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  1. Article

    Bayesian analysis of nuclear equation of state at high baryon density

    Long-Gang Pang, **n-Nian Wang in Nuclear Science and Techniques (2023)

  2. Article

    Open Access

    Deep learning assisted jet tomography for the study of Mach cones in QGP

    Mach cones are expected to form in the expanding quark-gluon plasma (QGP) when energetic quarks and gluons traverse the hot medium at a velocity faster than the speed of sound in high-energy heavy-ion collisio...

    Zhong Yang, Yayun He, Wei Chen, Wei-Yao Ke in The European Physical Journal C (2023)

  3. Article

    Open Access

    High-energy nuclear physics meets machine learning

    Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML) have begun to merge in the last few years, yielding interesting results. It is worthy to raise the profile of utilizin...

    Wan-Bing He, Yu-Gang Ma, Long-Gang Pang, Hui-Chao Song in Nuclear Science and Techniques (2023)

  4. Article

    Open Access

    Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning

    Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion collisions that combines a viscous...

    Yi-Lun Du, Kai Zhou, Jan Steinheimer, Long-Gang Pang in The European Physical Journal C (2020)

  5. No Access

    Chapter and Conference Paper

    Light Nuclei Production in Ultra-Relativistic Heavy Ion Collisions

    We briefly overview the motivations of recent studies of light  production in ultra-relativistic heavy ion : anti-nuclei in space, and search for the critical point of the strongly-interacting matter. Then w...

    Dmytro Oliinychenko, Long-Gang Pang in The XVIII International Conference on Stra… (2020)

  6. Article

    Open Access

    A machine learning study to identify spinodal clum** in high energy nuclear collisions

    The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are investigated using state-of-the...

    Jan Steinheimer, Long-Gang Pang, Kai Zhou, Volker Koch in Journal of High Energy Physics (2019)

  7. Article

    Open Access

    An equation-of-state-meter of quantum chromodynamics transition from deep learning

    A primordial state of matter consisting of free quarks and gluons that existed in the early universe a few microseconds after the Big Bang is also expected to form in high-energy heavy-ion collisions. Determin...

    Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker in Nature Communications (2018)

  8. No Access

    Article

    Decorrelation of anisotropic flow along the longitudinal direction

    The initial energy density distribution and fluctuations in the transverse direction lead to anisotropic flow of final hadrons through collective expansion in high-energy heavy-ion collisions. Fluctuations alo...

    Long-Gang Pang, Hannah Petersen, Guang-You Qin in The European Physical Journal A (2016)

  9. No Access

    Article

    Physics perspectives of heavy-ion collisions at very high energy

    Heavy-ion collisions at very high colliding energies are expected to produce a quark-gluon plasma (QGP) at the highest temperature obtainable in a laboratory setting. Experimental studies of these reactions ca...

    Ning-bo Chang, ShanShan Cao, Bao-yi Chen in Science China Physics, Mechanics & Astrono… (2016)