CRUSH: fast and scalable data reduction for imaging arrays

Attila Kovács

doi:10.1117/12.790276

19 July 2008 CRUSH: fast and scalable data reduction for imaging arrays

Attila Kovács

Author Affiliations +

Proceedings Volume 7020, Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV; 70201S (2008) https://doi.org/10.1117/12.790276
Event: SPIE Astronomical Telescopes + Instrumentation, 2008, Marseille, France

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.

Citation Download Citation

Attila Kovács "CRUSH: fast and scalable data reduction for imaging arrays", Proc. SPIE 7020, Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV, 70201S (19 July 2008); https://doi.org/10.1117/12.790276

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