Computer Science – Performance
Scientific paper
Dec 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003aas...20311229n&link_type=abstract
American Astronomical Society Meeting 203, #112.29; Bulletin of the American Astronomical Society, Vol. 35, p.1389
Computer Science
Performance
Scientific paper
We present the image reduction pipeline for object-based photometry (OBP) for the SuperMACHO project, to complement the SuperMACHO pipeline developed for difference image analysis (DIA). As opposed to the DIA pipeline which tracks variable sources only, the OBP pipeline monitors every detectable object over the entire course of the survey. As a consequence, OBP pipeline has to meet more demanding performance specifications, both in terms of CPU cycles and storage requirements. Several results from applying OBP pipeline to SuperMACHO data are presented, including comparison to MACHO photometry, comparison of light curves of transients to those from DIA pipeline, and color-magnitude diagrams for selected fields.
Becker Andrew
Cook Kem H.
Covarrubias Ricardo
Hiriart Rafael
Miceli Antonino
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