A new gravitational N-body simulation algorithm for investigation of cosmological chaotic advection

TL;DR

This paper introduces COLATUS, a GPU-accelerated N-body simulation algorithm designed to analyze gravitational chaotic advection in cosmological structures, aiding the study of dark matter hypotheses.

Contribution

The paper presents a novel GPU-based N-body simulation algorithm, COLATUS, specifically tailored for studying gravitational chaotic advection in cosmology.

Findings

First robust results from COLATUS simulations.

Demonstration of GPU acceleration benefits.

Potential insights into dark matter effects.

Abstract

Recently alternative approaches in cosmology seeks to explain the nature of dark matter as a direct result of the non-linear spacetime curvature due to different types of deformation potentials. In this context, a key test for this hypothesis is to examine the effects of deformation on the evolution of large scales structures. An important requirement for the fine analysis of this pure gravitational signature (without dark matter elements) is to characterize the position of a galaxy during its trajectory to the gravitational collapse of super clusters at low redshifts. In this context, each element in an gravitational N-body simulation behaves as a tracer of collapse governed by the process known as chaotic advection (or lagrangian turbulence). In order to develop a detailed study of this new approach we develop the COsmic LAgrangian TUrbulence Simulator (COLATUS) to perform gravitational N-body simulations based on Compute Unified Device Architecture (CUDA) for graphics processing units (GPUs). In this paper we report the first robust results obtained from COLATUS.