Computer Science – Learning
Scientific paper
Dec 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993aas...18311801d&link_type=abstract
American Astronomical Society, 183rd AAS Meeting, #118.01; Bulletin of the American Astronomical Society, Vol. 25, p.1469
Computer Science
Learning
Scientific paper
Digitization of the Second Palomar Observatory Sky Survey (POSS-II) is now in progress at STScI. The resulting data set, the Palomar-STScI Digital Sky Survey (DPOSS), will consist of ~ 3 TB of pixel data, or ~ 1 GB/plate (1 arcsec pixels, 2 bytes/pixel, 23040(2) pixels/plate, ~ 900 survey fields in 3 colors). We have developed a software system to catalog, calibrate, classify, maintain, and analyse the plate scans and CCD calibration frames, Sky Image Cataloging and Analysis Tool (SKICAT). It incorporates novel AI software technologies, including machine learning, expert systems, machine-assisted discovery, etc., used for catalog generation and analysis, and should be useful for processing of massive digital sky surveys from other sources as well. We are also conducting an intensive program of CCD calibrations using Palomar 60-inch telescope; these CCD images are used both for magnitude zero-point calibrations, and as training and test data for star-galaxy object classifiers. The resulting Palomar Northern Sky Catalog (PNSC) is expected to contain at least 5 times 10(7) galaxies, and > 2 times 10(9) stars, in 3 colors (JFN plates, calibrated to the Gunn gri bands), down to the equivalent limiting magnitude of B =~ 22(m) , with the star-galaxy classification accurate to ~ 90 - 95% down to B =~ 21(m) . The catalog will be continuously upgraded as more calibration data become available. It will be made available to the community via computer networks and/or suitable media as soon as scientific validation and quality checks are completed. Analysis software (parts of SKICAT) will also be freely available. The first, partial releases may be available within a year or two from now, depending on the funding support. A vast variety of scientific projects will be possible with this data base, including the studies of large-scale structure, Galactic structure, automatic identifications of sources from other wavelengths (radio through x-ray), generation of objective catalogs of clusters and groups of galaxies, searches for quasars, variable or extreme-color objects, etc.
Djorgovski Stanislav
Fayyad U.
Weir Nicholas
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