Objective
"The conformal bootstrap program has been spectacularly successful in producing rigorous numerical bounds on the dynamical data of conformal field theories (CFTs)—systems appearing ubiquitously in many areas of physics and experimental setups. The standard numerical bootstrap uses basic consistency principles to exclude huge regions of parameter space, often leaving small allowed ""islands"" that essentially determine low-lying CFT data, e.g. for the 3d Ising model.
Despite its success, the bootstrap is still held back by its reliance on heavy numerical algorithms. The state-of-the-art bounds for 3d Ising required the order of 10 million CPU-hours. Not only is this slow and expensive, but numerical convergence is a scientific bottleneck. Particularly in 4d CFTs, slow convergence has widely been found to be an obstacle to obtaining precision islands.
In light of these numerical limitations, it is natural to ask if the shape and position of bootstrap islands can be understood analytically. We will develop such an analytic understanding by rigorously proving the duality between optimal bounds and the extremal solutions that saturate them. A consequence is that bootstrap islands for a given system of correlators cannot shrink to zero size, answering an enduring foundational question.
As well as significantly expanding theoretical understanding of the bootstrap, we will harness this analytic information to develop a hybrid (analytic/numerical) bootstrap method. The idea is to solve directly for extremal solutions and extract optimal bounds from them. This stands to be much faster than the usual semi-definite programming numerics, opening a new avenue for precision 4d CFT bootstrap with multi-correlator systems that would otherwise be intractable. We will apply this hybrid method to bootstrap the conformal window of QCD, bounding low-lying CFT data and the conformal window in the number of flavors Nf. We will further apply it to bootstrap interesting 4d N=1 and N=2 SCFTs."
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)
MAIN PROGRAMME
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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.
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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-2025-PF
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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.
WC2R 2LS London
United Kingdom
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