The US National Science Foundation 4m Daniel K. Inouye Solar Telescope (DKIST) on Haleakala, Maui is the largest solar telescope in the world. DKIST’s superb resolution and polarimetric sensitivity will enable astronomers to explore the origins of solar magnetism, the mechanisms of coronal heating and drivers of flares and coronal mass ejections. DKIST operates as a coronagraph at infrared wavelengths, providing crucial measurements of the magnetic field in the corona. During its Operations Commissioning Phase, DKIST has already conducted a significant number of shared-risk observations for community researchers. The complex raw data are calibrated by the DKIST Data Center located in Boulder and distributed to the science community. We’ll present examples of science results and discuss lessons learned. Ongoing instrument development efforts include, an upgrade of the single-conjugate adaptive optics system to a multi-conjugate AO, the implementation of image slicers for the DL-NIRSP instrument and development of infrared detectors the DL- and CRYO-NIRSP instruments.
KEYWORDS: Data centers, Data storage, Calibration, Solar telescopes, Data acquisition, Data modeling, Calibration, Solar processes, Computing systems, Sun, Visible radiation
The Daniel K Inouye Solar Telescope, under construction in Maui, is designed to perform high-resolution spectropolarimetric visible and infrared measurements of the Sun, and will annually produce 3 PB of data, via 5x108 images and 2x1011 metadata elements requiring calibration, long-term data management, and open and free distribution. After briefly describing the DKIST and its instrument suite, we provide an overview of functions that the DKIST Data Center will provide, and focus on major challenges in its development. We conclude by discussing approach and mention some technologies that the Data Center team is using to develop a petascale computational and data storage resource to support this unique world-class DKIST facility and support its long-term scientific and operational goals.
KEYWORDS: Data centers, Calibration, Data centers, Solar telescopes, Observatories, Telescopes, Sun, Electroluminescent displays, Solar processes, Algorithm development, Space telescopes
The Daniel K. Inouye Solar Telescope (DKIST), currently under construction on Haleakalā, in Maui, Hawai'i will be the largest solar telescope in the world and will use adaptive optics to provide the highest resolution view of the Sun to date. It is expected that DKIST data will enable significant and transformative discoveries that will dramatically increase our understanding of the Sun and its effects on the Sun-Earth environment. As a result of this, it is a priority of the DKIST Data Center team at the National Solar Observatory (NSO) to be able to deliver timely and accurately calibrated data to the astronomical community for further analysis. This will require a process which allows the Data Center to develop calibration pipelines for all of the facility instruments, taking advantage of similarities between them, as well as similarities to current generation instruments. There will also be a challenges which are addressed in this article, such as the large volume of data expected, and the importance of supporting both manual and automated calibrations. This paper will detail the current calibration development strategies being used by the Data Center team at the National Solar Observatory to manage this calibration effort, so as to ensure delivery of high quality scientific data routinely to users.
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