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[ascl:2302.025] Diffmah: Differentiable models of halo and galaxy formation history

Diffmah approximates the growth of individual halos as a simple power-law function of time, where the power-law index smoothly decreases as the halo transitions from the fast-accretion regime at early times to the slow-accretion regime at late times. The code has a typical accuracy of 0.1 dex for times greater than one billion years in halos of mass greater than 10e11 M_sun. Diffmah self-consistently captures the mean and variance of halo mass accretion rates across long time scales, and it generates Monte Carlo simulations of cosmologically-representative and differentiable halo histories.

Code site:
https://github.com/ArgonneCPAC/diffmah
Described in:
https://ui.adsabs.harvard.edu/abs/2021OJAp....4E...7H
Bibcode:
2023ascl.soft02025H

Views: 905

ascl:2302.025
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