News from bottomonium spectral functions in thermal QCD

Sam Offler*, Gert Aarts, Chris Allton, Jonas Glesaaen, Benjamin Jäger, Seyong Kim, Maria Paola Lombardo, Sinead M. Ryan, Jon Ivar Skullerud


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New results on bottomonium at nonzero temperature are presented, using the FASTSUM Generation 2L ensembles. Preliminary results for spectral function reconstruction using Kernel Ridge Regression, a machine learning technique, are shown as well and compared to results from the Maximum Entropy Method.

TidsskriftProceedings of Science
Antal sider7
StatusUdgivet - aug. 2020
Begivenhed37th International Symposium on Lattice Field Theory, LATTICE 2019 - Wuhan, Kina
Varighed: 16. jun. 201922. jun. 2019


Konference37th International Symposium on Lattice Field Theory, LATTICE 2019

Bibliografisk note

Funding Information:
Acknowledgments. We are grateful for support from STFC via grants ST/L000369/1 and ST/P00-055X/1, the Swansea Academy for Advanced Computing, SNF, ICHEC, COST Action CA15213

Funding Information:
THOR, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 813942. Computing resources were made available by HPC Wales, Supercomputing Wales, and PRACE via access to the Marconi-KNL system hosted by CINECA, Italy. This work used the DiRAC Extreme Scaling service and the DiRAC Blue Gene Q Shared Petaflop system at the University of Edinburgh, operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility. This equipment was funded by by BIS National E-infrastructure capital grant ST/K000411/1, STFC capital grant ST/H008845/1, and STFC DiRAC Operations grants ST/K005804/1 and ST/K005790/1, and also through BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure.

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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