The BAHAMAS project: Calibrated hydrodynamical simulations for large-scale structure cosmology
arXiv:1603.02702 · doi:10.1093/mnras/stw2792
Abstract
The evolution of the large-scale distribution of matter is sensitive to a variety of fundamental parameters that characterise the dark matter, dark energy, and other aspects of our cosmological framework. Since the majority of the mass density is in the form of dark matter that cannot be directly observed, to do cosmology with large-scale structure one must use observable (baryonic) quantities that trace the underlying matter distribution in a (hopefully) predictable way. However, recent numerical studies have demonstrated that the mapping between observable and total mass, as well as the total mass itself, are sensitive to unresolved feedback processes associated with galaxy formation, motivating explicit calibration of the feedback efficiencies. Here we construct a new suite of large-volume cosmological hydrodynamical simulations (called BAHAMAS, for BAryons and HAloes of MAssive Systems) where subgrid models of stellar and Active Galactic Nucleus (AGN) feedback have been calibrated to reproduce the present-day galaxy stellar mass function and the hot gas mass fractions of groups and clusters in order to ensure the effects of feedback on the overall matter distribution are broadly correct. We show that the calibrated simulations reproduce an unprecedentedly wide range of properties of massive systems, including the various observed mappings between galaxies, hot gas, total mass, and black holes, and represent a significant advance in our ability to mitigate the primary systematic uncertainty in most present large-scale structure tests.
34 pages, 28 figures. MNRAS, accepted
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- On the road to percent accuracy VI: the nonlinear power spectrum for interacting dark energy with baryonic feedback and massive neutrinos
- Forged by Feedback: Stellar Properties of Brightest Group Galaxies in Cosmological Simulations
- Towards a universal model for the density profiles of dark matter haloes
- The Hydrostatic Mass Bias and the Tension: A Multi-Probe Forecast for Stage-IV/V Surveys
- Response approach to the integrated shear 3-point correlation function: the impact of baryonic effects on small scales
- Dark Energy Survey Year 3 results: Cosmology with peaks using an emulator approach
- On the consistency of jet feedback modelling across different astrophysics hydrodynamical codes
- The interplay between AGN feedback and precipitation of the intracluster medium in simulations of galaxy groups and clusters
- Entropy plateaus can emerge from gas replacement at a characteristic halo mass in simulated groups and clusters of galaxies
- Measuring the Dark Matter Self-Interaction Cross-Section with Deep Compact Clustering for Robust Machine Learning Inference
- Sensitivity of Cosmological Parameter Estimation to Nonlinear Prescription from Cosmic Shear
- Bound or blown: the fate of hot gas in galaxy groups
- The AGEL Survey: Spectroscopic Confirmation of Strong Gravitational Lenses in the DES and DECaLS Fields Selected Using Convolutional Neural Networks