Diffhalos generates statistically accurate Monte-Carlo and quasi-Monte-Carlo lightcones of halos, subhalos and Diffmah mass-assembly histories, enabling autodiff gradients of the mass functions.
A universal model for the accretion rates and formation times of dark matter halos
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abstract
The formation histories of halos set the baseline rate at which galaxies accrete gas over cosmic time. While a number of models describe these histories and their derivative, the mass accretion rate (MAR), a simple and universal formula has remained elusive. Here we measure the median MARs and half-mass formation times of halos in dark matter-only and hydrodynamical simulations, in extremely different cosmologies ($\Lambda$CDM and Einstein-de Sitter), and across a wide range of redshifts ($z = 0$-$14$). We confirm that MARs increase with mass and redshift, and that they are virtually identical in hydrodynamical and dark matter-only simulations. We show that MARs are accurately described by a universal six-parameter function of three physical variables: the peak height $\nu$, the slope of the linear power spectrum $n_{\rm eff}$, and the effective linear growth rate $\alpha_{\rm eff}$. A complementary two-parameter fit for the formation redshift improves on the function of Lacey \& Cole by fixing one parameter to its physical value and adding a dependence on $n_{\rm eff}$. Our model is broadly consistent with some prescriptions from the literature but provides a larger range and higher accuracy at high redshifts and low masses. Our fitting functions are implemented in the publicly available \textsc{Colossus} toolkit.
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astro-ph.GA 1years
2026 1verdicts
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Diffhalos: A Generative Model of Cosmological Lightcones of Dark Matter Halos
Diffhalos generates statistically accurate Monte-Carlo and quasi-Monte-Carlo lightcones of halos, subhalos and Diffmah mass-assembly histories, enabling autodiff gradients of the mass functions.