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 (H 2 ). 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 thermochemical state of the gas, and reducing the H 2 abundance even in dense gas. Mechanical feedback, on the other hand, is able to reproduce the H 2 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.

Lupi, A. (2019). H 2 chemistry in galaxy simulations: An improved supernova feedback model. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 484(2), 1687-1701 [10.1093/mnras/stz100].

H 2 chemistry in galaxy simulations: An improved supernova feedback model

Lupi A.
2019

Abstract

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 (H 2 ). 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 thermochemical state of the gas, and reducing the H 2 abundance even in dense gas. Mechanical feedback, on the other hand, is able to reproduce the H 2 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.
Articolo in rivista - Articolo scientifico
Galaxies: evolution; Galaxies: formation; Galaxies: ISM; ISM: molecules;
Galaxies: evolution; Galaxies: formation; Galaxies: ISM; ISM: molecules
English
2019
484
2
1687
1701
none
Lupi, A. (2019). H 2 chemistry in galaxy simulations: An improved supernova feedback model. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 484(2), 1687-1701 [10.1093/mnras/stz100].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/295551
Citazioni
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 12
Social impact