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A compression scheme for radio data in high performance computing

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arxiv 1503.00638 v3 pith:IKMVAZAH submitted 2015-03-02 astro-ph.IM

Kiyoshi Masui , Mandana Amiri , Liam Connor , Meiling Deng , Mateus Fandino , Carolin Höfer , Mark Halpern , David Hanna
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Adam D. Hincks Gary Hinshaw Juan Mena Parra Laura B. Newburgh J. Richard Shaw Keith Vanderlinde
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classification astro-ph.IM
keywords dataalgorithmcompressionhighlosslessperformanceprecisionradio
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We present a procedure for efficiently compressing astronomical radio data for high performance applications. Integrated, post-correlation data are first passed through a nearly lossless rounding step which compares the precision of the data to a generalized and calibration-independent form of the radiometer equation. This allows the precision of the data to be reduced in a way that has an insignificant impact on the data. The newly developed Bitshuffle lossless compression algorithm is subsequently applied. When the algorithm is used in conjunction with the HDF5 library and data format, data produced by the CHIME Pathfinder telescope is compressed to 28% of its original size and decompression throughputs in excess of 1 GB/s are obtained on a single core.

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    astro-ph.IM 2026-06 unverdicted novelty 7.0 of 10

    A calibration strategy using full-Jones corrections with an in-field unpolarised calibrator and visibility-based multi-epoch alignment enables sub-arcsecond polarimetric imaging with LOFAR at metre wavelengths.

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