EDGE: A new approach to suppressing numerical diffusion in adaptive mesh simulations of galaxy formation
Andrew Pontzen, Martin P. Rey, Corentin Cadiou, Oscar Agertz, Romain, Teyssier, Justin I. Read, Matthew D. A. Orkney

TL;DR
This paper presents a new method to reduce numerical diffusion in adaptive mesh refinement simulations of galaxy formation, leading to more accurate modeling of star formation onset and galaxy structure.
Contribution
The authors introduce a velocity-zeroed initial condition technique to suppress grid-relative streaming, improving the physical realism of AMR galaxy formation simulations.
Findings
More physical, gradual star formation onset at high redshift.
Significant differences in galaxy morphology and dynamics at z=0.
Suppression of numerical diffusion improves simulation accuracy.
Abstract
We introduce a new method to mitigate numerical diffusion in adaptive mesh refinement (AMR) simulations of cosmological galaxy formation, and study its impact on a simulated dwarf galaxy as part of the 'EDGE' project. The target galaxy has a maximum circular velocity of 21 km/s but evolves in a region which is moving at up to 90 km/s relative to the hydrodynamic grid. In the absence of any mitigation, diffusion softens the filaments feeding our galaxy. As a result, gas is unphysically held in the circumgalactic medium around the galaxy for 320 Myr, delaying the onset of star formation until cooling and collapse eventually triggers an initial starburst at z=9. Using genetic modification, we produce 'velocity-zeroed' initial conditions in which the grid-relative streaming is strongly suppressed; by design, the change does not significantly modify the large scale structure or dark matter…
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