Kari was born and raised on Kauai. Currently, she is a Computer Science and Academy of Creative Media double major at the University of Hawaii at Manoa. She loves to work both the creative and technical sides of her brain, and has an interest in data visualization and computer graphics. After she graduates, she hopes to pursue a master’s degree in Computer Science. In her free time, Kari likes to draw, animate, and create video games.
Home Island: Kauai
Institution when accepted: University of Hawai’i at Manoa
Akamai project: Designing a Web-based Visualization Tool for Daniel K. Inouye Solar Telescope Imaging Data Sets Project Site: Daniel K. Inouye Solar Telescope (DKIST) Mentor: Tom Schad, Co-mentors: David Harrington & Kevin Reardon
Project Abstract:
Remotely visualizing high resolution, image-based, data sets acquired by solar telescopes is challenging due to their multi-dimensionality and immense volume. Once fully operational, the Daniel K. Inouye Solar Telescope (DKIST) is estimated to produce 20 terabytes of imaging data per day. The DKIST Data Center needs a standard tool to visualize and share their imaging data sets with interested researchers and the public. With a goal of being able to visualize and share 100% of all relevant data collected from the telescope with minimal image degradation from compression, we have created a preliminary design of a visualization tool to handle that volume. This prototype is powered by the IIPImage server compiled with the Kakadu SDK to allow for JPEG2000 support. The visualization tool itself is built upon IIPMooviewer, an HTML5-based JavaScript high resolution image streaming and zooming client. Additional features were added to IIPMooviewer to optimize it for DKIST such as allowing for the manipulation of the following parameters: wavelength, polarization, and time. By adopting the JPEG2000 standard, our prototype allows for efficient transfer rates between the server and a remote user, while providing an extensible framework for the DKIST visualization tool interface.