2010/11/24 by Daniel S. Katz, Katz, Daniel S., G. Bruce Berriman +3
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Data Storage Technologies #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Scientific Computing and Data Management #astro-ph.IM #cs.HC
paper · pdf · doi:10.48550/arxiv.1011.5294
16 pages, 3 figures. To be published in "Reshaping Research and Development using Web 2.0-based technologies." Mark Baker, ed. Nova Science Publishers, Inc.(2011)
arxiv created 2010/11/24 · openalex publication_date 2010/11/24 · arxiv updated 2015/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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. The Virtual Observatory, now under development, aims to make all these data accessible through a uniform set of interfaces. This chapter also describes the scientific need for one common image processing task, that of composing individual images into large scale mosaics and introduces Montage as a tool for this task. Montage, as distributed, can be used in four ways: as a single thread/process on a single CPU, in parallel using MPI to distribute similar tasks across a parallel computer, in parallel using grid tools (Pegasus/DAGMan) to distributed tasks across a grid, or in parallel using a script-driven approach (Swift). An on-request web based Montage service is available for users who do not need to build a local version. We also introduce some work on a new scripted version of Montage, which offers ease of customization for users. Then, we discuss various ideas where Web 2.0 technologies can help the Montage community.