This package provides a replacement for IRAF STSDAS SYNPHOT and ASTROLIB PYSYNPHOT, utilizing Astropy covering instrument specific portions of the old packages for HST.

IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data. IRAF was written by the NOAO in Tucson, Arizona. This package provides a community successor of the last IRAF release from 2013.

SWIFTGalaxy is an astrophysics module that extends SWIFTSimIO tailored to analyses of particles belonging to individual galaxies simulated with SWIFT. It inherits from and extends the functionality of the SWIFTDataset. It understands the content of halo catalogues (supported: Velociraptor, Caesar, SOAP) and therefore which particles belong to a galaxy or other group of particles, and its integrated properties. The particles occupy a coordinate frame that is enforced to be consistent, such that particles loaded on-the-fly will match e.g. rotations and translations of particles already in memory. Intuitive masking of particle datasets is also enabled. Utilities to make working in cylindrical and spherical coordinate systems more convenient are also provided. Finally, tools to iterate efficiently over multiple galaxies are also provided.

This packages provides a calibration software for COS.

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.

The COde-independent Organized LEns STandard (COOLEST) defines a set of conventions to be shared across the strong lensing community, in order to consistently store, share and improve lens modeling analyses. In short, this project provides tools to manipulate lens models as a single, human-readable JSON template file alongside Python routines for visualizing and comparing lens models possibly obtained from different modeling codes.

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

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.

Software for Calibrating AstroMetry and Photometry is a software that computes astrometric projection parameters from source catalogues derived from FITS images. The computed solution is expressed according to the WCS standard. The main features of SCAMP are:

• compatibility with SExtractor FITS or Multi-Extension FITS catalogue format in input

• generation of WCS-compliant and SWarp-compatible FITS image headers in output

• automatic grouping of catalogues on the sky

• selectable on-line astrometric reference catalogue

• automatic determination of scale, position angle, flipping and coordinate shift using fast pattern-matching

• various astrometric calibration modes for single detectors and detector arrays

• combined astrometric solutions for multi-channel/instrument surveys

• highly configurable astrometric distortion polynomials

• correction for differential chromatic refraction

• proper motion measurements

• multi-threaded code that takes advantage of multiple processors

• VOTable-compliant XML output of meta-data

• XSLT filter sheet provided for convenient access to metadata from a regular web browser

Libnova is a general purpose, double precision, Celestial Mechanics, Astrometry and Astrodynamics library.

SPISEA is an python package that generates single-age, single-metallicity populations (i.e. star clusters). It gives the user control over many parameters:

• cluster characteristics (age, metallicity, mass, distance)

• total extinction, differential extinction, and extinction law

• stellar evolution and atmosphere models

• stellar multiplicity and Initial Mass Function

• initial-Final Mass Relation

• photometric filters

The ERFA C library contains key algorithms for astronomy, and is based on the SOFA library published by the IAU.

This package provides a EventSource plugin for ctapipe, needed to read the calibrated data of the MAGIC telescope system.

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.

Python read-only implementation of the EventIO file format.

PyIRI is a Python implementation of the International Reference Ionosphere model. It provides fast, global, and altitude‑dependent evaluation of ionospheric parameters using a new spherical harmonics (SH) architecture. The model supports multiple coordinate systems and efficiently evaluates all grid points and time frames simultaneously.

GLNEMO2 is an interactive 3D visualization program which displays particles positions of the different components (gas, stars, disk, dark matter halo, bulge) of an N-body snapshot. It is a tool for running N-body simulations from isolated galaxies to cosmological simulations. It has a graphical user interface (based on QT 5.X API), uses a fast 3D engine (OPenGL and GLSL), and is generic with the possibility to load different kinds of input files.

The casacore package contains the core libraries of the old AIPS++/CASA (Common Astronomy Software Application) package. This split was made to get a better separation of core libraries and applications. CASA is now built on top of Casacore.

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.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.

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.

Stackistry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many (possibly thousands) low quality ones (blurred, deformed, noisy). The resulting image stack typically requires post-processing, including sharpening (e.g. via deconvolution). Such post-processing is not performed by Stackistry.

SpacePy is a package for Python, targeted at the space sciences, that aims to make basic data analysis, modeling and visualization easier. It builds on the capabilities of NumPy and MatPlotLib packages.

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.