Meson thermal masses at different temperatures

Sergio Chaves García-Mascaraque*, Gert Aarts, Chris Allton, Timothy Burns, Simon Hands, Benjamin Jäger

*Kontaktforfatter

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Abstract

We determine the ground state meson masses at low temperature using simulations with Nf = 2+1 flavours of improved Wilson-clover fermions. Subsequently we study the effect of increasing the temperature of the hadron gas, including the transition to the quark-gluon plasma, as well as the restoration of SU(2)A chiral symmetry. We use the FASTSUM anisotropic, fixed-scale Generation 2L ensembles and consider mesons with light, strange and charm content.

OriginalsprogEngelsk
Artikelnummer523
TidsskriftProceedings of Science
Vol/bind396
ISSN1824-8039
DOI
StatusUdgivet - 8. jul. 2022
Begivenhed38th International Symposium on Lattice Field Theory, LATTICE 2021 - Virtual, Online, USA
Varighed: 26. jul. 202130. jul. 2021

Konference

Konference38th International Symposium on Lattice Field Theory, LATTICE 2021
Land/OmrådeUSA
ByVirtual, Online
Periode26/07/202130/07/2021

Bibliografisk note

Funding Information:
This work is supported by the UKRI Science and Technology Facilities Council (STFC) Consolidated Grant No. ST/P00055X/1 and ST/T000813/1. We are grateful to DiRAC, PRACE and Supercomputing Wales for the use of their computing resources and to the Swansea Academy for Advanced Computing for support. This work was performed using the PRACE Marconi-KNL resources hosted by CINECA, Italy and the DiRAC Extreme Scaling service and Blue Gene Q Shared Petaflop system at the University of Edinburgh operated by the Edinburgh Parallel Computing Centre. The DiRAC equipment is part of the UK's National e-Infrastructure and was funded by UK's BIS National e-infrastructure capital grant ST/K000411/1, STFC capital grants ST/H008845/1 and ST/R00238X/1, and STFC DiRAC Operations grants ST/K005804/1, ST/K005790/1 and ST/R001006/1.

Funding Information:
Acknowledgements – This work is supported by the UKRI Science and Technology Facilities Council (STFC) Consolidated Grant No. ST/P00055X/1 and ST/T000813/1. We are grateful to DiRAC, PRACE and Supercomputing Wales for the use of their computing resources and to the Swansea Academy for Advanced Computing for support. This work was performed using the PRACE Marconi-KNL resources hosted by CINECA, Italy and the DiRAC Extreme Scaling service and Blue Gene Q Shared Petaflop system at the University of Edinburgh operated by the Edinburgh Parallel Computing Centre. The DiRAC equipment is part of the UK’s National e-Infrastructure and was funded by UK’s BIS National e-infrastructure capital grant ST/K000411/1, STFC capital grants ST/H008845/1 and ST/R00238X/1, and STFC DiRAC Operations grants ST/K005804/1, ST/K005790/1 and ST/R001006/1.

Publisher Copyright:
© Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

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