Machine Learning applied to Nuclear Physics, Experiment and Theory

Name: Machine Learning applied to Nuclear Physics, Experiment and Theory
Start: 2021-07-19T08:00:00+02:00
End: 2021-07-30T18:00:00+02:00
Location: VIRTUAL

19–30 Jul 2021

VIRTUAL

Europe/Rome timezone

ECT* Talent 2021
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Secretariat - Barbara Gazzoli

gazzoli@ectstar.eu
+39 0461 314763

Discussion of nuclear experiments and how to analyze data, presentation of simulated data from Active-Target Time-Projection Chamber (AT-TPC)

28 Jul 2021, 14:00

VIRTUAL

Prof. Daniel Bazin (Michigan State University)

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Machine Learning applied to Nuclear Physics, Experiment and Theory

Secretariat - Barbara Gazzoli

Discussion of nuclear experiments and how to analyze data, presentation of simulated data from Active-Target Time-Projection Chamber (AT-TPC)

VIRTUAL

Speaker

Presentation materials

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Machine Learning applied to Nuclear Physics, Experiment and Theory

Secretariat - Barbara Gazzoli

Speaker

Presentation materials