English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

An observational test for star formation prescriptions in cosmological hydrodynamical simulations

MPS-Authors

Buck,  Tobias
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Dutton,  Aaron A.
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Macciò,  Andrea V.
Max Planck Institute for Astronomy, Max Planck Society and Cooperation Partners;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Buck, T., Dutton, A. A., & Macciò, A. V. (2019). An observational test for star formation prescriptions in cosmological hydrodynamical simulations. Monthly Notices of the Royal Astronomical Society, 486, 1481-1487.


Cite as: https://hdl.handle.net/21.11116/0000-0005-D1B4-3
Abstract
State-of-the-art cosmological hydrodynamical simulations of galaxy formation have reached the point at which their outcomes result in galaxies with ever more realism. Still, the employed sub-grid models include several free parameters such as the density threshold, n, to localize the star-forming gas. In this work, we investigate the possibilities to utilize the observed clustered nature of star formation (SF) in order to refine SF prescriptions and constrain the density threshold parameter. To this end, we measure the clustering strength, correlation length, and power-law index of the two-point correlation function of young (τ < 50 Myr) stellar particles and compare our results to observations from the HST Legacy Extragalactic UV Survey (LEGUS). Our simulations reveal a clear trend of larger clustering signal and power-law index and lower correlation length as the SF threshold increases with only mild dependence on galaxy properties such as stellar mass or specific star formation rate. In conclusion, we find that the observed clustering of SF is inconsistent with a low threshold for SF (n < 1 cm-3) and strongly favours a high value for the density threshold of SF (n > 10 cm-3), as, for example employed in the NIHAO project.