Objective
Key open questions in cosmology can be addressed by studying the evolution of the Universe’s structure as a function of scale and time using various observational probes. Traditional methods rely on two-point statistics (e.g. the power spectrum) of cosmological observables and theory-based modeling. In recent years, I have pioneered alternative methods: I developed and applied to weak lensing data a simulation-based inference (SBI) framework to estimate parameter posteriors using simulations. This framework opens the door to studying the data with newer probes for which theoretical models do not exist, enabling the use of higher-order statistics alongside two-point statistics. It also offers a more flexible and accurate incorporation of observational systematics and simplifies the combination of summary statistics from multiple datasets.
With ERC support, I will extend the weak-lensing SBI framework to forward-model CMB secondary anisotropies (CMB lensing, thermal Sunyaev–Zel’dovich) and apply it to Euclid, SPT, and Planck. This enables the first joint analysis of these probes using two- and higher-order statistics. COSMO-SBI will deliver the most precise measurement or the matter fluctuation amplitude σ8 to date (sub-percent in ΛCDM), improve the σ8–Ωm Figure-of-Merit by ~4× over standard approaches, and achieve ~5× tighter w0–wa constraints than conventional two-point pipelines applied to the same LSS data. When combined with external data, the joint fit is expected to yield leading constraints on dynamical dark energy. COSMO-SBI will also provide a sound-horizon independent ~1% measurement of H0, offering a valuable independent cross-check against other methods, and new insight into small-scale baryonic physics across halo mass and redshift.
COSMO-SBI will demonstrate the power of SBI for joint probes, paving the way for more ambitious SBI analyses and motivating the development of SBI frameworks for multiple observables and more beyond-ΛCDM models.
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 dark matter
- natural sciences physical sciences astronomy physical cosmology
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Keywords
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.1.1 - European Research Council (ERC)
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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-ERC - HORIZON ERC Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2026-STG
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28006 Madrid
Spain
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