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7 papers · 2 filters
Machine learning phase transitions of the three-dimensional Ising universality class
Xiaobing Li, Ranran Guo, Yu Zhou +5
Exploration of the QCD phase diagram and critical point is one of the main goals in current relativistic heavy-ion collisions. The QCD critical point is expected to belong to a thr…
Machine Learning in Nuclear Physics
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli +15
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics…
Intermittency analysis in relativistic heavy-ion collisions
Zhiming Li, Jin Wu
Local density fluctuations near the QCD critical point can be probed by an intermittency analysis of power-law behavior on scaled factorial moments in relativistic heavy-ion collis…
Vorticity and polarization in the microscopic transport model PACIAE
Anke Lei, Dujuan Wang, Dai-Mei zhou +2
We study the behavior of four types of vorticities in non-central Au+Au collisions at energies = 5--200 GeV using a microscopic transport model PACIAE. The results…
The sixth order cumulant of net-proton number in Binomial distribution at 200 GeV
Li-Zhu Chen, Ye-Yin Zhao, Jin Wu +2
It is proposed that ratios of the sixth order to the second order cumulant () of conserved quantities are sensitive to the chiral crossover transition. Recently, the negat…
Stiffening of matter in quark-hadron continuity
Toru Kojo
We discuss stiffening of matter in quark-hadron continuity. We introduce a model that relates quark wave functions in a baryon and the occupation probability of states for baryons…