Det tilbyder et Numpy-lignende udtrykssprog på højt niveau for funktionel beskrivelse af beregning, arrangerer om på udtryk for hastighed og stabilitet og opretter maskininstruktioner for hurtig beregning. Valgfrit så kan accelererede beregninger udføret på grafikkortprocessorer.

Denne pakke indeholder Theano for Python 3.

• Theano Development Team: Theano: A Python framework for fast computation of mathematical expressions. (2016) (eprint)

• Debian Science Maintainers
• Rebecca N. Palmer

• 0.8.2-6 (stretch)
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Projektet yt forsøger at fremstille et integreret videnskabsmiljø for samarbejdende spørgsmål og svar indenfor astrofysiske spørgsmål. For dette vil den omslutte oprettelsen af oprindelige betingelser, kørslen af simuleringer og den detaljerede udforskning og visualisering af de resulterende data. Projektet vil også tilbyde en standardramme baseret på fysiske kvantiteters interne udvekslingsgrad mellem koder.

Denne pakke indeholder Python 3-versionen af pakken.

• M.J. Turk, B.D. Smith, J.S. Oishi, S. Skory, S.W. Skillman, T. Abel and M.L. Norman: yt: A Multi-code Analysis Toolkit for Astrophysical Simulation Data. ApJS 192:9 (2011) (eprint)

• Debian Astronomy Team
• Ole Streicher

• 4.1.4-2 (bookworm)
• 4.3.0-1 (sid)
• 3.2.3-2 (stretch)
• 4.3.0-1 (trixie)
• 3.5.0-1 (buster)
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Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily.

• Debian Python Team
• Roland Mas

• 3.4.0-0 (VCS)

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PySpecKit is a code framework designed to allow for analysis of spectroscopic data from a wide variety of astronomical instruments. Initial implementation focuses on optical and radio applications, e.g. gaussian and voigt profile fitting, baseline/continuum fitting, and equivalent width measurements.

• Debian Astro Team
• Vincent Prat

• 0.1.20-1 (VCS)

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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

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