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This package includes an extension for the Python library asdf to add support for reading and writing chunked Zarr arrays, a file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification.
This package provides data content for Celestia.
Scientific Data Base
Texture maps
3D Models
PyEphem provides an ephem Python package for performing high-precision astronomy computations.
The name ephem is short for the word ephemeris, which is the traditional term for a table giving the position of a planet, asteroid, or comet for a series of dates.
This package provides a Python module to various STScI image array manipulation functions.
ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.
It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.
Astropy is a single core package for Astronomy in Python. It contains much of the core functionality and some common tools needed for performing astronomy and astrophysics.
sbpy is a package for small-body planetary astronomy. It is meant to supplement functionality provided by astropy with functions and methods that are frequently used in the context of planetary astronomy with a clear focus on asteroids and comets. Features:
observation planning tools tailored to moving objects
photometry models for resolved and unresolved observations
wrappers and tools for astrometry and orbit fitting
spectroscopy analysis tools and models for reflected solar light and emission from gas
cometary gas and dust coma simulation and analysis tools
asteroid thermal models for flux estimation and size/albedo estimation
image enhancement tools for comet comae and PSF subtraction tools
lightcurve and shape analysis tools
access tools for various databases for orbital and physical data, as well as ephemerides services
AOFlagger is a tool that can find and remove radio-frequency interference (RFI) in radio astronomical observations. It can make use of Lua scripts to make flagging strategies flexible, and the tools are applicable to a wide set of telescopes.
healpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and builds with the HEALPix C++ library.
TANGOS is a tool to build a database (along the lines of Eagle or MultiDark) for cosmological and zoom simulations.
Features:
designed to store and manage results from custom analysis code
provides web and Python interfaces
science-focussed queries across entire merger trees, without requiring any knowledge of SQL
manages the process of populating the database with science data, including auto-parallelising custom analysis
customization with multiple Python modules such as
pynbodyorytto process raw simulation datasuports file-based database SQLite, server-based MySQL and PostgreSQL
skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).
The CPL comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit to develop astronomical data-reduction tasks (known as recipes). These data-reduction tasks can then be executed manually by a user, or can be triggered in an automated data-reduction framework (known as pipelines) which are used at ESO to monitor the health status of VLT instruments, for quick-look data processing at the observatory, and the creation of data products available from the ESO archive facility.
Glue is a python project to link visualizations of scientific datasets across many files.
CFITSIO provides simple high-level routines for reading and writing Flexible Image Transport System files that insulate the programmer from the internal complexities of the FITS format. CFITSIO also provides many advanced features for manipulating and filtering the information in FITS files.
This package provides Python implementation of ASDF - a proposed next generation interchange format for scientific data. ASDF aims to exist in the same middle ground that made FITS so successful, by being a hybrid text and binary format: containing human editable metadata for interchange, and raw binary data that is fast to load and use. Unlike FITS, the metadata is highly structured and is designed up-front for extensibility.
This package provides a python library to calculate IACT IRF and Sensitivities.
This package provides a history of astronomy library. Current Features:
define standard positional numeral systems with standard arithmetics (BasedReal)
set your own precision contexts and algorithms on arithmetical operations (PrecisionContext)
keep track of all operations
build or import ancient astronomical tables
perform arithmetical and statistical operations
support for BasedReal values
define new calendar types
date conversions
collection of mathematical models used for all kinds of geocentric astronomical tables
Astropy is a single core package for Astronomy in Python. It contains much of the core functionality and some common tools needed for performing astronomy and astrophysics.
This package provides a comprehensive framework for Massive Black Hole binary population synthesis. The framework includes modules to perform population synthesis using a variety of methodologies from semi-analytic models, to cosmological hydrodynamic simulations, and even observationally-derived galaxy merger catalogs.
This package contains FIT and CSV files required for WebbPSF installation and distributed separately from it.
ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.
It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.
lenstronomy is a multi-purpose software package to model strong gravitational lenses. lenstronomy finds application for time-delay cosmography and measuring the expansion rate of the Universe, for quantifying lensing substructure to infer dark matter properties, morphological quantification of galaxies, quasar-host galaxy decomposition and much more.
Regions is an Astropy package for region handling.
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 National Astronomical Observatory of Japan (NAOJ), the Space Telescope Science Institute (STScI), and other contributing entities.
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 we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.