activity
20242026
most citedWeb-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

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…

cs.HC2026

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…

hep-ex2025

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…

physics.ao-ph2025

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…

cs.HC2024★ 6 cited

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…