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Proceedings Paper

CRUSH: fast and scalable data reduction for imaging arrays
Author(s): Attila Kovács
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Paper Abstract

CRUSH is an approach to data analysis under noise interference, developed specifically for submillimeter imaging arrays. The method uses an iterated sequence of statistical estimators to separate source and noise signals. Its filtering properties are well-characterized and easily adjusted to preference. Implementations are well-suited for parallel processing and its computing requirements scale linearly with data size - rendering it an attractive approach for reducing the data volumes from future large arrays.

Paper Details

Date Published: 19 July 2008
PDF: 15 pages
Proc. SPIE 7020, Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV, 70201S (19 July 2008); doi: 10.1117/12.790276
Show Author Affiliations
Attila Kovács, Max-Planck-Institut für Radioastronomie (Germany)

Published in SPIE Proceedings Vol. 7020:
Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV
William D. Duncan; Wayne S. Holland; Stafford Withington; Jonas Zmuidzinas, Editor(s)

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