2014/03/11 by Vyacheslav V. Kitaeff, Slava Kitaeff, Kitaeff, Vyacheslav V. +8
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #85-04 #Advanced Data Compression Techniques #Algorithms and Data Compression #Astronomy and Astrophysical Research #FOS: Physical sciences #Geophysics and Gravity Measurements #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Radio Astronomy Observations and Technology #astro-ph.IM #msc:85-04
paper · pdf · doi:10.48550/arxiv.1403.2801
14 pages, 12 figures, 3 tables, accepted by Astronomy and Computing
openalex publication_date 2014/03/11 · arxiv created 2014/07/01 · arxiv updated 2014/07/02 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
The new wide-field radio telescopes, such as: ASKAP, MWA, LOFAR, eVLA and SKA; will produce spectral-imaging data-cubes (SIDC) of unprecedented size -- in the order of hundreds of Petabytes. Servicing such data as images to the end-user in a traditional manner and formats is likely going to encounter significant performance fallbacks. We discuss the requirements for extremely large SIDCs, and in this light we analyse the applicability of the approach taken in the JPEG2000 (ISO/IEC 15444) standards. We argue the case for the adaptation of contemporary industry standards and technologies vs the modification of legacy astronomy standards or the development new from scratch.