|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'500'096
Articles rated: 2609
19 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
A case study in adaptable and reusable infrastructure at the Keck Observatory Archive: VO interfaces, moving targets, and more | | G. Bruce Berriman
; Richard W. Cohen
; Andrew Colson
; Christopher R. Gelino
; John C. Good
; Mihseh Kong
; Anastasia C. Laity
; Jeffrey A. Mader
; Melanie A. Swain
; Hien D. Tran
; Shin-Ywan Wang
; | | Date: |
9 Aug 2016 | | Abstract: | This paper describes how the Keck Observatory Archive (KOA) is extending open
source software components to develop new services. In August 2015, KOA
deployed a program interface to discover public data from all instruments
equipped with an imaging mode. The interface complies with version 2 of the
Simple Imaging Access Protocol (SIAP), under development by the International
Virtual Observatory Alliance (IVOA), which defines a standard mechanism for
discovering images through spatial queries. The heart of the KOA service is an
R-tree-based, database-indexing mechanism prototyped by the Virtual
Astronomical Observatory (VAO) and further developed by the Montage Image
Mosaic project, designed to provide fast access to large imaging data sets as a
first step in creating wide-area image mosaics. The KOA service uses the
results of the spatial R-tree search to create an SQLite data database for
further relational filtering. The service uses a JSON configuration file to
describe the association between instrument parameters and the service query
parameters, and to make it applicable beyond the Keck instruments.
The R-tree program was itself extended to support temporal (in addition to
spatial) indexing, in response to requests from the planetary science community
for a search engine to discover observations of Solar System objects. With this
3D-indexing scheme, the service performs very fast time and spatial matches
between the target ephemerides, obtained from the JPL SPICE service. Our
experiments indicate these matches can be more than 100 times faster than when
separating temporal and spatial searches. Images of the tracks of the moving
targets, overlaid with the image footprints, are computed with a new
command-line visualization tool, mViewer, released with the Montage
distribution. The service is currently in test and will be released in Fall
2016. | | Source: | arXiv, 1608.2642 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER