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The Next Generation of the Montage Image Mosaic Toolkit

Berriman, G. Bruce and Good, J. C. and Rusholme, B. and Robitaille, T. (2016) The Next Generation of the Montage Image Mosaic Toolkit. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20161114-125722235

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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.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://arxiv.org/abs/1608.02649arXivDiscussion Paper
ORCID:
AuthorORCID
Berriman, G. Bruce0000-0001-8388-534X
Rusholme, B.0000-0001-7648-4142
Robitaille, T.0000-0002-8642-1329
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.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NSFACI-1440620
Record Number:CaltechAUTHORS:20161114-125722235
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20161114-125722235
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:71997
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Nov 2016 23:26
Last Modified:28 Oct 2019 21:04

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