SIMBAD references

2019MNRAS.484.1687L - Mon. Not. R. Astron. Soc., 484, 1687-1701 (2019/April-1)

H2 chemistry in galaxy simulations: an improved supernova feedback model.

LUPI A.

Abstract (from CDS):

In this study, we present and validate a variation of recently developed physically motivated sub-grid prescriptions for supernova feedback that account for the unresolved energy-conserving phase of the bubble expansion. Our model builds upon the implementation publicly available in the mesh-less hydrodynamic code GIZMO, and is coupled with the chemistry library KROME. Here, we test it against different set-ups to address how it affects the formation/dissociation of molecular hydrogen (H2). First, we explore very idealized conditions, to show that it can accurately reproduce the terminal momentum of the blast-wave independent of resolution. Then, we apply it to a suite of numerical simulations of an isolated Milky Way-like galaxy and compare it with a similar run employing the delayed-cooling sub-grid prescription. We find that the delayed-cooling model, by pressurizing ad hoc the gas, is more effective in suppressing star formation. However, to get this effect, it must maintain the gas warm/hot at densities where it is expected to cool efficiently, artificially changing the thermo-chemical state of the gas, and reducing the H2 abundance even in dense gas. Mechanical feedback, on the other hand, is able to reproduce the H2 column densities without altering the gas thermodynamics, and, at the same time, drives more powerful outflows. However, being less effective in suppressing star formation, it overpredicts the Kennicutt-Schmidt relation by a factor of about 2.5. Finally, we show that the model is consistent at different resolution levels, with only mild differences.

Abstract Copyright: © 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): ISM: molecules - galaxies: evolution - galaxies: formation - galaxies: ISM

Simbad objects: 1

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2019MNRAS.484.1687L and select 'bookmark this link' or equivalent in the popup menu