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Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV

DOI: 10.1117/12.790276

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CRUSH: fast and scalable data reduction for imaging arrays

Journal article published in 2008 by Attila Kovacs ORCID
This paper is available in a repository.
This paper is available in a repository.

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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. ; Comment: 15 pages, 2 figures, published in Proc. SPIE 7020