Calibration development strategies for the Daniel K. Inouye Solar Telescope (DKIST) data center

Abstract

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.