Machine Learning Session
- Anna Stakia (National and Kapodistrian University of Athens (GR))
LHCb collaboration has been pioneering the employment of machine learning in real-time
computing, related to the high energy physic field (HEP), since 2015. The LHCb software trigger exploited a novel machine learning techniques based on binned boosted decision tree model that helped to select high-quality physics data in real-time. After that, a major modernisation of the algorithms for...
The LHC accelerator and experiments program have lead to rediscovering the Standard Model (SM) in the first months of data taking.
Machine learning techniques have been instrumental to the discovery of the Higgs boson in 2012, and have become crucial in the following era.
On one side precision measurements require precise calibrations, on the other searches for rare SM processes and for...