CORDIS Project
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This project develops strategies to enhance the understanding of new physics through the Standard Model Effective Field Theory. It aims to incorporate machine learning techniques to improve data analysis and identify heavy particles affecting known interactions.
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…
UNIVERSITAT DE VALENCIA
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