4.7 Article

A model for cosmological simulations of galaxy formation physics

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stt1789

关键词

methods: numerical; cosmology: theory

资金

  1. PRACE project [RA0844]
  2. NASA through Hubble Fellowship [HST-HF-51317.01]
  3. DFG [SFB 881]
  4. European Research Council under ERC-StG grant [EXAGAL-308037]
  5. FAS Science Division Research Computing Group at Harvard University
  6. Stampede supercomputer at the Texas Advanced Computing Center
  7. Magny Cluster at HITS
  8. CURIE supercomputer at CEA/France as part of PRACE project [RA0844]
  9. Direct For Mathematical & Physical Scien
  10. Division Of Astronomical Sciences [1312095] Funding Source: National Science Foundation

向作者/读者索取更多资源

We present a new comprehensive model of the physics of galaxy formation designed for large-scale hydrodynamical simulations of structure formation using the moving-mesh code arepo. Our model includes primordial and metal-line cooling with self-shielding corrections, stellar evolution and feedback processes, gas recycling, chemical enrichment, a novel subgrid model for the metal loading of outflows, black hole (BH) seeding, BH growth and merging procedures, quasar- and radio-mode feedback, and a prescription for radiative electromagnetic (EM) feedback from active galactic nuclei (AGN). Our stellar evolution and chemical enrichment scheme follows nine elements (H, He, C, N, O, Ne, Mg, Si, Fe) independently. Stellar feedback is realized through kinetic outflows. The metal mass loading of outflows can be adjusted independently of the wind mass loading. This is required to simultaneously reproduce the stellar mass content of low-mass haloes and their gas oxygen abundances. Radiative EM AGN feedback is implemented assuming an average spectral energy distribution and a luminosity-dependent scaling of obscuration effects. This form of feedback suppresses star formation more efficiently than continuous thermal quasar-mode feedback alone, but is less efficient than mechanical radio-mode feedback in regulating star formation in massive haloes. We contrast simulation predictions for different variants of our galaxy formation model with key observations, allowing us to constrain the importance of different modes of feedback and their uncertain efficiency parameters. We identify a fiducial best match model and show that it reproduces, among other things, the cosmic star formation history, the stellar mass function, the stellar mass-halo mass relation, g-, r-, i- and z-band SDSS galaxy luminosity functions, and the Tully-Fisher relation. We can achieve this success only if we invoke very strong forms of stellar and AGN feedback such that star formation is adequately reduced in both low- and high-mass systems. In particular, the strength of radio-mode feedback needs to be increased significantly compared to previous studies to suppress efficient cooling in massive, metal-enriched haloes.

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