JWST Data Analysis Software Packages

JWST post-pipeline data analysis tools are individual packages included within AstroConda to assist observers in viewing and analyzing their JWST data. The tools are generally written in Python and work with Astropy.

See also: JWST Post-Pipeline Data Analysis

Words in bold italics are buttons 
or parameters in GUI tools. Bold 
style represents GUI menus/
panels & data software packages.

Table 1 provides links to further information about the tools. 




Table 1.  Software tools information

Package

Purpose

GitHub RepositoryDocumentation

Astropy

A community python library for astronomy

GitHub

ReadTheDocs

glue

A Python library to explore relationships within and among related datasets

GitHub

ReadTheDocs

ginga

A toolkit designed for building viewers for scientific image data in Python

GitHub

ReadTheDocs

photutils

Tools for detecting and performing photometry of astronomical sources

GitHub

ReadTheDocs

specutilsTools for performing spectroscopic analysis of astronomical sourcesGitHubReadTheDocs

astroimtools

Convenience tools for working with astronomical images

GitHub

ReadTheDocs

imexam

Tool for simple image examination, and plotting, with similar functionality to IRAF's imexamine

GitHub

ReadTheDocs

jdaviz

An interactive analysis tool, including Specviz, Cubeviz, and Mosviz:

  • Specviz is a 1D spectra analysis tool with similar functionality to IRAF's splot
  • Cubeviz is an analysis tool for 3D spectroscopy
  • Mosviz is an analysis and visualization tool for multi-object spectroscopy
GitHubReadTheDocs

asdf

Advanced Scientific Data Format is a next generation interchange format for scientific data 

GitHub

ReadTheDocs

gwcs

Generalized World Coordinate System tools for dealing with image and spectral geometries

GitHub

ReadTheDocs

synphot

Synthetic photometry toolkit for building model spectra and estimating count-rates

GitHub

ReadTheDocs




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