5 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…
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…
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…