CFNS Seminar

"Machine learning for QCD equation of state"

Presented by Long Pang, LBNL

Thursday, September 13, 2018, 4:00 pm — Building 510, CFNS Seminar Room 2-38

Large volume of strongly interacting quark gluon plasma (QGP) might exist in the early universe, in the deep core of neutron stars, during the black hole formation through neutron star mergers or from relativistic heavy ion collisions. The beam energy scan project at RHIC provides a unique opportunity to study the equation of state and phase transitions of strongly interacting nuclear matter, from big data. Given the QCD equation of state, relativistic hydrodynamic simulations describe the momentum distribution of soft particles at RHIC and LHC pretty well. I will discuss how to constrain the QCD equation of state given the final state particle spectra, using Bayesian analysis and deep convolution neural network.

Hosted by: Andrey Tarasov

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