A Reed-based fitting formula for the ΛCDM halo mass function, accurate to a few percent from 10^{-6} to 10^{15.5} M_⊙ and z=0–30, obtained via nested VVV simulations plus a new subsampling reconstruction.
Testing the conditional mass function of dark matter halos against numerical N-body simulations
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abstract
We compare the predicted conditional mass function (CMF) of dark matter halos from two theoretical prescriptions against numerical N-body simulations, both in overdense and underdense regions and at different Eulerian scales ranging from $5$ to $30\,h^{-1}\,$Mpc. In particular, we consider in detail a locally-implemented rescaling of the unconditional mass function (UMF) already discussed in the literature, and also a generalization of the standard rescaling method described in the extended Press-Schechter formalism. First, we test the consistency of these two rescalings by verifying the normalization of the CMF at different scales, and showing that none of the proposed cases provides a normalized CMF. In order to satisfy the normalization condition, we include a modification in the rescaling procedure. After this modification, the resulting CMF generally provides a better description of numerical results. We finally present an analytical fit to the ratio between the CMF and the UMF (also known as the matter-to-halo bias function) in underdense regions, which could be of special interest to speed-up the computation of the halo abundance when studying void statistics. In this case, the CMF prescription based on the locally-implemented rescaling provides a slightly better description of the numerical results when compared to the standard rescaling.
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astro-ph.CO 1years
2026 1verdicts
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The dark matter halo mass function in the $\Lambda\mathrm{CDM}$ cosmology at all times and over all scales -- from planetary to galaxy cluster masses
A Reed-based fitting formula for the ΛCDM halo mass function, accurate to a few percent from 10^{-6} to 10^{15.5} M_⊙ and z=0–30, obtained via nested VVV simulations plus a new subsampling reconstruction.