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.

This package provides a Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.

Features:

• pulsar transmission functions

• inverse-noise-weighted transmission functions

• individual pulsar sensitivity curves

• pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density

• power-law integrated sensitivity curves

• sensitivity sky maps for pulsar timing arrays

This package provides source-only AOCommon collection of functionality that is reused in several astronomical applications, such as wsclean, aoflagger, DP3 and everybeam.

This package provides ASDF schemas for validating World Coordinate System (WCS) tags. Users should not need to install this directly; instead, install an implementation package such as gwcs.

GenetIC is a code to generate initial conditions for cosmological simulations, especially for zoom simulations of galaxies. It provides support for "genetic modifications" as described by e.g. Roth et al 2015, Rey & Pontzen 2018. It also supports 'splicing' as described by Cadiou et al 2021.

flatstar is a pure-Python tool for drawing stellar disks with scientifically-rigorous limb darkening. Each pixel has an accurate fractional intensity in relation to the total stellar intensity of 1.0. It is ideal for ray-tracing simulations of stars and planetary transits.

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.

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.

High-level Data Reduction Library provides instrument-independent, high-level scientific functions for ESO data reduction pipelines. It aims to concentrate cross-pipeline algorithms in a single place, verify and homogenize algorithms, implement error propagation, and is extensively tested. Pipeline developers and instrument consortia can use HDRL so that bug-fixes and improvements benefit all pipelines that use it.

This package includes the HDRL library (built on top of the ESO Common Pipeline Library, unit tests, and documentation. The library covers functionalities such as: overscan, bias, dark, flat, bad-pixel handling, Strehl, fringing, catalogue operations, efficiency and response computation, refraction and airmass, pattern noise, resampling, limiting magnitude, and barycentric correction.

Astronify is a Python package for sonifying astronomical data - turning telescope observations into sound.

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

This package provides tools for COS.

VELOCIraptor-Python is a python toolkit for reading VELOCIraptor outputs, with a particular focus on integration with the SWIFT cosmological simulation code.

It allows for automatic association of symbolic units (using unyt) with halo properties, extraction of individual haloes to a SWIFTsimIO dataset, and includes tools to help create both publication-ready and quick figures.

SPOT (Site Planning and Observation Tool) is a graphical tool for planning and conducting astronomical observations at a site.

The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.

This package provides build downsampled previews of Space Telescope products.

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.

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.

radiospectra provides support for some type of radio spectra in solar physics.

Python implementation of Parker wind models for planetary atmospheres. p-winds produces simplified, 1-D models of the upper atmosphere of a planet, and perform radiative transfer to calculate observable spectral signatures.

The scalable implementation of 1D models allows for atmospheric retrievals to calculate atmospheric escape rates and temperatures. In addition, the modular implementation allows for a smooth plugging-in of more complex descriptions to forward model their corresponding spectral signatures (e.g., self-consistent or 3D models).

This package implements functionality of Point Spread Function describing how the optical system spreads light from sources.

This package contains a helper functionality to test ROMAN and JWST.

This package provides general tools for astronomical time series in Python.

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.