Objective
The identity of the dark matter is a fundamental problem in Physics whose solution will have major implications for cosmology, astronomy and particle physics. There is compelling evidence that the dark matter consists of elementary particles created shortly after the Big Bang, but searches for them in the laboratory and from astrophysical sources have proved inconclusive. The currently favoured candidate is cold dark matter or CDM. This forms the basis of the standard model of cosmology, LCDM, whose predictions, dating back to the 1980s, turned out to agree remarkably well with observations covering a staggering range of epochs and scales, from the temperature structure of the cosmic microwave background radiation to the large-scale pattern of galaxy clustering. Yet, this agreement is not exclusive to CDM: models based on other types of particles -- warm, self-interacting or asymmetric, for example -- agree equally well with these data but differ on scales smaller than individual bright galaxies. These are the scales targeted in this application in which we propose a comprehensive investigation of small-scale structure, with the aim of testing dark matter candidates, by focusing on three key astrophysical diagnostics: strong gravitational lensing, dwarf galaxies and stellar halos. We propose a joint theoretical and observational programme exploiting three major developments: SWIFT, a new code developed at Durham that will enable cosmological hydrodynamics simulations an order of magnitude larger than is possible today; SuperBIT, an innovative balloon-borne wide-field imaging telescope that will collect gravitational lensing data for hundreds of galaxy clusters; and DESI, a spectro-photometric survey that will acquire 10 times more spectra of stars in the Milky Way than previous surveys. The particle models that we will consider have predictive power and are disprovable. Our programme has the potential to rule out many dark matter particle candidates, including CDM.
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.
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.
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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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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-ADG - Advanced Grant
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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.
(opens in new window) ERC-2017-ADG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
DH1 3LE DURHAM
United Kingdom
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.