
TL;DR
This paper uses Information Theory and cosmological simulations to quantify the complexity of the cosmic web, revealing that the periphery of large-scale structures is the most complex environment, with total complexity around 10^16-10^17 bits.
Contribution
It introduces a novel application of statistical complexity to cosmological simulations, quantifying the complexity of cosmic structures over time and environment.
Findings
Peripheries of large-scale structures are the most complex regions.
Complexity is roughly 10-100 times higher in dense environments.
Total complexity of gas energy evolution is about 10^16-10^17 bits.
Abstract
The growth of large-scale cosmic structure is a beautiful exemplification of how complexity can emerge in our Universe, starting from simple initial conditions and simple physical laws. Using {\enzo} cosmological numerical simulations, I applied tools from Information Theory (namely, "statistical complexity") to quantify the amount of complexity in the simulated cosmic volume, as a function of cosmic epoch and environment. This analysis can quantify how much difficult to predict, at least in a statistical sense, is the evolution of the thermal, kinetic and magnetic energy of the dominant component of ordinary matter in the Universe (the intragalactic medium plasma). The most complex environment in the simulated cosmic web is generally found to be the periphery of large-scale structures (e.g. galaxy clusters and filaments), where the complexity is on average times larger…
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