Counts-in-Cells of subhaloes in the IllustrisTNG simulations: the role of baryonic physics
Christine C. Dantas (Astrophysics Division, INPE, Brazil)

TL;DR
This study analyzes the Counts-in-Cells statistics of subhaloes in the IllustrisTNG simulations, demonstrating that the GQED model effectively describes baryonic and dark matter distributions across various redshifts and scales.
Contribution
It evaluates and compares the GQED and NBD models for subhalo distributions in full and dark-only simulations, extending understanding of baryonic effects on large-scale structure statistics.
Findings
Both models fit the data well with minor differences due to baryons.
The GQED model's assumptions remain valid with baryonic physics.
The density-in-cells PDF aligns with previous theoretical predictions.
Abstract
We present an analysis of the Counts-in-Cells (CiC) statistics of subhaloes in the publicly available IllustrisTNG cosmological simulations (TNG100-1, TNG100-3 and TNG300-3), considering their full and dark-only versions, in redshifts ranging from to , and different cell sizes. We evaluated two CiC models: the gravitational quasi-equilibrium distribution (GQED) and the negative binomial distribution (NBD), both presenting good fits, with small detectable differences in the presence of baryons. Scaling and time dependencies of the best-fit parameters showed similar trends compared with the literature. We derived a matter density-in-cells probability distribution function (PDF), associated with the GQED, which was compared to the PDF given in Uhlemann et al. (2016), for the IllustrisTNG 100-3-Dark run at . Our results indicate that the simplest gravithermodynamical…
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