Thermal noise in non-boost-invariant dissipative hydrodynamics

Chandrodoy Chattopadhyay and Subrata Pal
Phys. Rev. C 98, 034911 – Published 17 September 2018

Abstract

We study the effects of hydrodynamic fluctuations in non-boost-invariant longitudinal expansion of matter formed in relativistic heavy ion collisions. We formulate the theory of thermal noise within second-order viscous hydrodynamics treating noise as a perturbation on top of the non-boost-invariant flow. We develop a numerical simulation model to treat the (1+1)-dimension hydrodynamic evolution. The code is tested to reproduce the analytic results for the Riemann solver for expansion of matter in vacuum. For viscous hydrodynamic expansion, the initial energy density distribution are obtained by reproducing the measured charged hadron rapidity distribution at the RHIC energies. We show that the longitudinal rapidity correlations arising from space-time-dependent thermal noise and from an induced thermal perturbation have distinct structures. In general, the rapidity correlations are found to be dominated by temperature fluctuations at small rapidity separation and velocity fluctuations at large rapidities. We demonstrate that thermal noise produce ridgelike two-particle rapidity correlations which persist at moderately large rapidities. The magnitude and pattern of the correlations are quite sensitive to various second-order dissipative formalisms and to the underlying equations of state, especially at large rapidities. The short-range part of the rapidity correlation is found to be somewhat enhanced as compared to that in boost-invariant flow of matter.

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  • Received 11 July 2018

DOI:https://doi.org/10.1103/PhysRevC.98.034911

©2018 American Physical Society

Physics Subject Headings (PhySH)

Nuclear PhysicsFluid Dynamics

Authors & Affiliations

Chandrodoy Chattopadhyay and Subrata Pal

  • Department of Nuclear and Atomic Physics, Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai 400005, India

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Issue

Vol. 98, Iss. 3 — September 2018

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