Objective
Understanding the nature of Dark Energy (DE) in the Universe is the central challenge of modern cosmology. Einstein’s Cosmological Constant (Λ) provides the simplest explanation fitting the available cosmological data thus far. However, its unnaturally tuned value indicates that other hypothesis must be explored. Furthermore, current observations do not by any means rule out alternative models in favor of the simplest “concordance” ΛCDM. In the absence of theoretical prejudice, observational tests have mainly focused on the DE equation of state. However, the detection of the inhomogeneous nature of DE will provide smoking-gun evidence that DE is dynamical, ruling out Λ. This key aspect has been mostly overlooked so far, particularly in the optimization design of the next generation of surveys dedicated to DE searches which will map the distribution of matter in the Universe with unprecedented accuracy. The success of these observations relies upon the ability to model the non-linear gravitational processes which affect the collapse of Dark Matter (DM) at small and intermediate scales. Therefore, it is of the highest importance to investigate the role of DE inhomogeneities throughout the non-linear evolution of cosmic structure formation. To achieve this, we will use specifically designed high-resolution numerical simulations and analytical methods to study the non-linear regime in different DE models. The hypothesis to be tested is whether the intrinsic clustering of DE can alter the predictions of the standard ΛCDM model. We will investigate the observational consequences on the DM density field and the properties of DM halos. The results will have a profound impact in the quest for DE and reveal new observable imprints on the distribution of cosmic structures, whose detection may disclose the ultimate origin of the DE phenomenon.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences physical sciences astronomy astrophysics dark matter
- natural sciences physical sciences astronomy physical cosmology
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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.
Topic(s)
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2011-StG_20101014
See other projects for this call
Funding Scheme
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.
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.
Host institution
75794 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.