Objective
According to modern cosmological models only 16% of all matter in our universe corresponds to the known, visible matter. The other 84% is called dark matter (DM) and could so far only be observed indirectly, which is why its particle nature is poorly understood. Yet, DM played a crucial role during the evolution of our universe and thus the formation of life itself. Therefore, the understanding of DM is an important aim of contemporary physics and is pursued in this fellowship.
With this research proposal, I will endeavour to uncover the particle nature of DM by analysing the proton collisions of the Large Hadron Collider recorded with the ATLAS detector at a centre of mass energy of 13 TeV. I will study whether DM is produced in the collisions by analysing events containing a Higgs boson decaying to two tau leptons and missing transverse energy, the iconic signature of weakly interacting particles. This search channel has not been exploited before and complements the current searches for DM performed by the ATLAS collaboration. I will develop a strategy to identify these Higgs decays by using novel physics quantities and machine learning methods. The results will be interpreted in different models that describe DM.
Furthermore, I will combine the results of different Higgs plus DM searches of the ATLAS Collaboration to maximise their discovery reach. Their sensitivity will be increased through the exploitation of the uncertainty correlation between the different measurements and results from other DM searches will be incorporated. This way, my proposal connects the fields of high energy physics, astroparticle physics, cosmology and computer science with the aim to uncover the true nature of DM in our 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 physical sciences theoretical physics particle physics leptons
- natural sciences physical sciences theoretical physics particle physics particle accelerator
- natural sciences physical sciences astronomy astrophysics dark matter
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences physical sciences theoretical physics particle physics higgs bosons
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
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
See all projects funded under this funding scheme
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
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.
5020 Bergen
Norway
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.