Data multiplexing in radio interferometric calibration
| Autor: | Sarod Yatawatta, Léon V. E. Koopmans, Faruk Diblen, H. Spreeuw |
|---|---|
| Přispěvatelé: | Astronomy |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
FOS: Physical sciences 010103 numerical & computational mathematics 01 natural sciences Multiplexing 0103 physical sciences instrumentation: interferometers Methods: numerical Techniques: interferometric Astrophysics - Instrumentation and Methods for Astrophysics Computer Science - Distributed Parallel and Cluster Computing Astronomical interferometer Calibration Computer Science - Distributed 0101 mathematics instrumentation: interferometers Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Physics Data processing Methods: numerical Astrophysics::Instrumentation and Methods for Astrophysics Process (computing) Astronomy and Astrophysics Parallel Interferometry Computer Science - Distributed Parallel and Cluster Computing Computer engineering Space and Planetary Science Techniques: interferometric and Cluster Computing Distributed Parallel and Cluster Computing (cs.DC) Astrophysics - Instrumentation and Methods for Astrophysics Energy (signal processing) Radio astronomy |
| Zdroj: | Monthly Notices of the Royal Astronomical Society, 475(1), 708-715. Oxford University Press |
| ISSN: | 0035-8711 |
| Popis: | New and upcoming radio interferometers will produce unprecedented amounts of data that demand extremely powerful computers for processing. This is a limiting factor due to the large computational power and energy costs involved. Such limitations restrict several key data processing steps in radio interferometry. One such step is calibration where systematic errors in the data are determined and corrected. Accurate calibration is an essential component in reaching many scientific goals in radio astronomy and the use of consensus optimization that exploits the continuity of systematic errors across frequency significantly improves calibration accuracy. In order to reach full consensus, data at all frequencies need to be calibrated simultaneously. In the SKA regime, this can become intractable if the available compute agents do not have the resources to process data from all frequency channels simultaneously. In this paper, we propose a multiplexing scheme that is based on the alternating direction method of multipliers (ADMM) with cyclic updates. With this scheme, it is possible to simultaneously calibrate the full dataset using far fewer compute agents than the number of frequencies at which data are available. We give simulation results to show the feasibility of the proposed multiplexing scheme in simultaneously calibrating a full dataset when a limited number of compute agents are available. MNRAS Accepted 2017 November 28. Received 2017 November 28; in original form 2017 July 06 |
| Databáze: | OpenAIRE |
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