Published August 8, 2016 | Version Submitted
Discussion Paper Open

The Next Generation of the Montage Image Mosaic Toolkit

Abstract

The scientific computing landscape has evolved dramatically in the past few years, with new schemes for organizing and storing data that reflect the growth in size and complexity of astronomical data sets. In response to this changing landscape, we are, over the next two years, deploying the next generation of the Montage toolkit ([ascl:1010.036]). The first release (October 2015) supports multi-dimensional data sets ("data cubes"), and insertion of XMP/AVM tags that allows images to "drop-in" to the WWT. The same release offers a beta-version of web-based interactive visualization of images; this includes wrappers for visualization in Python. Subsequent releases will support HEALPix (now standard in cosmic background experiments); incorporation of Montage into package managers (which enable automated management of software builds), and support for a library that will enable Montage to be called directly from Python. This next generation toolkit will inherit the architectural benefits of the current engine - component based tools, ANSI-C portability across Unix platforms and scalability for distributed processing. With the expanded functionality under development, Montage can be viewed not simply as a mosaic engine, but as a scalable, portable toolkit for managing, organizing and processing images.

Additional Information

Montage is funded by the National Science Foundation under Grant Number ACI-1440620. Processing on Amazon Web Services is underwritten by an Education Credits Grant awarded through the AWS SKA AstroCompute Program.

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Submitted - 1608.02649v1.pdf

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Additional details

Identifiers

Eprint ID
71997
DOI
10.48550/arXiv.1608.02649
Resolver ID
CaltechAUTHORS:20161114-125722235

Related works

Funding

NSF
ACI-1440620

Dates

Created
2016-11-15
Created from EPrint's datestamp field
Updated
2023-06-02
Created from EPrint's last_modified field

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