SOURCE-LINKED INTELLIGENCE
The key to precise and accurate cosmology: Simulating the physics that shapes gaseous haloes
nt for the effects of the multi-phase structure of the gas, of radiation, and of more sophisticated SMBH physics by using new simulation techniques and by complementing the AREPO code with on-the-fly machine learning-based methods. These will enable groundbreaking large-scale simulations, new types of comparisons to observations of both the hot and cold halo gas, and, ultimately, novel and independent analyses of available cosmological data. Cosmological magneto-hydrodynamical simulations; galaxy formation and evolution; groups and clusters of galaxies; feedback from supermassive black holes; gaseous haloes; circumgalactic medium, intra-group and intra-cluster medium; cosmology with groups and clusters; eROSITA.
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1997500
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.