The Complexity and Information Content of Simulated Universes
arXiv:2007.05995 · doi:10.1007/978-3-030-65867-0_2
Abstract
The emergence of a complex, large-scale organisation of cosmic matter into the Cosmic Web is a beautiful exemplification of how complexity can be produced by simple initial conditions and simple physical laws. In the epoch of Big Data in astrophysics, connecting the stunning variety of multi-messenger observations to the complex interplay of fundamental physical processes is an open challenge. In this contribution, I discuss a few relevant applications of Information Theory to the task of objectively measuring the complexity of modern numerical simulations of the Universe. When applied to cosmological simulations, complexity analysis makes it possible to measure the total information necessary to model the cosmic web. It also allow us to monitor which physical processes are mostly responsible for the emergence of complex dynamical behaviour across cosmic epochs and environments, and possibly to improve mesh refinement strategies in the future.
26 pages, 10 figures. Preprint version of chapter accepted for "Intelligent Astrophysics", published in the book series https://www.springer.com/series/10624 "Emergence, Complexity and Computation (Editors I. Zelinka, M. Brescia & D. Baron)
References in corpus (15)
- Properties of galaxies reproduced by a hydrodynamic simulation
- Diffuse Radio Emission from Galaxy Clusters
- Detecting shock waves in cosmological smoothed particle hydrodynamics simulations
- Shock Waves in Eulerian Cosmological Simulations: Main Properties and Acceleration of Cosmic Rays
- Cosmological Shock Waves in the Large Scale Structure of the Universe: Non-gravitational Effects
- Pressure of the hot gas in simulations of galaxy clusters
- Hydrodynamical adaptive mesh refinement simulations of turbulent flows - II. Cosmological simulations of galaxy clusters
- Dynamical evolution of magnetic fields in the intracluster medium
- Testing cosmic-ray acceleration with radio relics: a high-resolution study using MHD and tracers
- Morphological classification of radio galaxies: Capsule Networks versus Convolutional Neural Networks
- Thermodynamical properties of the ICM from hydrodynamical simulations
- Detecting shocked intergalactic gas with X-ray and radio observations
- Deep Learning Assisted Data Inspection for Radio Astronomy
- On the complexity and the information content of cosmic structures
- Influence of adaptive mesh refinement and the hydro solver on shear-induced mass stripping in a minor-merger scenario