The cosmology dependence of the concentration-mass-redshift relation
Daniel L\'opez-Cano, Ra\'ul E. Angulo, Aaron D. Ludlow, M. Zennaro, S., Contreras, Jon\'as Chaves-Montero, G. Aric\`o

TL;DR
This paper investigates how the concentration-mass-redshift relation of dark matter haloes depends on various cosmological parameters using extensive N-body simulations, and evaluates existing models' predictive accuracy.
Contribution
It provides a comprehensive analysis of the cosmology dependence of halo concentrations and tests the reliability of existing predictive models across diverse cosmologies.
Findings
Concentration correlates tightly with the critical density at halo formation.
Existing models succeed or fail depending on the cosmology and mass range.
Simulations enable accurate predictions of halo concentration across parameters.
Abstract
The concentrations of dark matter haloes provide crucial information about their internal structure and how it depends on mass and redshift -- the so-called concentration-mass-redshift relation, denoted . We present here an extensive study of the cosmology-dependence of that is based on a suite of 72 gravity-only, full N-body simulations in which the following cosmological parameters were varied: , , , , , , and . We characterize the impact of these parameters on concentrations for different halo masses and redshifts. In agreement with previous works, and for all cosmologies studied, we find that there exists a tight correlation between the characteristic densities of dark matter haloes within their scale radii, , and the critical density of the Universe at…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
