PHQMD simulations with momentum-dependent potentials show that a soft momentum-dependent EoS calibrated to pA data reproduces experimental proton and cluster flows at midrapidity better than static EoS variants, while cluster formation method affects flow patterns.
Reconstructing azimuthal distributions in nucleus-nucleus collisions
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abstract
Azimuthal distributions of particles produced in nucleus-nucleus collisions are measured with respect to an estimated reaction plane which, because of finite multiplicity fluctuations, differs in general from the true reaction plane. It follows that the measured distributions do not coincide with the true ones. I propose a general method of reconstructing the Fourier coefficients of the true azimuthal distributions from the measured ones. This analysis suggests that the Fourier coefficients are the best observables to characterize azimuthal anisotropies because, unlike other observables such as the in-plane anisotropy ratio or the squeeze-out ratio, they can be reconstructed accurately.
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Systematic study of flow of protons and light clusters in intermediate-energy heavy-ion collisions with momentum-dependent potentials
PHQMD simulations with momentum-dependent potentials show that a soft momentum-dependent EoS calibrated to pA data reproduces experimental proton and cluster flows at midrapidity better than static EoS variants, while cluster formation method affects flow patterns.