The MIP Ensemble Simulation: Local Ensemble Statistics in the Cosmic Web
M.A. Aragon-Calvo

TL;DR
This paper introduces a novel local ensemble simulation technique that enhances the analysis of halo properties and their environmental dependence in the cosmic web, overcoming traditional limitations in halo number density.
Contribution
The paper presents the MIP correlated ensemble simulation, enabling local ensemble statistics and detailed environmental analysis of halo properties at unprecedented resolution.
Findings
Significant spatial variations in halo ellipticity and LSS alignment.
The technique effectively increases halo number density for statistical analysis.
Implications for observational studies of galaxy shape and alignment.
Abstract
We present a new technique that allows us to compute ensemble statistics on a local basis, directly relating halo properties to their local environment. This is achieved by the use of a correlated ensemble in which the Large Scale Structure is common to all realizations while having each an independent halo population. The correlated ensemble can be stacked, effectively increasing the halo number density by an arbitrary factor, thus breaking the fundamental limit in the halo number density given by the haloe mass function. This technique allows us to compute \textit{local ensemble statistics} of the matter/haloe distribution at any position in the simulation box, while removing the intrinsic stochasticity in the halo formation process and directly relating halo properties to their environment. We introduce the \textit{Multum In Parvo} (MIP) correlated ensemble simulation consisting of…
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