Modeling the Alignment Profile of Satellite Galaxies in Clusters
Hyunmi Song, Jounghun Lee (Seoul Nat'l Univ.)

TL;DR
This study investigates how satellite galaxy alignments within clusters evolve over time and how their profiles can inform cosmological parameters, using simulations at various redshifts.
Contribution
It models the alignment profile as a power-law of the density correlation coefficient and explores its potential to break cosmological parameter degeneracies.
Findings
Alignment profiles decrease faster at higher redshifts and smaller mass scales.
The alignment profile is sensitive to $ ext{Ω}_m$ and neutrino mass fraction, aiding parameter constraints.
The model is independent of the power spectrum normalization ($ ext{σ}_8$).
Abstract
Analyzing the halo and galaxy catalogs from the Millennium simulations at redshifts , we determine the alignment profiles of cluster galaxies by measuring the average alignments between the major axes of the pseudo inertia tensors from all satellites within cluster's virial radius and from only those satellites within some smaller radius as a function of the top-hat scale difference. The alignment profiles quantify how well the satellite galaxies retain the memory of the external tidal fields after merging into their host clusters and how fast they lose the initial alignment tendency as the cluster's relaxation proceeds. It is found that the alignment profile drops faster at higher redshifts and on smaller mass scales. This result is consistent with the picture that the faster merging of the satellites and earlier onset of the nonlinear effect inside clusters tend to…
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