Objective
"The nature of dark matter (DM) is arguably the biggest mystery in fundamental physics. Many experimental efforts are underway which aim to detect this elusive matter and measure its properties, using a wide variety of techniques, however to make full use of this data a combined statistical analysis must be performed which makes use of the data from all these experiments simultaneously, and compares this data to the predictions of many different theories while including all uncertainties, correlations and theoretical nuances self-consistently. Analyses of this kind are known as ""global fits"". I propose to use a newly developed, open-source global-fitting tool called GAMBIT to perform the largest and most robust combined statistical analysis of DM data to date. To do this I will extend the capabilities of GAMBIT to allow it to work with a class of models known as ""effective theories"" which efficiently parameterise the degrees of freedom relevant to experiments at a particular energy scale, so that a global fit can be performed in a fully model-independent way. This will require several connected layers of effective theory to be utilised, to account for the different energy scales involved in the diverse set of DM experiments currently underway. The project is highly interdisciplinary and makes use of recent theoretical developments and experimental results in high energy physics, particle astrophysics, astronomy, nuclear physics, and computational statistics. The proposal will generate a transfer of knowledge to the host institution while developing the candidate's theoretical expertise in new directions, particularly particle astrophysics. The results of the project will be of wide use to the dark matter community, both in terms of direct analysis results and via the development of open-source computational tools for use in future analyses, and will provide robust guidance to experimentalists as to which dark matter candidates are the most promising."
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.
- natural sciences physical sciences nuclear physics
- natural sciences physical sciences astronomy astrophysics dark matter
- natural sciences physical sciences theoretical physics
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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) H2020-MSCA-IF-2016
See all projects funded under this callCoordinator
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.
SW7 2AZ London
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.