DKIST visible broadband imager data processing pipeline

Andrew Beard; Bruce Cowan; Andrew Ferayorni

doi:10.1117/12.2057122

18 July 2014 DKIST visible broadband imager data processing pipeline

Andrew Beard, Bruce Cowan, Andrew Ferayorni

Proceedings Volume 9152, Software and Cyberinfrastructure for Astronomy III; 91521J (2014) https://doi.org/10.1117/12.2057122
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

Abstract

The Daniel K. Inouye Solar Telescope (DKIST) Data Handling System (DHS) provides the technical framework and building blocks for developing on-summit instrument quality assurance and data reduction pipelines. The DKIST Visible Broadband Imager (VBI) is a first light instrument that alone will create two data streams with a bandwidth of 960 MB/s each. The high data rate and data volume of the VBI require near-real time processing capability for quality assurance and data reduction, and will be performed on-summit using Graphics Processing Unit (GPU) technology. The VBI data processing pipeline (DPP) is the first designed and developed using the DKIST DHS components, and therefore provides insight into the strengths and weaknesses of the framework. In this paper we lay out the design of the VBI DPP, examine how the underlying DKIST DHS components are utilized, and discuss how integration of the DHS framework with GPUs was accomplished. We present our results of the VBI DPP alpha release implementation of the calibration, frame selection reduction, and quality assurance display processing nodes.

Citation Download Citation

Andrew Beard, Bruce Cowan, and Andrew Ferayorni "DKIST visible broadband imager data processing pipeline", Proc. SPIE 9152, Software and Cyberinfrastructure for Astronomy III, 91521J (18 July 2014); https://doi.org/10.1117/12.2057122

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