Name: High Energy Nuclear Physics School for Young Physicists 2022 - Basics of high-energy nuclear physics and machine learning
Start: 2022-11-19T03:00:00+09:00
End: 2022-11-20T18:00:00+09:00
Location: Inha University, Building 2

High Energy Nuclear Physics School for Young Physicists 2022 - Basics of high-energy nuclear physics and machine learning

from Saturday, 19 November 2022 (03:00) to Sunday, 20 November 2022 (18:00)

Monday, 14 November 2022
Tuesday, 15 November 2022
Wednesday, 16 November 2022
Thursday, 17 November 2022
Friday, 18 November 2022
Saturday, 19 November 2022
10:00
10:00 - 11:30
Contributions

10:00 Ultra-Relativistic Heavy-Ion Physics: Introduction and global properties of the Quark-Gluon Plasma (QGP) - Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
11:30

11:30 - 12:00
12:00
12:00 - 13:30
Contributions

12:00 Ultra-Relativistic Heavy-Ion Physics: Strangeness, the statistical model, space-time evolution of the QGP - Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
13:30

13:30 - 14:30
14:30
14:30 - 16:00
Contributions

14:30 Monte Carlo simulation for the medium response of quarkonia in heavy-ion collisions - Sanghoon Lim (Pusan National University)
16:00

16:00 - 16:30
16:30
16:30 - 18:00
Contributions

16:30 Jets in heavy-ion collisions - Saehanseul Oh (Sejong University)
18:00

18:00 - 20:30
Sunday, 20 November 2022
10:00
10:00 - 11:30
Contributions

10:00 Ultra-Relativistic Heavy-Ion Physics: hard probes (heavy flavour), energy loss - Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
11:30

11:30 - 12:00
12:00
12:00 - 13:30
Contributions

12:00 Ultra-Relativistic Heavy-Ion Physics: quarkonium states (J/ψ, ...) , small collision systems and the Future - Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
13:30

13:30 - 14:30
14:30
14:30 - 15:30
Contributions

14:30 Classification and Perceptron - Hyejin Park (Inha University)
15:30

15:30 - 16:00
16:00
16:00 - 17:30
Contributions

16:00 Machine Learning in the real world - Kunsu Oh