FI: MACHINE LEARNING IN HIGH ENERGY PHYSICS - TOMMASO BOCCALI
SEZIONE DI FIRENZE Human brain inspired techniques (Machine Learning or ML) are
flourishing in research environments, taking advantage of recent important
theoretical results, of the availability of specialised hardware and the needs
for novel solutions for the appearance of problems apparently intractable
with standard approaches. High Energy Physics is a field where ML has
been used as a promising and intensively exploited tool, with studies
performed at all levels of the activities, ranging from applications to data
acquisition to offline data analysis and allowing to optimize algorithms and
the use of resources, especially in the identification of events and physics
objects.
In order to illustrate the variety and richness of this established
research topic we start from a brief review of the landscape and its
evolution and continue presenting a number of selected applications and
R&D projects for both current and future HEP experiments.(Tommaso Boccali)
DATA: 10-12-2019
Istituto Nazionale di Fisica
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