Computer Science – Performance
Scientific paper
Dec 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aas...19713709l&link_type=abstract
American Astronomical Society, 197th AAS Meeting, #137.09; Bulletin of the American Astronomical Society, Vol. 33, p.726
Computer Science
Performance
Scientific paper
Imaging radio astronomy arrays have traditionally consisted of a modest number of large steerable antennas, which generate limited data rates and correlation burdens, manageable using electronics technology of the 1970's and 1980's. A new class of arrays based instead on a large number of much smaller antennas is now being designed which take advantage of current and anticipated digital data processing power. These arrays will be more sensitive, flexible, and versatile than their predecessors, but differ sufficiently from existing designs that past experience is of limited utility in predicting their performance. In order to explore the possibilities offered by arrays which utilize massive digital processing capacity, we have begun a series of performance simulations, both for the planned Square Kilometer Array (SKA), and for the Low Frequency Array (LOFAR). In addition, we have investigated opportunities for new data processing algorithms which take advantage of the array design freedom offered by large numbers of stations. A critical issue is data calibration, and we examine the possible use of massive data redundancy to improve both calibration accuracy and data integrity, in search of improved image fidelity.
Cappallo Roger J.
Doeleman Sheperd S.
Law Daniel
Lonsdale Colin J.
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