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Advancing global SMEFT fits in the LHC precision era

Project description

Heavy particles could defy standard model expectations

After more than a decade of research, the Large Hadron Collider has not found direct evidence of new particles. This suggests that if new physics exists, it might involve heavy particles that need more energy for their detection. The standard model effective field theory (SMEFT) offers a way to probe new physics by revealing that heavy particles might slightly deviate from expected standard model predictions in particle interactions. Funded by the Marie Skłodowska-Curie Actions programme, the EFT4ward project aims to advance understanding of particle physics beyond current models. The research team seeks to advance SMEFT by integrating low-energy observations in global fit methodologies, using machine learning to develop optimal observables to maximise sensitivity to new physics and creating open-source software to identify potential heavy particles from SMEFT results.

Objective

After more than a decade of data-taking, no direct evidence of new particles has been found at the LHC, suggesting that new physics (NP) might be heavier than the energies currently probed. Heavy particles can alter interactions among known particles, causing subtle deviations from the Standard Model (SM) predictions. The Standard Model Effective Field Theory (SMEFT) is a robust framework that allows for a model-independent parametrisation of new interactions, providing us with the tools needed for a successful indirect discovery program. In particular, the peculiar structure of the theory dictates correlations between different observables, motivating global analyses. In this proposal, I develop a strategy to advance global SMEFT interpretations in three key directions. Firstly, I will expand the comprehensiveness of the dataset by including low-energy observables in current global fit methodologies. To accomplish this, renormalization group equations mixing effects must be included in theoretical predictions, as they prescribe how different energy regimes are connected. Secondly, the research project aims to advance the design of optimal observables for global fits by using machine learning techniques, with the goal of maximising sensitivity to NP. Lastly, the ultimate objective of indirect searches is the identification of heavy new particles responsible for the modified interactions; the SMEFT is simply an intermediate step in this endeavour. I will provide the particle physics community with an open-source software that will interface with the output of global SMEFT fits and indicate which heavy particles are disfavoured by the data and which are still viable.
The combination of my expertise in SMEFT analyses and collider phenomenology, along with the host institute's proficiency in advanced statistical methods, flavour physics, and UV matching, provides an ideal setting to successfully execute the proposed tasks and significantly advance indirect searches.

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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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Coordinator

UNIVERSITAT DE VALENCIA
Net EU contribution

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.

€ 165 312,96
Address
AVENIDA BLASCO IBANEZ 13
46010 Valencia
Spain

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Region
Este Comunitat Valenciana Valencia/València
Activity type
Higher or Secondary Education Establishments
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Total cost

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