· Current postion: Home >> Academic Activities >> IOPP Forum >> Content
IOPP Forum:Dr. Longgang Pang 10:00 am, May 11, Thursday, 2017

IOPP Forum:Dr. Longgang Pang 10:00 am, May 11, Thursday, 2017

Time: 10:00 am, May 11, Thursday, 2017

Location: Room 9409

Speaker:Dr. Longgang Pang, Lawrence Berkeley National Laboratory

Title:An EoS-meter of QCD transition from deep learning

Abstract:Supervised learning with a deep convolutional neural network is used to identify the QCD equation of state (EoS) employed in relativistic hydrodynamic simulations of heavy-ion collisions. The final-state particle spectra ρ(pT,Φ)provide directly accessible information from experiments. High-level correlations of ρ(pT,Φ)learned by the neural network act as an "EoS-meter", effective in detecting the nature of the QCD transition. The EoS-meter is model independent and insensitive to other simulation input, especially the initial conditions. Thus it provides a formidable direct-connection of heavy-ion collision observable with the bulk properties of QCD.

Previous:IOPP Forum: Charlotte Elster from Ohio University, May 22 (Tuesday), 2:30pm, 2018
Next:IOPP Seminar: Dr.Jin-Feng Liao 2:30 pm, May 3,Wednesday, 2017

Institute of Particle Phisics;

Luoyu road 152#, Wuhan,China;

9 Buliding, 4th floor;

Contact US

Publications Representative Achievements
Awards International-Helmholtz
HENPIC Thousand Talents program
IOPP FORUM Cooperative Project
International -Berkeley Lab