6 citations · 6 across the 5 of their papers we have counts for
7 papers
Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Aashish Panta, Hugo Lee, Giorgio Scorzelli +2
Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are…
Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting
Ishrat Jahan Eliza, Xuan Huang, Aashish Panta +4
Scientists face significant visualization challenges as time-varying datasets grow in speed and volume, often requiring specialized infrastructure and expertise to handle massive d…
Large Data Acquisition and Analytics at Synchrotron Radiation Facilities
Aashish Panta, Giorgio Scorzelli, Amy A. Gooch +11
Synchrotron facilities like the Cornell High Energy Synchrotron Source (CHESS) generate massive data volumes from complex beamline experiments, but face challenges such as limited…
Climate Data for Power Systems Applications: Lessons in Reusing Wildfire Smoke Data for Solar PV Studies
Arleth Salinas, Irtaza Sohail, Valerio Pascucci +8
Data reuse is using data for a purpose distinct from its original intent. As data sharing becomes more prevalent in science, enabling effective data reuse is increasingly important…
The Making of a Community Dark Matter Dataset with the National Science Data Fabric
Amy Roberts, Jack Marquez, Kin Hong NG +9
Dark matter is believed to constitute approximately 85 percent of the universes matter, yet its fundamental nature remains elusive. Direct detection experiments, though globally de…
Scalable Climate Data Analysis: Balancing Petascale Fidelity and Computational Cost
Aashish Panta, Amy Gooch, Giorgio Scorzelli +2
The growing resolution and volume of climate data from remote sensing and simulations pose significant storage, processing, and computational challenges. Traditional compression or…
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats
Aashish Panta, Xuan Huang, Nina McCurdy +7
Scientists generate petabytes of data daily to help uncover environmental trends or behaviors that are hard to predict. For example, understanding climate simulations based on the…