Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking

  title={Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking},
  author={Joseph C. Jacob and Daniel S. Katz and G. Bruce Berriman and John Good and Anastasia C. Laity and Ewa Deelman and Carl Kesselman and Gurmeet Singh and Mei-Hui Su and Thomas. A. Prince and Roy Williams},
Montage is a portable software toolkit to construct custom, science-grade mosaics that preserve the astrometry and photometry of astronomical sources. The user specifies the dataset, wavelength, sky location, mosaic size, coordinate system, projection, and spatial sampling. Montage supports massive astronomical datasets that may be stored in distributed archives. Montage can be run on both single- and multi-processor computers, including clusters and grids. Standard grid tools are used to… 

Collaborative Astronomical Image Mosaics

This chapter describes how astronomical imaging survey data have become a vital part of modern astronomy, how these data are archived and then served to the astronomical community through on-line data access portals, and introduces Montage as a tool for this task.

The Application of the Montage Image Mosaic Engine to the Visualization of Astronomical Images

The Montage toolkit contains functionality originally developed to support the creation and management of mosaics, but which also offers value to visualization: a background rectification algorithm that reveals the faint structure in an image; and tools for creating cutout and downsampled versions of large images.

Gaspra - software for astronomical image processing in high-performance computing clusters

Gaspra is a software for astronomical image processing in high-performance computing clusters, which use shared and distributed memory systems, designed to batch process large sets of astronomical images, allowing researchers to create scientific workflows to obtain new knowledge from these astronomy imagery data sets.

Sustaining the Montage image mosaic engine since 2002

Montage is highly scalable and is in wide use within the IT community to develop advanced, fault-tolerant cyber-infrastructure, such as job schedulers for grids, workflow orchestration, and restructuring techniques for processing complex workflows and pipelines.

Kira: Processing Astronomy Imagery Using Big Data Technology

This work implements Kira, a flexible and distributed astronomy image processing toolkit, and its Source Extractor application, and examines the programming flexibility, dataflow richness, scheduling capacity and performance of Apache Spark running on the Amazon EC2 cloud.

Large-Scale Overlays and Trends: Visually Mining, Panning and Zoomingthe Observable Universe

A web-based computing infrastructure to assist the visual integration, mining and interactive navigation of large-scale astronomy observations and introduces interactive trend images-compact visual representations for identifying outlier objects and for studying trends within large collections of spatial objects of a given class.

Science gateway technologies for the astrophysics community

The VisIVO Science Gateway is wrapped around a WS‐PGRADE/grid User Support Environment portal integrating services for processing and visualizing large‐scale multidimensional astrophysical data sets on distributed computing infrastructures.

Astronomy in the Cloud: Using MapReduce for Image Co-Addition

The experience of implementing a scalable image-processing pipeline for the SDSS imaging database using Hadoop is reported on, and a number of optimizations to the basic approach are described and reported, to report experimental results comparing their performance.

Pegasus, a workflow management system for science automation

Panning and zooming the observable universe with prefix-matching indices and pixel-based overlays

A web-based, client-server computing infrastructure to assist the interactive navigation of large-scale astronomy observations is introduced, allowing cross-spectrum analysis of astronomy observations and attains interactive rendering framerates.




This chapter discusses some grid experiences in solving the problem of generating large astronomical image mosaics by composing multiple small images, from the team that has developed Montage, a suite of software tools that was modified to execute in the grid environment.

Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand

The design of a grid-enabled version of Montage, an astronomical image mosaic service, suitable for large scale processing of the sky, is described, including its application to science product generation by Spitzer Legacy Program teams and large-scale, all-sky image processing projects.

A comparison of two methods for building astronomical image mosaics on a grid

  • D. KatzJ. Jacob T. Prince
  • Computer Science
    2005 International Conference on Parallel Processing Workshops (ICPPW'05)
  • 2005
The run time for each method for running an application composed of a set of modules on a grid is examined and the portions that differ between the two methods are compared.

Atlasmaker: A Grid-based Implementation of the Hyperatlas

The Atlasmaker project is using Grid technology, in combination with NVO interoperability, to create new knowledge resources in astronomy to create all-sky atlases from the 2MASS, SDSS, and DPOSS surveys for joint object detection.

Practical resource management for grid-based visual exploration

A new advance-reservation system for graphics resources; and an application of existing grid technology to create general-purpose active storage systems for grid computing environments are described.

Architecture for access to a compute-intensive image mosaic service in the NVO

The paper describes the development of a framework that will support two key aspects of the National Virtual Observatory: a compute engine that will deliver custom image mosaics, and a "request management system," based on an e-business applications server, for job processing, including monitoring, failover and status reporting.

Grid-Based Galaxy Morphology Analysis for the National Virtual Observatory

This paper focuses on the key enabling technology components, particularly Chimera and Pegasus which are used to create and manage the computational workflow that must be present to deal with the challenging application requirements.

Data management and transfer in high-performance computational grid environments

Pegasus: Mapping Scientific Workflows onto the Grid

The Pegasus system that can map complex workflows onto the Grid and takes an abstract description of a workflow and finds the appropriate data and Grid resources to execute the workflow is described.

GriPhyN and LIGO, building a virtual data Grid for gravitational wave scientists

  • E. DeelmanC. Kesselman S. Koranda
  • Physics, Computer Science
    Proceedings 11th IEEE International Symposium on High Performance Distributed Computing
  • 2002
The initial design and prototype of a virtual data Grid for LIGO, which is being built to observe the gravitational waves predicted by general relativity, is described.