Project description
Advanced systems detecting long-lived particles in the Large Hadron Collider
Particle physics has answered many questions about the universe. However, mysteries such as dark matter, neutrino masses and baryon asymmetry remain unsolved. Long-lived particles (LLPs), predicted by theories beyond the standard model, could hold the key. Nevertheless, detecting LLPs is challenging as they leave unusual signatures. To address this, the ERC-funded INTREPID project will enhance the trigger systems of the High-Luminosity Large Hadron Collider. Using machine learning and ultrafast processing platforms, researchers will propose innovative strategies to identify LLPs in real time from massive data volumes. These upgrades could unlock new discoveries in particle physics while creating technologies with far-reaching applications in data-intensive industries.
Objective
The discovery of the Higgs boson at the Large Hadron Collider (LHC) closes a central chapter of the standard model (SM) of particle physics while raising several questions, such as the nature of dark matter, an explanation to neutrino masses, or the origin of baryon asymmetry in the Universe. The answer to those questions could be linked to the production of beyond the SM (BSM) particles which may have long lifetimes, compared to SM particles at the weak scale. If these long-lived particles (LLPs) were to be produced at the LHC, they would yield non-standard signatures which require dedicated identification algorithms. A complex filtering (trigger) system running sophisticated algorithms allows to decide, in real time, whether a given event of interest should be saved for data analysis or discarded. The general goal of this proposal is to enhance the trigger capabilities to enable the discovery of LLPs and thus find evidence of BSM physics exploring innovative technologies that may be of use in future facilities. With several years before the start of the High-Luminosity LHC (HL-LHC), it is now the perfect time to explore alternative trigger architectures and technologies not considered in the plans of the collaboration and that could not be explored otherwise. To this end, I will use a multidisciplinary approach involving advanced Machine Learning techniques and top-of-the-line ultra-fast processing platforms to propose an innovative solution that will improve the capabilities of future trigger systems. The foreseen studies might be the only way in which LLPs can be discovered at the HL-LHC. Any manifestation of such particles will revolutionise the field of High Energy Physics and help to answer several fundamental questions regarding the energy scale and nature of the BSM physics. Beside progressing in the frontiers of science, the designed techniques can be of great use for industries requiring real-time processing of large data-volumes to extract features.
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.
You need to log in or register to use this function
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.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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.
HORIZON-ERC - HORIZON ERC Grants
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) ERC-2023-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.
33003 OVIEDO
Spain
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.