REVIEW 7 cited by
Concentrations of Dark Halos from their Assembly Histories
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
(abridged) We study the relation between the density profiles of dark matter halos and their mass assembly histories, using a statistical sample of halos in a high-resolution N-body simulation of the LCDM cosmology. For each halo at z=0, we identify its merger-history tree, and determine concentration parameters c_vir for all progenitors, thus providing a structural merger tree for each halo. We fit the mass accretion histories by a universal function with one parameter, the formation epoch a_c, defined when the log mass accretion rate dlogM/dloga falls below a critical value S. We find that late forming galaxies tend to be less concentrated, such that c_vir ``observed'' at any epoch a_o is strongly correlated with a_c via c_vir=c_1*a_o/a_c. Scatter about this relation is mostly due to measurement errors in c_v and a_c, implying that the actual spread in c_vir for halos of a given mass can be mostly attributed to scatter in a_c. We demonstrate that this relation can also be used to predict the mass and redshift dependence of c_v, and the scatter about the median c_vir(M,z), using accretion histories derived from the Extended Press-Schechter (EPS) formalism, after adjusting for a constant offset between the formation times as predicted by EPS and as measured in the simulations;this new ingredient can thus be easily incorporated into semi-analytic models of galaxy formation. The correlation found between halo concentration and mass accretion rate suggests a physical interpretation: for high mass infall rates the central density is related to the background density; when the mass infall rate slows, the central density stays approximately constant and the halo concentration just grows as R_vir. The tight correlation demonstrated here provides an essential new ingredient for galaxy formation modeling.
Forward citations
Cited by 7 Pith papers
-
Cluster Mass Inference from Galaxy Kinematics
Simulation-based Deep Sets model with neural posterior estimation halves scatter in cluster mass estimates from galaxy kinematics compared to the M-sigma relation.
-
Anisotropic Secondary Bias of Dark Matter Haloes in a $\Lambda$CDM Universe
Halo spin and elongation create a direction-dependent clustering signal that is governed by alignment with the surrounding cosmic web, whereas orientation-averaged secondary bias is governed by tidal anisotropy.
-
Shapes and orientations of massive halos in the statistically anisotropic universe
Quadrupolar statistical anisotropy in initial conditions leaves cluster shapes unchanged but aligns the major axes of massive halos, more strongly for higher mass.
-
Constraints on the population level distribution of nearby Dark Matter halo shapes with extragalactic streams
A gold subsample of 17 photometry-only extragalactic streams yields a mildly oblate dark-matter halo population with mean flattening μ_q ≈ 0.72 and scatter σ_q ≈ 0.34.
-
COSMOS-Web: does halo mass alone shape the clustering of star-forming and quiescent galaxies?
Quiescent galaxies cluster more strongly than star-forming ones by 0.5-1 dex after halo-mass matching, with one-halo conformity up to z~2 that disappears at higher redshifts.
-
Columba: isolated dwarf galaxy populations in diverse cosmological environments simulated with a cold interstellar medium
New hydrodynamical simulations show that dwarf galaxy stellar mass-halo mass relations and star formation histories are more influenced by host halo concentration than by the 5 cMpc scale environment.
-
The Density Profile of Dynamical Halos
For dynamical dark matter halos, the orbiting density profile at fixed mass is set by one scale, the halo radius, whose scatter shrinks from 16% to 11% when formation time is included.
Discussion (0). Continue with ORCID to comment.