Computer Science – Performance
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...201.7806h&link_type=abstract
American Astronomical Society, 201st AAS Meeting, #78.06; Bulletin of the American Astronomical Society, Vol. 34, p.1232
Computer Science
Performance
Scientific paper
Two large scale survey projects to discover transient events have recently been initiated at NOAO's Cerro Tololo Inter-American Observatory (CTIO). The SuperMacho project (see Stubbs et al 2002 poster) seeks to detect and follow microlensing events toward the Large Magellanic Cloud and the ESSENCE SuperNova project (see Garnavich et al. 2002 poster) seeks to detect and follow intermediate to high-redshift supernovae. Together, these projects (SM+SN) present challenging data management needs both for the large size of the datasets and the kind of analysis to performed on the data. The data reduction pipeline is described elsewhere at this conference (see Miceli et al. 2002 poster). The database requirements of the SM+SN projects can be divided in three broad categories: support for the survey operations, storage and analysis of the data that comes from the image reduction and transient detection pipeline, and communication of the results for the project users and the astronomical community. Current relational database technologies are being applied to address these requirements. The open source database PostgreSQL has been selected for the implementation of the system. This work presents the design of the database, along with some performance considerations that are necessary for the fast retrieval of information, thus allowing the development of data mining applications to take full advantage of the database.
Becker Andrew
Cook Kelly
Covarrubias Ricardo
Hiriart Rafael
Miknaitis Gajus
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