Abstract
Astronomical photographic data bases can have sizes ranging from a few thousand to many billions of bytes. Much of the data processing can be regarded as a filtering process which reduces these large input sets to very much smaller subsets. We give as an example the problem of detecting a complete set of astronomical objects of a specific type (QSOs), and describe in detail the algorithms, data structures and processing techniques used in the SRC Automatic Plate Measuring machine at Cambridge. This system completely analyses 4 billion bytes of data per day.
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© 1980 Springer-Verlag Berlin Heidelberg
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Hooley, A., Kibblewhite, E.J., Bridgeland, M.T., Horne, D.A. (1980). Aspects of handling data from astronomical images. In: Blaser, A. (eds) Data Base Techniques for Pictorial Applications. Lecture Notes in Computer Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-09763-5_21
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DOI: https://doi.org/10.1007/3-540-09763-5_21
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