Objective
Weak gravitational lensing is a very powerful tool for investigating the relation between galaxies and their host dark matter halos.
Thanks to current photometric surveys such as KiDS, DES and HSC, the quality of the data available for weak lensing studies is rapidly improving.
However, there has not yet been a corresponding improvement in the methods used for the analysis of this data: most weak lensing studies are still carried out by stacking the signal in bins, resulting in a net loss of information.
As an alternative to stacking, I have recently developed a new method to infer the distribution of halo masses of a population of galaxies with weak lensing data. The method, based on a Bayesian hierarchical inference formalism, allows for an easy exploration of correlations in many dimensions, and to directly constrain the intrinsic scatter in halo mass.
In this project, I will use my method to look for correlations between halo mass and secondary galaxy properties at fixed stellar mass, such as the age of the stellar population, in KiDS data.
I will first test the robustness of my method on hydrodynamical simulations.
Then, after receiving a training on the most technical aspects of KiDS weak lensing measurements, I will apply it on real data.
Finally, I will compare the results of my analysis with predictions from theoretical models. By detecting or ruling out correlations between halo mass and galaxy properties, I will be able to put powerful constraints on galaxy evolution models.
This project will produce an immediate return in terms of science, and will pave the way for the use of more efficient analysis methods in future surveys such as Euclid.
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 astronomy astrophysics black holes
- natural sciences physical sciences astronomy astrophysics dark matter
- natural sciences physical sciences astronomy physical cosmology galaxy evolution
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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-2017
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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.
2311 EZ Leiden
Netherlands
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.