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MissFITS is a program that performs basic maintenance and packaging tasks on FITS files:
add/edit FITS header keywords
split/join MEF files
unpack/pack FITS data-cubes
create/check/update FITS checksums, using R. Seaman's protocol
uraniborg is a CLI visualization tool and star chart "engine" for the Augmented Tycho + HYG (AT-HYG) star catalog. The AT-HYG catalog consists of stars from the Tycho-2 star catalog, augmented with additional distance and velocity information from Gaia DR3, as well as the "classic" / historical information from the HYG catalog.
uraniborg lets you view the sky from both the solar system and from any star in the AT-HYG catalog with a known distance (over 2.5 million stars currently).
Base directory containing custom config, data, charts and fonts may be adjusted with command line option -b, by default set to store path.
This package provides a Glue plugin which adds a 3D scatter plot viewer and a 3D volume rendering viewer.
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 includes plugins that provide ASDF serialization support for Astropy objects.
The FITS "World Coordinate System" (WCS) standard defines keywords and usage that provide for the description of astronomical coordinate systems in a FITS (Flexible Image Transport System) image header.
PyHDRL provides a Python 3 API (language bindings) for the ESO High Level Data Reduction Library (HDRL) using pybind11. It allows for using the ESO High Level Data Reduction Library in Python scripts, or directly in an interactive Python session, and thus allows for using HDRL algorithms in recipes implemented in Python as part of an instrument pipeline package.
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.
pyregion is a python module to parse ds9 region files. It also supports ciao region files. Features:
ds9 and ciao region files.
(physical, WCS) coordinate conversion to the image coordinate.
convert regions to matplotlib patches.
convert regions to spatial filter (i.e., generate mask images)
Tempo analyzes pulsar timing data. Pulse times of arrival (TOAs), pulsar model parameters, and coded instructions are read from one or more input files. The TOAs are fitted by a pulse timing model incorporating transformation to the solar-system barycenter, pulsar rotation and spin-down and, where necessary, one of several binary models. Program output includes parameter values and uncertainties, residual pulse arrival times, chi-squared statistics, and the covariance matrix of the model. In prediction mode,ephemerides of pulse phase behavior (in the form of polynomial expansions) are calculated from input timing models.
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 information about the Euclid space telescope and survey that is needed to produce simulations using GalSim. Some of the information provided is approximate, aimed towards fast simulations rather than full accuracy in representation of Euclid images. Places where the information is only approximate are flagged and described in the docstring, and we particularly highlight that the PSF is only approximate; for details, see the docstring of the getPSF() method. This library should enable generation of Euclid-like images of sufficient fidelity for preliminary exploration of object detection, photometry, deblending, and joint analysis with ground-based observatories. For applications requiring high precision such as weak lensing, the higher fidelity simulations available within the Euclid Consortium should be used.
The DKIST package aims to help you search, obtain and use DKIST data as part of your Python software.
The iers package provides access to the tables provided by the International Earth Rotation and Reference Systems service, in particular the Earth Orientation data allowing interpolation of published UT1-UTC and polar motion values for given times. The UT1-UTC values are used in Time and Dates (astropy.time) to provide UT1 values, and the polar motions are used in astropy.coordinates to determine Earth orientation for celestial-to-terrestrial coordinate transformations.
The FITS "World Coordinate System" (WCS) standard defines keywords and usage that provide for the description of astronomical coordinate systems in a FITS (Flexible Image Transport System) image header.
This package provides an Updated and improved version of the Sparse Lens Inversion Technique, developed within the framework of lens modelling software lenstronomy.
This packages provides a calibration software for COS.
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
The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters.
It provides the following main features:
A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild.
Easy extraction of cube sub-regions using physical coordinates.
Ability to easily create, combine, and apply masks to datasets.
Basic summary statistic methods like moments and array aggregates.
Designed to work with datasets too large to load into memory.
qfits is a C library giving access to FITS file internals, both for reading and writing.
SEP makes the core algorithms of sextractor 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. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.
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.
This simulation program lets you explore our universe in three dimensions. Celestia simulates many different types of celestial objects. From planets and moons to star clusters and galaxies, you can visit every object in the expandable database and view it from any point in space and time. The position and movement of solar system objects is calculated accurately in real time at any rate desired.