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Accelerated Real-TimE Machine learning for Investigating the higgs Sector

CORDIS · observation · Publication date unknown

Accelerated Real-TimE Machine learning for Investigating the higgs Sector The discovery of the Higgs boson marked a milestone in particle physics, but crucial questions about how the Higgs boson interacts with itself and with heavy bosons remain unanswered. These interactions hold the key to understanding fundamental aspects of our universe, from particle mass generation to the nature of the cosmic phase transition in the early universe. Current measurements at the Large Hadron Collider (LHC) can only place weak constraints on these interactions due to significant limitations in our ability to identify and record the relevant collision events in real-time. This project introduces a revolutionary approach to overcome these limitations by developing advanced machine learning techniques for real-time event selection in particle physics experiments. The current approach discards up 50\% of potentially valuable co

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recordType

award

status

SIGNED

region

EU

value

1995312

unit

EUR