26–30 Jul 2021
Shangshan Hotel, Building 9
Asia/Shanghai timezone

Probing critical fluctuations with deep learning in relativistic heavy-ion collisions

Not scheduled
15m
Conference Hall (Shangshan Hotel, Building 9)

Conference Hall

Shangshan Hotel, Building 9

33 Changlingnan Road, Guanshan Lake District, Guiyang, China

Speaker

Mr Yige Huang (CCNU)

Description

Systems with different interaction Hamiltonian develop the same critical behaviour. Using this universality, we are able to encode critical fluctuations into the data of heavy ion collisions. Weak signals of a few inter-particle correlations hide within a large particle cloud. The task is as difficult as looking for needles in a haystack. Employing a point cloud network with dynamical edge convolution, we are able to identify events with critical fluctuations through supervised learning, and pick signal particles used for decision-making in each single event.
Topics Other related physics

Primary author

Mr Yige Huang (CCNU)

Co-authors

LongGang Pang (Central China Normal University) Dr Xiaofeng Luo (Central China Normal University)

Presentation materials

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