@proceedings {1974, title = {DKIST visible broadband imager data processing pipeline}, volume = {9152}, year = {2014}, month = {08/2014}, pages = {91521J}, publisher = {Proc SPIE}, 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.

}, keywords = {DHS, VBI}, doi = {10.1117/12.2057122}, url = {http://spie.org/Publications/Proceedings/Paper/10.1117/12.2057122}, author = {Andrew Beard and Bruce Cowan and Andrew Ferayorni} } @proceedings {1456, title = {Technologies for High Speed Data Handling in the ATST}, volume = {442}, year = {2011}, month = {07/2011}, pages = {297}, publisher = {ASP Conf Proc}, abstract = {

The Advanced Technology Solar Telescope (ATST) has some very demanding data handling requirements. Sixteen high speed camera lines are available, each capable of transmitting data at up to 1 gigabyte per second. Camera lines must be fully isolated from each other in order to cope with the high data volume, yet be defined dynamically on a per-experiment basis, providing the ability to route data through various real-time data processing/reduction and quality assurance nodes as needed. This paper discusses the investigation and technologies chosen to deliver on those requirements.

}, keywords = {DHS}, url = {http://adsabs.harvard.edu/abs/2011ASPC..442..297C}, author = {Bruce Cowan and Stephen B. Wampler} } @proceedings {1474, title = {The ATST visible broadband imager: a case study for real-time image reconstruction and optimal data handling}, volume = {7735}, year = {2010}, month = {07/2010}, pages = {773521}, publisher = {Proc SPIE}, abstract = {

At future telescopes, adaptive optics systems will play a role beyond the correction of Earth\&$\#$39;s atmosphere. These systems are capable of delivering information that is useful for instrumentation, e.g. if reconstruction algorithms are employed to increase the spatial resolution of the scientific data. For the 4m aperture Advanced Technology Solar Telescope (ATST), a new generation of state-of-the-art instrumentation is developed that will deliver observations of the solar surface at unsurpassed high spatial resolution. The planned Visual Broadband Imager (VBI) is one of those instruments. It will be able to record images at an extremely high rate and compute reconstructed images close to the telescope\&$\#$39;s theoretical diffraction limit using a speckle interferometry algorithm in near real-time. This algorithm has been refined to take data delivered by the adaptive optics system into account during reconstruction. The acquisition and reconstruction process requires the use of a high-speed data handling infrastructure to retrieve the necessary data from both adaptive optics system and instrument cameras. We present the current design of this infrastructure for the ATST together with a feasibility analysis of the underlying algorithms.

}, keywords = {AO, VBI}, doi = {10.1117/12.857321}, url = {http://adsabs.harvard.edu/abs/2010SPIE.7735E..69W}, author = {Friedrich W{\"o}ger and Han Uitenbroek and Alexandra Tritschler and William R. McBride and David F. Elmore and Thomas R. Rimmele and Bruce Cowan and Stephen B. Wampler and Bret D. Goodrich} }