This package provides ASDF schemas for validating transform tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

stsci.imagestats is a package designed to compute various statistics on image data using sigma-clipping iterations. It is designed to replicate core behaviour of the IRAF's imstatistics task.

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

SPLASH is visualisation tool for Smoothed Particle Hydrodynamics (SPH) simulations in one, two and three dimensions, developed mainly for astrophysics. It uses a command-line menu but data can be manipulated interactively in the plotting window.

This package supports the creation of a combined header for a FITS file based on the contents of the headers of a set of input FITS images. A rules file defines what keywords will be present in the combined output header as well as how the output value will be determined from the set of values from all the input image headers.

This package provides a plugin for SiriL, see the installation guide on the project's Wiki.

SiriLic (SiriL's Interactif Companion) is a software for preparing acquisition files (raw, Biases, Flat and Dark) for processing with SiriL software.

Features:

• structuring the SiriL working directory into sub-folders

• convert Raw, Biases , Dark or Flat files into SiriL sequence

• automatically generate the SiriL script according to the files present and the options

• batch process multiple channel and sessions

Generalized World Coordinate System (GWCS) is an Astropy affiliated package providing tools for managing the World Coordinate System of astronomical data.

GWCS takes a general approach to the problem of expressing transformations between pixel and world coordinates. It supports a data model which includes the entire transformation pipeline from input coordinates (detector by default) to world coordinates.

Cobaya, and Spanish for Guinea Pig) is a framework for sampling and statistical modelling: it allows you to explore an arbitrary prior or posterior using a range of Monte Carlo samplers (including the advanced MCMC sampler from CosmoMC, and the advanced nested sampler PolyChord). The results of the sampling can be analysed with GetDist. It supports MPI parallelization (and very soon HPC containerization with Docker/Shifter and Singularity).

This package provides a flexible toolbox for observation planning and scheduling. When complete, the goal is to be easy for Python beginners and new observers to to pick up, but powerful enough for observatories preparing nightly and long-term schedules.

Features:

• calculate rise/set/meridian transit times, alt/az positions for targets at observatories anywhere on Earth

• built-in plotting convenience functions for standard observation planning plots (airmass, parallactic angle, sky maps)

• determining observability of sets of targets given an arbitrary set of constraints (i.e., altitude, airmass, moon separation/illumination, etc.)

This package implements a reader for CORSIKA binary output files using NumPy.

This package provides a librari for spherical harmonic transforms (SHTs), which evolved from the libpsht library, addressing several of its shortcomings, such as adding MPI support for distributed memory systems and SHTs of fields with arbitrary spin, but also supporting new developments in CPU instruction sets like the Advanced Vector Extensions (AVX) or fused multiply-accumulate (FMA) instructions. The library is implemented in portable C99 and provides an interface that can be easily accessed from other programming languages such as C++, Fortran, Python etc. Generally, libsharp's performance is at least on par with that of its predecessor; however, significant improvements were made to the algorithms for scalar SHTs, which are roughly twice as fast when using the same CPU capabilities.

Supporting paper is available at https://arxiv.org/abs/1303.4945

pyHalo renders full mass distributions for substructure lensing simulations with gravitational lensing software package lenstronomy. The main purpose of the code is to quickly render full populations of dark matter subhalos and line of sight halos for gravitational lensing simulations. It also transltes halo properties (mass, concentration, redshift, etc) into angular units for lensing computations with lenstronomy.

Gammapy is an Python package for gamma-ray astronomy built on Numpy, Scipy and Astropy. It is used as core library for the Science Analysis tools of the Cherenkov Telescope Array (CTA), recommended by the H.E.S.S. collaboration to be used for Science publications, and is already widely used in the analysis of existing gamma-ray instruments, such as MAGIC VERITAS and HAWC.

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

This package implements functionality for decomposition of Hydrogen content of simulation particles into neutral/ionized and atomic/molecular. Implementations of Blitz & Rosolowsky (2006) and Rahmati et al (2013).

The mpl_animators package provides a set of classes which allow the easy construction of interactive matplotlib widget based animations.

The glue-astronomy plugin for glue provides a collection of astronomy-specific functionality

This package provides a collection of Space Telescope Science Institute utility functions.

This package provides ASDF schemas for validating coordinates tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

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.

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

This package implements functionality for hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously. It allows fitting lenses with measured time delays, imaging information, kinematics constraints and standardizable magnifications with parameters described on the ensemble level.

PetroFit is a package for calculating Petrosian properties, such as radii and concentration indices, as well as fitting galaxy light profiles. In particular, PetroFit includes tools for performing accurate photometry, segmentations, Petrosian profiling, and Sérsic fitting.

This package provides an way to compute dendrograms of observed or simulated Astronomical data in Python.