Speakers
Stefano Giagu
(Sapienza Universita e INFN, Roma I (IT))
luca torresi
Description
Tau lepton physic plays an important role in the research programme at future e+e- experiments. To fully exploit the physics potential of machine and experiments, and for a cost-effective detector design, it is important to to implement from start advanced Machine Learning methods in the development of the detector. With this respect we report here on an ongoing study on τ-identification (leptonic and hadronic tau decays, and jets from QCD) in the IDEA dual-readout calorimeter concept, using modern machine learning methods based on differentiable deep neural networks (Convolutional-NN and Graph-NN).
| Time Zone | Europe/Africa/Middle East |
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Primary authors
Stefano Giagu
(Sapienza Universita e INFN, Roma I (IT))
luca torresi
