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HEALPix of a sphere produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. This package provides the dynamic library for the C language implementation of HEALPix.
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)
SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.
It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.
Generalized World Coordinate System (GWCS) is an Astropy affiliated package providing tools for managing the World Coordinate System of astronomical data.
GWCS takes a general approach to the problem of expressing transformations between pixel and world coordinates. It supports a data model which includes the entire transformation pipeline from input coordinates (detector by default) to world coordinates.
This package provides a similar in functionality to the astropy.coordinates module, but with more of an emphasis on efficiency. Some functions are more than 100 times faster than the corresponding functionality in astropy. On the other hand, the API is somewhat more restrictive than the API used by astropy, so the appropriate module to use will depend on your needs.
radiospectra provides support for some type of radio spectra in solar physics.
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.
Python read-only implementation of the EventIO file format.
This package provides a collection of Space Telescope Science Institute utility functions.
Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.
This package provides a a simple program to predict the levels of background emission in JWST observations, for use in proposal planning.
It accesses a precompiled background cache prepared by Space Telescope Science Institute. The background cache is hosted by the Mikulski Archive for Space Telescopes (MAST), so you need internet access to run the tool with the remote cache. It is possible to download the full background cache to your local machine.
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.
This package provides shared libraries to interface Pascal program with standard astronomy libraries:
libpasgetdss.so: Interface with GetDSS to work with DSS images.libpasplan404.so: Interface with Plan404 to compute planets position.libpaswcs.so: Interface with libwcs to work with FITS WCS.libpasspice.so: To work with NAIF/SPICE kernel.
This package provides a Python package of Roman Datamodels for the calibration pipelines started with the JWST calibration pipelines. The goal for the JWST pipelines was motivated primarily by the need to support FITS data files, specifically with isolating the details of where metadata and data were located in the FITS file from the representation of the same items within the Python code. That is not a concern for Roman since FITS format data files will not be used by the Roman calibration pipelines.
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.
Astral is a Python module that calculates times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevation, solar azimuth, rahukaalam, and the phases of the moon.
The mpl_animators package provides a set of classes which allow the easy construction of interactive matplotlib widget based animations.
The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.
RAD is package which defines schemas for the Nancy Grace Roman Space Telescope shared attributes for processing and archive. These schemas are schemas for the ASDF file file format, which are used by ASDF to serialize and deserialize data for the Nancy Grace Roman Space Telescope.
Glue is a python project to link visualizations of scientific datasets across many files.
Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.
romanisim is a Galsim-based simulator of imaging data from the WFI on the Nancy Grace Roman Space Telescope (pronounced roman-eye-sim, stylized Roman I-Sim). It uses Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the calibration information needed to produce realistic WFI images.
This package provides ASDF schemas for validating FITS tags.
Astrocut provides tools for making cutouts from sets of astronomical images with shared footprints. It is under active development.
Three main areas of functionality are included:
solving the specific problem of creating image cutouts from sectors of Transiting Exoplanet Survey Satellite full-frame images
general fits file cutouts including from single images and sets of images with the shared WCS/pixel scale
cutout post-processing functionality, including centering cutouts along a path (for moving targets) and combining cutouts