Objective
Weak gravitational lensing has emerged as a powerful tool to probe the distribution and nature of the dark components of our Universe, and thus to better constrain our cosmological model. For this reason, several large projects such as the Dark Energy Survey and Euclid have been commissioned to study this effect. Arising from the deflection of light due to the gravitational potential of structures in the Universe, it manifests as a small, correlated elliptical distortion -- a shear -- in galaxy images. Lensing is sensitive only to the presence of matter, and not to the nature of that matter (luminous, dark, baryonic, etc.), and thus provides an ideal and unbiased probe of the structure of the cosmic web.
This proposal will address the problem of mapping the dark matter distribution in three dimensions using measurements of weak gravitational lensing. This is a very complex, ill-posed problem with numerous sources of noise and signal contamination. A focus of my postdoctoral work has been in developing a multidisciplinary approach to this problem, marking a dramatic shift from earlier methods. My new algorithm -- GLIMPSE -- demonstrates an impressive improvement in the fidelity of the maps generated, thereby for the first time opening up allowing 3D mapping techniques to directly constrain the cosmological model. With this in mind, the specific aims of this proposal are to further develop the GLIMPSE algorithm to ready the software for application to survey data, and to more fully develop the applicable theory and statistical tools to allow the outputs of GLIMPSE to be used to directly constrain our cosmological model.
This development will establish GLIMPSE at the forefront of the field, and will significantly further the goals of large targeted weak lensing surveys. This is essential to a better understanding of the nature and behaviour of the dark components of the Universe.
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 computer and information sciences software
- natural sciences physical sciences astronomy astrophysics dark matter
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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.
FP7-PEOPLE-2013-IEF
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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.
Coordinator
WC1E 6BT LONDON
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.