Machine Learning for Detector R&D

by Prof. Fedor Ratnikov (National Research University - Moscow)

Tuesday 12 Oct 2021, 14:00 → 15:00 Europe/Rome

1/1-2 - Aula "C. Voci" (Dipartimento di Fisica e Astronomia - Edificio Marzolo)

The use of advanced machine learning techniques to speed up and improve the precision of the detector development and optimization cycle, with an emphasis on the experience and practical results obtained by applying this approach to optimizing the electromagnetic calorimeter design as a part of the upgrade project for the LHCb detector at LHC will be discussed.

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Zoom link: https://cern.zoom.us/j/64604705321?pwd=SnZXRy9ndXBsYVNSaGgyam9BOXd2Zz09