Dark Matter Collapse Models

Autor(en)

Agata Wislocka

Abstrakt

The most accurate description of the formation of dark matter (DM) structures comes from N-body simulations. However, running simulations is not only a costly method, but also, one that is limited by resolution. Due to this shortcoming simulations cannot provide us with predictions about the smallest structures and their statistics. A powerful alternative to N-body approaches comes in the form of analytical or numerical framework describing the evolution of DM, without the need to follow complex, non-linear dynamics in detail. Such methods, like the excursion set formalism coupled with DM collapse models, can resolve the smallest scales, hence allowing for making such predictions. To date this method proves to make accurate statistical predictions (i.e. halo mass functions, progenitor distributions and the merger rate histories). However, the collapse models make other detailed predictions for the DM fluid particles (i.e. collapse times, densities, morphology class), which have not yet been investigated against simulations. The aim of this project is to test these models thoroughly. For this purpose we use a simulation code, which outputs many parameters suitable for this comparison. We do this by evolving a grid of particles with the collapse models and excursion sets and comparing our results to 16 simulations all ran with different cut-off scales imposed on the initial power spectrum.

Organisation(en)

Institut für Astrophysik

Publikationsdatum

03-2024

Peer-reviewed

Ja

ÖFOS 2012

103003 Astronomie, 103004 Astrophysik

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/044a1cb7-cc1e-4f31-b4fb-38d84e356240