Conference Paper/Proceeding/Abstract 546 views 45 downloads
Meson thermal masses at different temperatures
Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021), Volume: 396
Swansea University Authors: Sergio Chaves Garcia-Mascaraque, Gert Aarts , Chris Allton , Timothy Burns
-
PDF | Version of Record
© 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)
Download (373.22KB)
DOI (Published version): 10.22323/1.396.0523
Abstract
We determine the ground state meson masses at low temperature using simulations with 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 therestoration of SU(...
Published in: | Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021) |
---|---|
ISSN: | 1824-8039 |
Published: |
Trieste, Italy
Sissa Medialab
2022
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa61689 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract: |
We determine the ground state meson masses at low temperature using simulations with 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 therestoration of SU(2)A chiral symmetry. We use the FASTSUM anisotropic, fixed-scale Generation2L ensembles and consider mesons with light, strange and charm content. |
---|---|
Item Description: |
Oral presentation |
College: |
Faculty of Science and Engineering |
Funders: |
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. |