2018
DOI: 10.1088/1742-6596/1024/1/012028
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Systematic errors in transport calculations of shear viscosity using the Green-Kubo formalism

Abstract: The purpose of this study is to provide a reproducible framework in the use of the Green-Kubo formalism to extract transport coefficients. More specifically, in the case of shear viscosity, we investigate the limitations and technical details of fitting the auto-correlation function to a decaying exponential. This fitting procedure is found to be applicable for systems interacting both through constant and energy-dependent cross-sections, although this is only true for sufficiently dilute systems in the latter… Show more

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Cited by 6 publications
(10 citation statements)
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“…A possible direction could be to explore denser systems beyond the exponential ansatz. Incidentally, the numerical time integration of the current-current correlation function is difficult to perform due to the huge uncertainties at large times [21].…”
Section: Discussionmentioning
confidence: 99%
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“…A possible direction could be to explore denser systems beyond the exponential ansatz. Incidentally, the numerical time integration of the current-current correlation function is difficult to perform due to the huge uncertainties at large times [21].…”
Section: Discussionmentioning
confidence: 99%
“…The full phase space information of every particle in every time step is given by the SMASH output. As previously discussed in [21] there are different ways to extract the transport coefficient from the correlation function. In this work we choose to fit the average correlation function [see Eq.…”
Section: Methodsmentioning
confidence: 99%
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“…So far it has been tested against exact solutions of Boltzmann equation [6], served as a basis to implement "thermal bubbles" model, where forced thermalization is performed wherever the energy density is high enough [7], used to compute the viscosity of a hadron gas [8] and to study dilepton production [9]. Most of the well-established hadronic resonances published by the Particle Data Group [10] with masses up to 2.5 GeV are implemented in SMASH.…”
Section: Model Descriptionmentioning
confidence: 99%