2022 RHIC/AGS Annual Users' Meeting

Session

Accelerating RHIC Science with Machine Learning

7 Jun 2022, 15:00

Conveners

Accelerating RHIC Science with Machine Learning

• Meifeng Lin (Brookhaven National Laboratory)
• Jin Huang (Brookhaven National Lab)
• Raghav Kunnawalkam Elayavalli (Yale University and BNL)

Contribution list Timetable

136. Introduction

Jin Huang (Brookhaven National Lab)

07/06/2022, 15:00

137. Deep learning for high energy nuclear physics from theoretical perspective

Prof. Longgang Pang (CCNU)

07/06/2022, 15:05

138. Machine Learning based fast data processing and autonomous trigger for sPHENIX and EIC detectors

Dr Yasser Corrales Morales (LANL)

07/06/2022, 15:35

139. Machine Learning techniques in lattice QCD

Denis Boyda (Argonne National Laboratory)

07/06/2022, 16:15

140. Machine Learning in Experiment and Analysis

Daniel Brandenburg (Brookhaven National Laboratory), James Daniel Brandenburg (Brookhaven National Laboratory)

07/06/2022, 16:45

141. Panel discussion

Denis Boyda (Argonne National Laboratory), James Daniel Brandenburg (Brookhaven National Laboratory), LongGang Pang (Department of physics, UC Berkeley), Raghav Kunnawalkam Elayavalli (Yale University and BNL), Yasser Corrales Morales (LANL), Yihui Ren

07/06/2022, 17:15