Conserved energy–momentum tensor for real-time lattice simulations
Boguslavski, K., Lappi, T., Peuron, J., & Singh, P. (2024). Conserved energy–momentum tensor for real-time lattice simulations. European Physical Journal C, 84(4), Article 368. https://doi.org/10.1140/epjc/s10052-024-12725-6
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European Physical Journal CDate
2024Copyright
© The Author(s) 2024
We derive an expression for the energy–momentum tensor in the discrete lattice formulation of pure glue QCD. The resulting expression satisfies the continuity equation for energy conservation up to numerical errors with a symmetric procedure for the time discretization. In the case of the momentum conservation equation, we obtain an expression that is of higher accuracy in lattice spacing (O(a2)) than the naive discretization where fields in the continuum expressions are replaced by discretized counterparts. The improvements are verified by performing numerical tests on the derived expressions using classical real-time lattice gauge theory simulations. We demonstrate substantial reductions in relative error of one to several orders of magnitude compared to a naive discretization for both energy and momentum conservation equations. We expect our formulation to have applications in the area of pre-equilibrium dynamics in ultrarelativistic heavy ion collisions, in particular for the extraction of transport coefficients such as shear viscosity.
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Springer Science and Business Media LLCISSN Search the Publication Forum
1434-6044Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/213421571
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Related funder(s)
Research Council of Finland; European CommissionFunding program(s)
Centre of Excellence, AoF; Academy Project, AoF; ERC Advanced Grant; RIA Research and Innovation Action, H2020
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
This work is supported by the European Research Council, ERC-2018-ADG-835105 YoctoLHC. This work was also supported by the European Union’s Horizon 2020 research and innovation by the STRONG-2020 project (grant agreement No. 824093). TL, JP, and PS have been supported by the Academy of Finland, by the Centre of Excellence in QuarkMatter (project 346324), and project 321840. KB would like to thank the Austrian Science Fund (FWF) for support under project P 34455. The authors wish to acknowledge the Vienna Scientific Cluster (VSC) under project 71444 and the CSC-IT Center for Science Finland, for computational resources on the supercomputer Puhti. ...License
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