AAS 201st Meeting, January, 2003
Session 78. NOAO Survey Programs
Poster, Wednesday, January 8, 2003, 9:20am-6:30pm, Exhibit Hall AB

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[78.06] The SuperMacho+SuperNova Survey Database Design: Supporting Time Domain Analysis of GB to TB Astronomical Datasets

R. Hiriart, R.C. Smith (NOAO/CTIO), A. Becker, R. Covarrubias, G. Miknaitis, A. Rest, C. Stubbs (U. Washington), K. Cook, S. Nikolaev (LLNL), G. Prochter (UCSC)

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.

If you would like more information about this abstract, please follow the link to http://www.ctio.noao.edu/essence. This link was provided by the author. When you follow it, you will leave the Web site for this meeting; to return, you should use the Back comand on your browser.

The author(s) of this abstract have provided an email address for comments about the abstract: rhiriart@ctio.noao.edu

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