Abstract
We are presenting our ongoing Lattice QCD study on B − B¯ mixing on several RBC/UKQCD and JLQCD ensembles with 2+1 dynamical-flavour domain-wall fermions, including physical-pion-mass ensembles. We are extracting bag parameters BBet and BBs using the full 5-mixing-operator basis to study both Standard-Model mixing as well as Beyond the Standard Model mixing, using a fully correlated combined fit to two-point functions and ratios of three-point and two-point functions. Using 15 different lattice ensembles we are simulating a range of heavy-quark masses from below the charm-quark mass to just below the bottom-quark mass.
Originalsprog | Engelsk |
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Artikelnummer | 224 |
Tidsskrift | Proceedings of Science |
Vol/bind | 396 |
ISSN | 1824-8039 |
DOI | |
Status | Udgivet - 8. jul. 2022 |
Begivenhed | 38th International Symposium on Lattice Field Theory, LATTICE 2021 - Virtual, Online, USA Varighed: 26. jul. 2021 → 30. jul. 2021 |
Konference
Konference | 38th International Symposium on Lattice Field Theory, LATTICE 2021 |
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Land/Område | USA |
By | Virtual, Online |
Periode | 26/07/2021 → 30/07/2021 |
Bibliografisk note
Funding Information:The authors thank the members of the RBC, UKQCD and JLQCD Collaborations for helpful discussions and suggestions. This work used the DiRAC Extreme Scaling service at the University of Edinburgh, operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC grants ST/R00238X/1 and ST/S002537/1 and STFC DiRAC Operations grantST/R001006/1. DiRAC is part of the National e-Infrastructure. F.E. and A.P. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 757646 & A.P. additionally by grant agreement 813942. This
Funding Information:
research in part used computational resources provided by Multidisciplinary Cooperative Research Program in Center for Computational Sciences, University of Tsukuba and by the HPCI System Research Project (Project ID: hp210146). The work of T.K. is supported in part by JSPS KAKENHI Grant Number 21H01085. A.J. is supported by STFC grant ST/T000775/1. The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 894103.
Publisher Copyright:
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