Plasmon mass scale and quantum fluctuations of classical fields on a real time lattice

Abstract
Classical real-time lattice simulations play an important role in understanding non-equilibrium phenomena in gauge theories and are used in particular to model the prethermal evolution of heavy-ion collisions. Above the Debye scale the classical Yang-Mills (CYM) theory can be matched smoothly to kinetic theory. First we study the limits of the quasiparticle picture of the CYM fields by determining the plasmon mass of the system using 3 different methods. Then we argue that one needs a numerical calculation of a system of classical gauge fields and small linearized fluctuations, which correspond to quantum fluctuations, in a way that keeps the separation between the two manifest. We demonstrate and test an implementation of an algorithm with the linearized fluctuation showing that the linearization indeed works and that the Gauss’s law is conserved.
Main Authors
Format
Conferences Conference paper
Published
2018
Series
Subjects
Publication in research information system
Publisher
EDP Sciences
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201803271859Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
2101-6275
DOI
https://doi.org/10.1051/epjconf/201817511001
Conference
International Symposium on Lattice Field Theory
Language
English
Published in
EPJ Web of Conferences
Is part of publication
Lattice 2017 : Proceedings of the 35th International Symposium on Lattice Field Theory
Citation
  • Kurkela, A., Lappi, T., & Peuron, J. (2018). Plasmon mass scale and quantum fluctuations of classical fields on a real time lattice. In M. D. Morte, P. Fritzsch, E. G. Sánchez, & C. P. Ruano (Eds.), Lattice 2017 : Proceedings of the 35th International Symposium on Lattice Field Theory (Article 11001). EDP Sciences. EPJ Web of Conferences, 175. https://doi.org/10.1051/epjconf/201817511001
License
Open Access
Funder(s)
Academy of Finland
European Commission
Academy of Finland
Funding program(s)
Akatemiatutkija, SA
ERC European Research Council, H2020
Akatemiatutkijan tutkimuskulut, SA
Academy Research Fellow, AoF
ERC European Research Council, H2020
Research costs of Academy Research Fellow, AoF
Academy of FinlandEuropean CommissionEuropean research council
Additional information about funding
This work has been supported by the Academy of Finland, projects 267321 and 303756, by the European Research Council, Grant ERC-2015-CoG-681707. J.P. is supported by the Jenny and Antti Wihuri Foundation. We acknowledge CSC – IT Center for Science, Finland, for computational resources.
Copyright© The Authors, published by EDP Sciences. 2018. This is an open access article distributed under the terms of the Creative Commons License.

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