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.
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.
The Daniel K. Inouye Solar Telescope is a 4-meter-class all-reflecting telescope under construction on Haleakalā
mountain on the island of Maui, Hawai’i. When fully operational in 2019 it will be the world's largest solar telescope
with wavelength coverage of 380 nm to 28 microns and advanced Adaptive Optics enabling the highest spatial resolution
measurements of the solar atmosphere yet achieved. We review the first-generation DKIST instrument designs, select
critical science program topics, and the operations and data handling and processing strategies to accomplish them.
We present an overview of the conceptual design of the data handling unit of the ECS, the Control System for the
European Solar Telescope (EST). We will focus on describing the critical requirements for this unit resulting from the
overall design of the telescope, together with its architecture and the results of the feasibility analysis carried out to date.
We introduce the concepts for the control and data handling systems of the European Solar Telescope (EST),
the main functional and technical requirements for the definition of these systems, and the outcomes from the
trade-off analysis to date. Concerning the telescope control, EST will have performance requirements similar to
those of current medium-sized night-time telescopes. On the other hand, the science goals of EST require the
simultaneous operation of three instruments and of a large number of detectors. This leads to a projected data
flux that will be technologically challenging and exceeds that of most other astronomical projects. We give an
overview of the reference design of the control and data handling systems for the EST to date, focusing on the
more critical and innovative aspects resulting from the overall design of the telescope.