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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.


下一篇:IOPP Seminar: Dr.Jin-Feng Liao 2:30 pm, May 3,Wednesday, 2017

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