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We investigate the effect of hydrodynamic fluctuations on the rapidity decorrelations of anisotropic flow in high-energy nuclear collisions using a (3+1)-dimensional integrated dynamical model. The integrated dynamical model consists of twisted initial conditions, fluctuating hydrodynamics, and hadronic cascades on an event-by-event basis. To understand the rapidity decorrelation, we analyze the factorization ratio in the longitudinal direction. Comparing the factorization ratios between fluctuating hydrodynamics and ordinary viscous hydrodynamics, we find a sizable effect of hydrodynamic fluctuations on rapidity decorrelations. We also propose to calculate the Legendre coefficients of the flow magnitude and the event-plane angle to understand the decorrelation of anisotropic flow in the longitudinal direction.

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Rapidity decorrelation in high energy heavy-ion collisions is one of the hot topics in understanding longitudinal dynamics of the quark gluon plasma (QGP). In this study we employ an integrated dynamical model with full three dimensional relativistic hydrodynamics and perform event-by-event numerical simulations of Pb+Pb collisions at the LHC energy. We analyze factorization ratios to understand rapidity decorrelation from hydrodynamic fluctuations and initial longitudinal fluctuations. We show that factorization breaking happens due to both hydrodynamic fluctuations and initial longitudinal fluctuations. We conclude hydrodynamic fluctuations and initial longitudinal fluctuations are both important in understanding rapidity decorrelation.

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The rapidity decorrelation is interesting phenomena in understanding the longitudinal dynamics of the quark gluon plasma (QGP) produced in the intermediate stage of high-energy nuclear collisions. We analyze the rapidity decorrelation to understand the longitudinal dynamics of the QGP. We employ an integrated dynamical model with hydrodynamic fluctuations and initial longitudinal fluctuations to perform event-by-event numerical simulations of Pb+Pb collisions at the LHC energy. Including both fluctuations, we reproduce centrality dependence of rapidity decorrelation measured by CMS collaboration. We conclude hydrodynamic fluctuations and initial longitudinal fluctuations are both important to understand the centrality dependence of rapidity decorrelation.