An efficient and robust method to estimate halo concentration
Kai Wang, H.J. Mo, Yangyao Chen, Joop Schaye

TL;DR
This paper introduces a new, efficient method based on the first moment of the density distribution to estimate halo concentration, significantly reducing bias and error compared to traditional methods, especially for halos with few particles.
Contribution
The authors develop and validate a novel $R_1$-based method for halo concentration estimation that outperforms conventional fitting and $V_{max}/V_{vir}$ methods in accuracy and robustness.
Findings
$R_1$ correlates monotonically with halo concentration.
The $R_1$ method has less than 0.5% systematic error for halos with 100 particles.
Compared to traditional methods, $R_1$ reduces bias and error in concentration estimates.
Abstract
We propose an efficient and robust method to estimate the halo concentration based on the first moment of the density distribution, which is . We find that has a monotonic relation with the concentration parameter of the NFW profile, and that a cubic polynomial function can fit the relation with an error . Tests on ideal NFW halos show that the conventional NFW profile fitting method and the method produce biased halo concentration estimation by and , respectively, for halos with 100 particles. In contrast, the systematic error for our method is smaller than even for halos containing only 100 particles. Convergence tests on realistic halos in -body simulations show that the NFW profile fitting method underestimates the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Impact of Light on Environment and Health
