GenetIC — a new initial conditions generator to support genetically modified zoom simulations. (arXiv:2006.01841v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Stopyra_S/0/1/0/all/0/1">Stephen Stopyra</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Pontzen_A/0/1/0/all/0/1">Andrew Pontzen</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Peiris_H/0/1/0/all/0/1">Hiranya Peiris</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Roth_N/0/1/0/all/0/1">Nina Roth</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Rey_M/0/1/0/all/0/1">Martin Rey</a>
We present genetIC, a new code for generating initial conditions for
cosmological N-body simulations. The code allows precise, user-specified
alterations to be made to arbitrary regions of the simulation (while
maintaining consistency with the statistical ensemble). These “genetic
modifications” allow, for example, the history, mass, or environment of a
target halo to be altered in order to study the effect on their evolution. The
code natively supports initial conditions with nested zoom regions at
progressively increasing resolution. Modifications in the high-resolution
region must propagate self-consistently onto the lower resolution grids; to
enable this while maintaining a small memory footprint, we introduce a
Fourier-space filtering approach to generating fields at variable resolution.
Due to a close correspondence with modifications, constrained initial
conditions can also be produced by genetIC (for example with the aim of
matching structures in the local Universe). We test the accuracy of
modifications performed within zoom initial conditions. The code achieves
sub-percent precision, which is easily sufficient for current applications in
galaxy formation.
We present genetIC, a new code for generating initial conditions for
cosmological N-body simulations. The code allows precise, user-specified
alterations to be made to arbitrary regions of the simulation (while
maintaining consistency with the statistical ensemble). These “genetic
modifications” allow, for example, the history, mass, or environment of a
target halo to be altered in order to study the effect on their evolution. The
code natively supports initial conditions with nested zoom regions at
progressively increasing resolution. Modifications in the high-resolution
region must propagate self-consistently onto the lower resolution grids; to
enable this while maintaining a small memory footprint, we introduce a
Fourier-space filtering approach to generating fields at variable resolution.
Due to a close correspondence with modifications, constrained initial
conditions can also be produced by genetIC (for example with the aim of
matching structures in the local Universe). We test the accuracy of
modifications performed within zoom initial conditions. The code achieves
sub-percent precision, which is easily sufficient for current applications in
galaxy formation.
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