Speaker
Description
Ultra-relativistic heavy-ion collisions are currently best
understood via complex, multi-staged hybrid hydrodynamic
simulations. Recently, the potentially large parameter space
associated with these simulations started to being constrained
by means of Bayesian analysis that considered only data measured
at typical centralities. A decade-old long puzzle is the failure
of any simulation model to describe experimental flow data in
extremely central collisions. We study whether multiple
state-of-the-art Bayesian constrained models [1-4] display the
same pathologies --- either an elliptic flow that is too large or
triangular flow that is too small, or both --- seen in older
simulations and find that while the overall description of the
ultra-central anisotropic flow data is better compared to previous
results, the tension with data still exists as one goes to ultra-central
collisions. We speculate on ways that the puzzle could be solved
in the future.
[1] D. Everett et al. [JETSCAPE], Phys. Rev. Lett. 126, no.24, 242301 (2021);
Phys. Rev. C 103, no.5, 054904 (2021)
[2] J. S. Moreland, J. E. Bernhard and S. A. Bass, Phys. Rev. C 101, no.2, 024911 (2020)
[3] G. Nijs, W. van der Schee, U. Gürsoy and R. Snellings, Phys. Rev. C 103, no.5, 054909 (2021);
Phys. Rev. Lett. 126, no.20, 202301 (2021)
[4] G. Nijs and W. van der Schee, arXiv:2110.13153 [nucl-th]
