Francesco Maria Follega
Andrea Di Luca
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We are active on different sides of particle physics research.
Higgs boson analysis @LHC
Since the discovery of the Higgs boson in 2012, A lot of efforts were done to measure its properties. Within the ATLAS experiment, we study the properties of the decay of the Higgs boson to a couple of b-quarks.
deep learning explainability
Understanding how the output of a Deep Neural Network outputs is evaluated for a certain input set helps to detect bias and reduce systematic uncertanties.
Deep Neural networks can be used at trigger level in High Energy Physics experiments to discriminate interesting events. This represent a challenging task since the inference should be fast enough to process large amount of data at a very high rate.
Deep learning for space Experiments
Deep learning algorithms have gained importance in astroparticle physics in the last years. They are implied in the most modern experiments for particle identification, tracking and energy reconstruction
Find out about latest deepPP activity and about a selection of recent advancements in High Energy Physics and Machine learning.