Cosmology dependence of halo masses and concentrations in hydrodynamic 
simulations

Ragagnin, Antonio; Saro, Alexandro; Singh, Priyanka; Dolag, Klaus

doi:10.1093/mnras/staa3523

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Cosmology dependence of halo masses and concentrations in hydrodynamic simulations

MPS-Authors

/persons/resource/persons16104

Dolag, Klaus
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Ragagnin, A., Saro, A., Singh, P., & Dolag, K. (2020). Cosmology dependence of halo masses and concentrations in hydrodynamic simulations. Monthly Notices of the Royal Astronomical Society, 500(4), 5056-5071. doi:10.1093/mnras/staa3523.

Cite as: https://hdl.handle.net/21.11116/0000-0008-1ED1-B

Abstract

We employ a set of Magneticum cosmological hydrodynamic simulations that span over 15 different cosmologies, and extract masses and concentrations of all well-resolved haloes between z = 0 and 1 for critical overdensities Δ_vir,Δ_200c,Δ_500c,Δ_2500c and mean overdensity Δ_200m. We provide the first mass–concentration (Mc) relation and sparsity relation (i.e. M_Δ1 − M_Δ2 mass conversion) of hydrodynamic simulations that is modelled by mass, redshift, and cosmological parameters Ω_m, Ω_b, σ₈, h₀ as a tool for observational studies. We also quantify the impact that the Mc relation scatter and the assumption of Navarro–Frank–White (NFW) density profiles have on the uncertainty of the sparsity relation. We find that converting masses with the aid of an Mc relation carries an additional fractional scatter (⁠≈4 per cent⁠) originated from deviations from the assumed NFW density profile. For this reason, we provide a direct mass–mass conversion relation fit that depends on redshift and cosmological parameters. We release the package hydro_mc, a python tool that perform all kind of conversions presented in this paper.