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This package provides a replacement for IRAF STSDAS SYNPHOT and ASTROLIB PYSYNPHOT, utilizing Astropy covering instrument specific portions of the old packages for HST.
This package provides base classes and command-line tools for implementing calibration pipeline software.
This package provides tools for COS.
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.
Orbital is a high level orbital mechanics package for Python.
SExtractor is a program that builds a catalogue of objects from an astronomical image. Although it is particularly oriented towards reduction of large scale galaxy-survey data, it can perform reasonably well on moderately crowded star fields.
Hubble Space Telescope image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.
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
Python Tools for HST ACS (Advanced Camera for Surveys) Data.
pixell is a library for loading, manipulating and analyzing maps stored in rectangular pixelization. It is mainly intended for use with maps of the sky (e.g. CMB intensity and polarization maps, stacks of 21 cm intensity maps, binned galaxy positions or shear) in cylindrical projection, but its core functionality is more general.
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.
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
This package provides a Square Kilometre Array (SKA) Science Data Processor (SDP) function library for radio astronomy.
specutils is a Python package for representing, loading, manipulating,and analyzing astronomical spectroscopic data. The generic data containers and accompanying modules provide a toolbox that the astronomical community can use to build more domain-specific packages. For more details about the underlying principles, see APE13.
LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.
In EyE an artificial neural network connected to pixels of a moving window (retina) is trained to associate these input stimuli to the corresponding response in one or several output image(s). The resulting filter can be loaded in SExtractor to operate complex, wildly non-linear filters on astronomical images. Typical applications of EyE include adaptive filtering, feature detection and cosmetic corrections.
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.
CZML3 is a Python library to write CZML, a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium.
This package includes plugins that provide ASDF serialization support for Astropy objects.
GalSim is software for simulating images of astronomical objects (stars, galaxies) in a variety of ways.
POPPY is a Python package that simulates physical optical propagation including diffraction. It implements a flexible framework for modeling Fraunhofer and Fresnel diffraction and point spread function formation, particularly in the context of astronomical telescopes.
POPPY was developed as part of a simulation package for the James Webb Space Telescope, but is more broadly applicable to many kinds of imaging simulations. It is not, however, a substitute for high fidelity optical design software such as Zemax or Code V, but rather is intended as a lightweight alternative for cases for which diffractive rather than geometric optics is the topic of interest, and which require portability between platforms or ease of scripting.
Xplanet renders an image of a planet into an X window or file. All of the major planets and most satellites can be drawn and different map projections are also supported, including azimuthal, hemisphere, Lambert, Mercator, Mollweide, Peters, polyconic, orthographic and rectangular.
This package implements functionality for simulating X-ray emission from astrophysical sources.
X-rays probe the high-energy universe, from hot galaxy clusters to compact objects such as neutron stars and black holes and many interesting sources in between. pyXSIM makes it possible to generate synthetic X-ray observations of these sources from a wide variety of models, whether from grid-based simulation codes such as FLASH, Enzo, and Athena, to particle-based codes such as Gadget and AREPO, and even from datasets that have been created 'by hand', such as from NumPy arrays. pyXSIM also provides facilities for manipulating the synthetic observations it produces in various ways, as well as ways to export the simulated X-ray events to other software packages to simulate the end products of specific X-ray observatories.
This package implements a functionality of AI-powered automated pipeline for lens modeling, with lenstronomy as the modeling engine.
Features:
AI-automated forward modeling for large samples of galaxy-scale lenses
flexible: supports both fully automated and semi-automated (with user tweaks) modes
multi-band lens modeling made simple
supports both galaxy–galaxy and galaxy–quasar systems
effortless syncing between local machines and High-Performance Computing Cluster