This package provides data content for Celestia.

• Scientific Data Base

• Texture maps

• 3D Models

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.

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.

skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).

CFITSIO provides simple high-level routines for reading and writing Flexible Image Transport System files that insulate the programmer from the internal complexities of the FITS format. CFITSIO also provides many advanced features for manipulating and filtering the information in FITS files.

This package provides a Python library for reading from and writing to FITS files using the CFITSIO library. Among other things, it can

• read and write image, binary, and ascii table extensions;

• read arbitrary subsets of tables in a lazy manner;

• query the rows and columns of a table;

• read and write header keywords;

• read and write Gzip files.

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.

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

This package provides an image processing toolbox for Solar Physics.

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

The ccdproc package provides many of the necessary tools for processing of CCD images built on a framework to provide error propagation and bad pixel tracking throughout the reduction process.

CCfits is an object oriented interface to the cfitsio library. It is designed to make the capabilities of cfitsio available to programmers working in C++. It is written in ANSI C++ and implemented using the C++ Standard Library with namespaces, exception handling, and member template functions.

This package provides a Python definition and validation schemata for FITS files.

This package provides astronomical interstellar dust extinction curves implemented using the astropy.modeling framework.

This package provides a set of tools for the modelling of magnetic field data. It is a SunPy affiliated package and is built on top of sunpy and astropy.

This package provides a Python Module to Interact with NASA's Astrophysics Data System.

This package implements a functionality to produce map based simulations for the Simons Observatory or other CMB experiments. It creates simulated maps in HEALPix and CAR pixelization based on:

• foreground models included in PySM

• custom foregrounds models from the so_pysm_models package

• precomputed Cosmic Microwave Background simulations

• noise simulations based on expected performance and simulated hitmaps

• effect of gaussian beam convolution

ASTROALIGN is a python module that will try to align two stellar astronomical images, especially when there is no WCS information available.

The Python Satellite Data Analysis Toolkit (pysat) provides a simple and flexible interface for robust data analysis from beginning to end - including downloading, loading, cleaning, managing, processing, and analyzing data. Pysat's plug-in design allows analysis support for any data, including user provided data sets.

This package provides tools to read and analyze data from the IRIS solar-observing satellite.

Sunwait calculates sunrise or sunset times with civil, nautical, astronomical and custom twilights. The sun's position is calculated using time, and position - latitude and longitude should be specified on the command line.

Features:

• calculates sunrise and sunset for given coordinates

• can wait for sunrise/sunset, or return DAY or NIGHT codes

• works with Windows Task Scheduler (or cron)

• supports custom twilight angles

• used to automate domestic lighting with Arduino transmitter and radio controlled sockets

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.

CFITSIO provides simple high-level routines for reading and writing Flexible Image Transport System files that insulate the programmer from the internal complexities of the FITS format. CFITSIO also provides many advanced features for manipulating and filtering the information in FITS files.

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