Analyzing and Visualizing Cosmological Simulations with ParaView

TL;DR

This paper introduces new analysis features in ParaView, enabling efficient, interactive analysis of large cosmological simulations with billions to trillions of particles, including halo finding and data visualization tools.

Contribution

The paper presents novel analysis tools integrated into ParaView, such as particle readers and a halo finder, optimized for large-scale cosmological simulations.

Findings

Enhanced analysis speed and efficiency for large simulations

Integration of halo finding capabilities within ParaView

Facilitates interactive and qualitative analysis of cosmological data

Abstract

The advent of large cosmological sky surveys - ushering in the era of precision cosmology - has been accompanied by ever larger cosmological simulations. The analysis of these simulations, which currently encompass tens of billions of particles and up to trillion particles in the near future, is often as daunting as carrying out the simulations in the first place. Therefore, the development of very efficient analysis tools combining qualitative and quantitative capabilities is a matter of some urgency. In this paper we introduce new analysis features implemented within ParaView, a parallel, open-source visualization toolkit, to analyze large N-body simulations. The new features include particle readers and a very efficient halo finder which identifies friends-of-friends halos and determines common halo properties. In combination with many other functionalities already existing within ParaView, such as histogram routines or interfaces to Python, this enhanced version enables fast, interactive, and convenient analyses of large cosmological simulations. In addition, development paths are available for future extensions.