A case study in adaptable and reusable infrastructure at the Keck Observatory Archive: VO interfaces, moving targets, and more
A case study in adaptable and reusable infrastructure at the Keck Observatory Archive: VO interfaces, moving targets, and more
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凯克天文台档案馆适应性和可重复使用基础设施的案例研究:VO 接口、移动目标等
DOI:
10.1117/12.2231719
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发表时间:
2016
期刊:
影响因子:
--
通讯作者:
Mader, Jeffrey A.
中科院分区:
文献类型:
--
作者:
Chiozzi, Gianluca;Guzman, Juan C.;Berriman, G. Bruce;Cohen, Richard W.;Colson, Andrew;Gelino, Christopher R.;Good, John C.;Kong, Mihseh;Laity, Anastasia C.;Mader, Jeffrey A.
The Keck Observatory Archive (KOA)(https://koa. ipac. caltech. edu) curates all observations acquired at the WM Keck Observatory (WMKO) since it began operations in 1994, including data from eight active instruments and two decommissioned instruments. The archive is a collaboration between WMKO and the NASA Exoplanet Science Institute (NExScI). Since its inception in 2004, the science information system used at KOA has adopted an architectural approach that emphasizes software re-use and adaptability. This paper describes how KOA is currently leveraging and extending open source software components to develop new services and to support delivery of a complete set of instrument metadata, which will enable more sophisticated and extensive queries than currently possible.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 (such as mosaics of subsets of the 4.7 million images of the SDSS DR9 release). 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.
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DOI:
10.1504/ijcse.2009.026999
发表时间:
2009-07
期刊:
ArXiv
影响因子:
--
作者:
J. Jacob;D. Katz;G. Berriman;J. Good;A. Laity;E. Deelman;C. Kesselman;Gurmeet Singh;Mei-Hui Su;T. Prince;Roy Williams
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J. Jacob;D. Katz;G. Berriman;J. Good;A. Laity;E. Deelman;C. Kesselman;Gurmeet Singh;Mei-Hui Su;T. Prince;Roy Williams
DOI:
--
发表时间:
1977
期刊:
影响因子:
--
作者:
DianeC . P. Smith;Beatrice Yormark
通讯作者:
Beatrice Yormark
影响因子:
6.5
作者:
G. Berriman;C. Gelino;R. Goodrich;J. Holt;M. Kong;A. Laity;J. Mader;M. Swain;H. Tran
通讯作者:
H. Tran
DOI:
--
发表时间:
2014
期刊:
Astronomical Telescopes and Instrumentation
影响因子:
--
作者:
H. Tran;J. Holt;R. Goodrich;J. Mader;M. Swain;A. Laity;M. Kong;C. Gelino;G. Berriman
通讯作者:
G. Berriman