Objective
Despite having analysed of over 300 inverse femtobarns of data from the CMS experiment at the LHC, no evidence for New Physics beyond the Standard Model (SM) has been found. Yet, the SM is understood to be an effective theory, and a more fundamental theory is expected at smaller scales. A major limitation of current searches is that only 0.02% of the total data produced by CMS is used for analysis, while nearly 99% of the data is discarded within microseconds by the trigger system, before it even leaves the underground experimental cavern. This discarded data, filtered based on known physics signatures, may contain exactly the kind of unconventional signals that current analyses miss. The aim of this project is to dramatically increase the discovery potential of CMS by developing an online system that can analyse every proton collision event at the full 40 MHz collision rate in a signal-agnostic way. By targeting the 99% of lost data, this project opens new possibilities for detecting unconventional New Physics signatures that have eluded detection so far. By leveraging advanced anomaly detection techniques and high-performance computing, both pioneered by the project's PI, this real-time system will capture and analyse events that are currently missed by the existing trigger system. This novel approach will enable CMS to explore the full landscape of collision data with unprecedented sensitivity. If successful, it could revolutionise how we search for New Physics and lead to novel discoveries that reshape our understanding of fundamental forces. This high-risk, high-reward project is a bold LEAP forward in the hunt for New Physics at the LHC, fully exploiting the capabilities of CMS and unlocking its full potential for discovery. This project’s technological innovations on real time Machine Learning inference, have the potential to impact fields such as satellite communications and large telescope arrays, broadening the scope of its significance.
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.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
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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)
MAIN PROGRAMME
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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.
HORIZON-ERC - HORIZON ERC Grants
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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) ERC-2025-STG
See all projects funded under this callHost institution
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.
8092 Zuerich
Switzerland
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.