Interactive Visual Exploration of Halos in Large Scale Cosmology Simulation

TL;DR

This paper presents an interactive visual analysis system for exploring the evolution of halos in large-scale cosmology simulations, enabling efficient identification and exploration of halos' histories through innovative visualization and data mining techniques.

Contribution

It introduces a novel structure-aware selection method and an integrated visualization system for interactive exploration of halos in cosmological simulations.

Findings

Efficient identification of halos within 3D regions using data mining.

Interactive exploration of halo evolution histories.

Reduction of visual clutter through 2D projection with MDS.

Abstract

Halo is one of the most important basic elements in cosmology simulation, which merges from small clumps to ever larger objects. The processes of the birth and merging of the halos play a fundamental role in studying the evolution of large scale cosmological structures. In this paper, a visual analysis system is developed to interactively identify and explore the evolution histories of thousands of halos. In this system, an intelligent structure-aware selection method in What You See Is What You Get manner is designed to efficiently define the interesting region in 3D space with 2D hand-drawn lasso input. Then the exact information of halos within this 3D region is identified by data mining in the merger tree files. To avoid visual clutter, all the halos are projected in 2D space with a MDS method. Through the linked view of 3D View and 2D graph, Users can interactively explore these halos, including the tracing path and evolution history tree.