Scale-Aware Navigation of Astronomical Survey Imagery Data on High Resolution Immersive Displays

📅 2026-03-18
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This work addresses the challenge of exploring multi-scale structures in astronomical survey imagery, where conventional desktop tools often fail to maintain contextual coherence between global and local views. To overcome the limitations of discrete viewport navigation, the authors propose a scale-aware navigation framework tailored for high-resolution immersive display environments. By integrating a curved immersive display system with a design-driven, continuous interaction paradigm, the framework enables contextually coherent exploration across multiple spatial scales. Implemented and evaluated with data from the Vera C. Rubin Observatory and Galactic surveys, the approach effectively supports scientists in conducting exploratory analysis within room-scale immersive settings.

Technology Category

Application Category

📝 Abstract
Upcoming astronomical surveys produce imagery that spans many orders of magnitude in spatial scale, requiring scientists to reason fluidly between global structure and local detail. Data from the Vera C. Rubin Observatory exemplifies this challenge, as traditional desktop-based workflows often rely on discrete views or static cutouts that fragment context during exploration. This paper presents a design-oriented framework for scale-aware navigation of astronomical survey imagery in high-resolution immersive display environments. We illustrate these principles through representative usage scenarios using Vera Rubin Observatory and Milky Way survey imagery deployed in room-scale immersive environments, including tiled high-resolution displays and curved immersive systems. Our goal is to contribute design insights that inform the development of immersive interaction paradigms for exploratory analysis of extreme-scale scientific imagery.
Problem

Research questions and friction points this paper is trying to address.

scale-aware navigation
astronomical survey imagery
immersive displays
extreme-scale data
context preservation
Innovation

Methods, ideas, or system contributions that make the work stand out.

scale-aware navigation
immersive displays
astronomical survey imagery
extreme-scale visualization
interactive exploration
🔎 Similar Papers
No similar papers found.
A
Ava Nederlander
Stony Brook University
Zainab Aamir
Zainab Aamir
PhD Candidate, Stony Brook University
Augmented RealityHuman-Computer InteractionImmersive Facilities
A
Arie E. Kaufman
Stony Brook University