Project description
Theoretical models integrating the effects of black holes on haloes
Theoretical modelling and observational cosmology go hand in hand. Current theoretical models often neglect the complex physics of galaxy formation, such as the powerful feedback processes from supermassive black holes and their effects on the huge clouds of gas around galaxies (haloes). The ERC-funded COSMIC-KEY project will fill this gap. Building on the successful IllustrisTNG simulations modelling the formation and evolution of galaxies, the team will create new simulated datasets (beginning with the TNG-Cluster suite) to study more numerous and more massive synthetic galaxy clusters. Improved representation of gas, radiation and black hole activity will help researchers compare simulations with observations for more reliable measurements of the universe.
Objective
Observational programs aimed at mapping the large-scale structure of the Universe, such as eROSITA and Euclid, are ushering in the era of Precision Cosmology. Our knowledge will soon transition from being limited by statistical errors, to being hindered by systematic uncertainties. These systematics arise from the theoretical modeling adopted to fit the data and the complex physics of galaxy formation, whose effects are often neglected. In fact, powerful feedback processes from supermassive black holes (SMBHs) affect the phase-space and thermodynamical properties of the gas within haloes and beyond, in turn modifying the expectations for the cosmological observables and the large-scale matter distribution.
In order to fulfill the potential of observational cosmology, we must take a far-reaching step forward by a) designing novel types of large-scale simulations that model gaseous haloes and the effects of SMBH feedback to unprecedented levels of realism and by b) providing quantitative and trustworthy — that is, physically-motivated and observationally-validated — prescriptions for cosmological analyses.
Starting from the well-validated IllustrisTNG hydrodynamical simulations, we will extend their scope to more massive systems with a new suite, TNG-Cluster. We will provide a library of baryon-informed formulae for cosmological constraints with galaxies, groups, and clusters as well as design novel observational tests for SMBH feedback models. Going beyond the state-of-the-art, we will develop numerical models that account 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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
- natural sciences physical sciences astronomy astrophysics black holes
- natural sciences computer and information sciences computational science
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences physical sciences astronomy physical cosmology
- natural sciences mathematics applied mathematics numerical analysis
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-COG
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80539 MUNCHEN
Germany
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