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
Timetable
Contribution List
List of participants
Data Protection
- FBK Policy
MATERIALS
Videos and notes
Details and scheduling

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)

There are no materials yet.

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