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)

This package provides an astronomical image processing tool - SIRIL. It is specially tailored for noise reduction and improving the signal/noise ratio of an image from multiple captures, as required in astronomy. SIRIL can align automatically or manually, stack and enhance pictures from various file formats, even image sequence files (films and SER files). It works well with limited system resources, like in embedded platforms, but is also very fast when run on more powerful computers and provides conversion to FITS from a large number of image formats.

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 schema definitions for the Data Formats For Gamma-Ray Astronomy.

astrodata is a package for managing astronomical data through a uniform interface. It is designed to be used with the Astropy package. astrodata was created for use as part of the DRAGONS data reduction pipeline, but it is now implemented to be useful for any astronomical data reduction or analysis project.

Unlike managing files using the astropy.io.fits package alone, astrodata is designed to be extendible to any data format, and to parse, respond to, and store metadata in a consistent, intentional way. This makes it especially useful for managing data from multiple instruments, telescopes, and data generation utilities.

The package statmorph implements functionality of calculating non-parametric morphological diagnostics of galaxy images (e.g., Gini-M_20 and CAS statistics), as well as fitting 2D Sérsic profiles.

Event reconstruction framework for Imaging Atmospheric Cherenkov Telescopes developed for CTAO.

SWarp is a program that resamples and co-adds together FITS images using any arbitrary astrometric projection defined in the WCS standard.

This package provides a Low-Frequency Array a large radio telescope Solution Tool.

wiimatch is a package that provides core computational algorithms for optimal matching of weighted N-dimensional image intensity data using (multivariate) polynomials.

This repository contains programs which can be used to compute properties of halos in spherical apertures in SWIFT snapshots. The resulting output halo catalogues can be read using the swiftsimio Python package.

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.

Radio Beam is a simple toolkit for reading beam information from FITS headers and manipulating beams. Some example applications include:

• Convolution and deconvolution

• Unit conversion (Jy to/from K)

• Handle sets of beams for spectral cubes with varying resolution between channels

• Find the smallest common beam from a set of beams

• Add the beam shape to a matplotlib plot

UNSIO provides an API for performing input and output operations on different kinds of n-body file formats (nemo, Gadget binaries 1 and 2, Gadget hdf5, Ramses).

ImPPG performs Lucy-Richardson deconvolution, unsharp masking, brightness normalization and tone curve adjustment. It can also apply previously specified processing settings to multiple images. All operations are performed using 32-bit floating-point arithmetic.

Supported input formats: FITS, BMP, JPEG, PNG, TIFF (most of bit depths and compression methods), TGA and more. Images are processed in grayscale and can be saved as: BMP 8-bit; PNG 8-bit; TIFF 8-bit, 16-bit, 32-bit floating-point (no compression, LZW- or ZIP-compressed), FITS 8-bit, 16-bit, 32-bit floating-point.

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

This package provides a range of colormaps designed for scientific use with Matplotlib. It includes perceptually uniform sequential colormaps such as abre, dusk, kepl, and octarine, as well as monochromatic sequential colormaps like blue, green, and red, and others (algae, pastel, and xray).

INDI (Instrument-Neutral Device Interface) is a distributed XML-based control protocol designed to operate astronomical instrumentation. INDI is small, flexible, easy to parse, scalable, and stateless. It supports common DCS functions such as remote control, data acquisition, monitoring, and a lot more.

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.

The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.

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

CRDS is a package used for working with astronomical reference files for the HST and JWST telescopes. CRDS is useful for performing various operations on reference files or reference file assignment rules. CRDS is used to assign, check, and compare reference files and rules, and also to predict those datasets which should potentially be reprocessed due to changes in reference files or assignment rules. CRDS has versioned rules which define the assignment of references for each type and instrument configuration. CRDS has web sites corresponding to each project http://hst-crds.stsci.edu or https://jwst-crds.stsci.edu/ which record information about reference files and provide related services.

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.

SOXS is a software suite which can create simulated X-ray observations of astrophysical sources with almost any existing or planned X-ray observatory. The goal of SOXS is to provide a comprehensive set of tools to design source models and convolve them with simulated models of X-ray instruments. This package was originally developed to support the Lynx X-ray Observatory mission concept, but has evolved to support other missions as well.