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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.
This package provides a Python CDF reader toolkit.
It provides the following functionality:
Ability to read variables and attributes from CDF files
Writes CDF version 3 files
Can convert between CDF time types (EPOCH/EPOCH16/TT2000) to other common time formats
Can convert CDF files into XArray Dataset objects and vice versa, attempting to maintain ISTP compliance
The GNU Astronomy Utilities (Gnuastro) is a suite of programs for the manipulation and analysis of astronomical data.
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.
This package provides a CIANNA - a general-purpose deep learning framework primarily developed and used for astronomical data analysis.
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.
This package provides a functionality to reproject astronomical images using various techniques via a uniform interface, where reprojection is the re-gridding of images from one world coordinate system to another e.g. changing the pixel resolution, orientation, coordinate system.
Halotools is a specialized python package for building and testing models of the galaxy-halo connection, and analyzing catalogs of dark matter halos. The core feature of Halotools is a modular platform for creating mock universes of galaxies starting from a catalog of dark matter halos obtained from a cosmological simulation.
This package provides HEALPix to the Astropy project.
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.
PHD2 is the enhanced,second generation version of the PHD guiding software from Stark Labs.
Baseband is a package for reading and writing VLBI and other radio baseband files, with the aim of simplifying and streamlining data conversion and standardization.
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.
WCSTools is a set of software utilities, written in C, which create, display and manipulate the world coordinate system of a FITS or IRAF image, using specific keywords in the image header which relate pixel position within the image to position on the sky. Auxiliary programs search star catalogs and manipulate images.
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 implements a funtionality for hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously. It allows to fit lenses with measured time delays, imaging information, kinematics constraints and standardizable magnifications with parameters described on the ensemble level.
APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.
Main features:
Make plots interactively or using scripts
Show grayscale, colorscale, and 3-color RGB images of FITS files
Generate co-aligned FITS cubes to make 3-color RGB images
Make plots from FITS files with arbitrary WCS (e.g. position-velocity)
Slice multi-dimensional FITS cubes
Overlay any number of contour sets
Overlay markers with fully customizable symbols
Plot customizable shapes like circles, ellipses, and rectangles
Overlay ds9 region files
Overlay coordinate grids
Show colorbars, scalebars, and beams
Customize the appearance of labels and ticks
Hide, show, and remove different contour and marker layers
Pan, zoom, and save any view as a full publication-quality plot
Save plots as EPS, PDF, PS, PNG, and SVG
qfits is a C library giving access to FITS file internals, both for reading and writing.
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.)
Regions is an Astropy package for region handling.
This package provides a Low-Frequency Array a large radio telescope Solution Tool.
Xplanet renders an image of a planet into an X window or file. All of the major planets and most satellites can be drawn and different map projections are also supported, including azimuthal, hemisphere, Lambert, Mercator, Mollweide, Peters, polyconic, orthographic and rectangular.
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 FITS tags.