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astroMontage 0.1

Wrapper around Montage toolkit for displaying astronomical image/overlay data.

Image Mosaics for Astronomers

Montage is a toolkit for assembling Flexible Image Transport System (FITS) images into custom mosaics.

Montage has been tested by the Montage team on Linux platforms with mosaics built from the 2-Micron All Sky Survey (2MASS) Atlas (full-resolution) images. It has been built, tested and the output products validated by Montage customers on Unix platforms, including Linux, Solaris, Mac OSX, and IBM AIX. It has been used to generate mosaics from data released by the Spitzer Space Telescope, the Hubble Space Telescope, the Infrared Astronomical Satellite (IRAS), the Midcourse Space Experiment (MSX), the Sloan Digital Sky Survey (SDSS), and ground-based telescopes such as the National Optical Astronomy Observatories (NOAO) 4-m telescope and the William Herschel 4-m telescope.

Montage has also been used to test workflow frameworks on supercomputers and cloud systems.

Under a new grant, Montage is being extended to deal with astronomical data cubes and packaged for use on cloud computing resources. The current fileset has been uploaded here in preparation for that work and consists of the original release with some update and additions that have been made over the years but not officially released.

This Python library wraps the Montage mViewer module (plus a few other Montage support tools) for use in viewing astronomical image data and overlays. FITS images or datacube planes can be displayed, overlaid with catalogs, image outlines, coordinate grids, etc. There is support for interactive zooming and feedback and the result can be exported to PNG/JPEG files for distribution and publishing.

The Montage package (including the Python wrapper) can be downloaded from GitHub:

https://github.com/Caltech-IPAC/Montage
 
File Type Py Version Uploaded on Size
astroMontage-0.1.tar.gz (md5) Source 2015-06-12 18KB