A GASKAP-HI imaging workflow was successfully ported to DUG Technology's commercial supercomputer, producing four pilot-survey image cubes at an estimated A$5,250 per field in 11 elapsed days.
Data Challenges for Next-generation Radio Telescopes
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Radio-astronomy is about to embark on a new way of doing science. The revolution that is about to take place is not due to the enormous sensitivity of the Square Kilometre Array, which is still a decade away, but due to its pathfinders, which are pioneering new ways of doing radio-astronomy. These new ways include multi-pixel phased-array feeds, the goal of producing science-ready images from a real-time pipeline processor, and from the vast amounts of survey data that will be available in the public domain soon after observing. Here I review the data challenges that need to be addressed if we are to reap all the science that potentially resides in SKA Pathfinder data. Some challenges are obvious, such as petabytes of data storage, and some are less obvious, such as the techniques we have yet to develop to perform cross- identifications on millions of galaxies.
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astro-ph.IM 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
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Processing of GASKAP-HI pilot survey data using a commercial supercomputer
A GASKAP-HI imaging workflow was successfully ported to DUG Technology's commercial supercomputer, producing four pilot-survey image cubes at an estimated A$5,250 per field in 11 elapsed days.