883 citations · 1.1k across the 20 of their papers we have counts for
21 papers
Processing All-Sky Images At Scale On The Amazon Cloud: A HiPS Example
G. Bruce Berriman, John C. Good
We report here on a project that has developed a practical approach to processing all-sky image collections on cloud platforms, using as an exemplar application the creation of thr…
Astronomical Image Processing at Scale With Pegasus and Montage
G. Bruce Berriman, John C. Good, Ewa Deelman +2
Image processing at scale is a powerful tool for creating new data sets and integrating them with existing data sets and performing analysis and quality assurance investigations. W…
Creating High Quality All-Sky Visualizations of Astronomy Image Data Sets: HiPS and Montage
G. Bruce Berriman, John C. Good, Vandana Desai +1
We describe a case study to use the Montage image mosaic engine to create maps of the ALLWISE image data set in the Hierarchical Progressive Survey (HiPS) sky-tesselation scheme. O…
Image Processing in Python With Montage
John Good, G. Bruce Berriman
The Montage image mosaic engine has found wide applicability in astronomy research, integration into processing environments, and is an examplar application for the development of…
A Study of the Efficiency of Spatial Indexing Methods Applied to Large Astronomical Databases
G. B. Berriman, J. C. Good, B. Shiao +1
We report the results of a study to compare the performance of two common database indexing methods, HTM and HEALPix, on Solaris and Windows database servers installed with Postgre…
Sustaining the Montage Image Mosaic Engine Since 2002
G. Bruce Berriman, John C. Good
This paper describes how we have sustained the Montage image mosaic engine (http://montage.ipac.caltech.edu) first released in 2002, to support the ever-growing scale and complexit…