Project description
Analytical and semi-numerical models to understand the universe
The Kapteyn Astronomical Institute at the University of Groningen in the Netherlands conducts research on asteroids, planetary formation, stars, galaxies and cosmology. Supported by the Marie Skłodowska-Curie Actions programme, the LUPCOS project will advance accurate analytical and semi-numerical models of the Cosmic Dawn and the Epoch of Reionisation. The project aims to obtain precise constraints on cosmological and astrophysical parameters by leveraging advanced machine learning techniques. It will enhance the analytical model CosmoReionMC by incorporating additional observational data and detailed physics of complex astrophysical processes. It will also combine parameter estimation techniques with the semi-numerical galaxy formation model DELPHI to enable robust parameter studies.
Objective
I propose the project LUPCOS (Learning the Universe in the era of Precision COSmology) to be carried out at the Kapteyn Astronomical Institute, University of Groningen, under the mentorship of Prof. Pratika Dayal. The main scientific goal of LUPCOS is to fully capitalize on the upcoming sky-surveys by developing very accurate and highly efficient analytical and semi-numerical models of the Cosmic dawn and the Epoch of Reionization and, finally, employing the latest Machine Learning techniques to obtain the tightest constraints on different cosmological and astrophysical parameters. The workflow of the project is a combination of machine learning techniques and seminumerical/analytical modelling of the early epochs of the Universe, thereby bridging the gap between these fields to maximise scientific output. The objectives will be addressed via three work packages (WPs): First (WP1): improve the state-of-the-art analytical model CosmoReionMC by incorporating more observational data and more detailed Physics related to different complex astrophysical processes during CD and EoR. Second (WP2): Coupling the latest parameter estimation technique with the state-of-the-art semi-numerical galaxy formation model DELPHI to make it suitable for parameter estimation study. Third (WP3): Employ the most recent machine learning technique on the state-of-the-art cosmological N-body simulation data to extract the maximum information; this will work as a precursor project on parameter inference techniques for the upcoming sky surveys. My expertise in analytical modelling of the early Universe and skills in ML techniques, along with the expertise of my proposed supervisor, Prof. P. Dayal, at the Kapteyn, put us in a favourable position for the successful execution of this project. Furthermore, with the training from this fellowship, I will be competent to lead future research groups of my own, paving the way for ground-breaking scientific results with upcoming surveys.
Fields of science (EuroSciVoc)
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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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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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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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
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2023-PF-01
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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.
9712CP Groningen
Netherlands
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