Formation times, mass growth histories and concentrations of dark matter haloes
Carlo Giocoli (INAF-OaBO, INFN Bologna), Giuseppe Tormen (UniPD), Ravi, K. Sheth (ICTP Trieste, UPENN)

TL;DR
This paper presents a simple model to estimate the formation times, mass growth histories, and concentrations of dark matter halos, linking formation time to halo concentration and providing predictive accuracy for these properties.
Contribution
The authors introduce a straightforward algorithm that relates halo formation time and concentration to mass and redshift, improving predictions of halo properties based on formation history.
Findings
Predicted log10 c with a precision of about 0.13 dex from mass alone.
Predicted log10 tf with a precision of about 0.09 dex from mass and concentration.
Provided a method to estimate halo concentration distribution dependence on cosmology.
Abstract
We develop a simple model for estimating the mass growth histories of dark matter halos. The model is based on a fit to the formation time distribution, where formation is defined as the earliest time that the main branch of the merger tree contains a fraction f of the final mass M . Our analysis exploits the fact that the median formation time as a function of f is the same as the median of the main progenitor mass distribution as a function of time. When coupled with previous work showing that the concentration c of the final halo is related to the formation time tf associated with f \sim 0.04, our approach provides a simple algorithm for estimating how the distribution of halo concentrations may be expected to depend on mass, redshift and the expansion history of the background cosmology. We also show that one can predict log10 c with a precision of about 0.13 and 0.09 dex if only…
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