Hadronic observables from master-field simulations

Marco Cè; Mattia Bruno; John Bulava; Anthony Francis; Patrick Fritzsch; Jeremy R. Green; Maxwell T. Hansen; Antonio Rago

doi:10.22323/1.430.0052

Hadronic observables from master-field simulations

Marco Cè^*
, Mattia Bruno
, John Bulava
, Anthony Francis
, Patrick Fritzsch
, Jeremy R. Green
, Maxwell T. Hansen
, Antonio Rago

^*Corresponding author for this work

University of Bern
University of Milano-Bicocca
Deutsches Elektronen-Synchrotron
National Chiao Tung University
Trinity College Dublin
The University of Edinburgh
CERN

Research output: Contribution to journal › Conference article › Research › peer-review

44 Downloads (Pure)

Abstract

Substantial progress has been made recently in the generation of master-field ensembles. This has to be paired with efficient techniques to compute observables on gauge field configurations with a large volume. Here we present the results of the computation of hadronic observables, including hadron masses and meson decay constants, on large-volume and master-field ensembles with physical volumes of up to (18 fm)⁴ and m_πL up to 25, simulated using N_f = 2 + 1 stabilized Wilson fermions. We obtain sub-percent determinations from single gauge configurations with the combined use of position-space techniques, volume averages and master-field error estimation.

Original language	English
Article number	052
Journal	Proceedings of Science
Volume	430
Number of pages	10
ISSN	1824-8039
DOIs	https://doi.org/10.22323/1.430.0052
Publication status	Published - 6. Apr 2023
Event	39th International Symposium on Lattice Field Theory, LATTICE 2022 - Bonn, Germany Duration: 8. Aug 2022 → 13. Aug 2022

Conference

Conference	39th International Symposium on Lattice Field Theory, LATTICE 2022
Country/Territory	Germany
City	Bonn
Period	08/08/2022 → 13/08/2022

Funding

Acknowledgements: The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many simulations were performed on a dedicated HPC cluster at CERN. We gratefully acknowledge the computer resources and the technical support provided by these institutions.

Documents & Links

10.22323/1.430.0052Licence: CC BY-NC-ND

Open Access VersionFinal published version, 1.24 MBLicence: CC BY-NC-ND

SDU Link

Check access to the material in SDU Library's search engine

Cite this

@inproceedings{a06f038f6e9943f4b08c7c121b1834d0,

title = "Hadronic observables from master-field simulations",

abstract = "Substantial progress has been made recently in the generation of master-field ensembles. This has to be paired with efficient techniques to compute observables on gauge field configurations with a large volume. Here we present the results of the computation of hadronic observables, including hadron masses and meson decay constants, on large-volume and master-field ensembles with physical volumes of up to (18 fm)4 and mπL up to 25, simulated using Nf = 2 + 1 stabilized Wilson fermions. We obtain sub-percent determinations from single gauge configurations with the combined use of position-space techniques, volume averages and master-field error estimation.",

author = "Marco C{\`e} and Mattia Bruno and John Bulava and Anthony Francis and Patrick Fritzsch and Green, \{Jeremy R.\} and Hansen, \{Maxwell T.\} and Antonio Rago",

note = "Funding Information: Acknowledgements: The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many Funding Information: The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many simulations were performed on a dedicated HPC cluster at CERN. We gratefully acknowledge the computer resources and the technical support provided by these institutions. Publisher Copyright: {\textcopyright} 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).; 39th International Symposium on Lattice Field Theory, LATTICE 2022 ; Conference date: 08-08-2022 Through 13-08-2022",

year = "2023",

month = apr,

day = "6",

doi = "10.22323/1.430.0052",

language = "English",

volume = "430",

journal = "Proceedings of Science",

issn = "1824-8039",

publisher = "SISSA",

}

TY - GEN

T1 - Hadronic observables from master-field simulations

AU - Cè, Marco

AU - Bruno, Mattia

AU - Bulava, John

AU - Francis, Anthony

AU - Fritzsch, Patrick

AU - Green, Jeremy R.

AU - Hansen, Maxwell T.

AU - Rago, Antonio

N1 - Funding Information: Acknowledgements: The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many Funding Information: The research of MB is funded through the MUR program for young researchers “Rita Levi Montalcini”. AF acknowledges support by the Ministry of Science and Technology Taiwan (MOST) under grant 111-2112-M-A49-018-MY2. JRG acknowledges support from the Simons Foundation through the Simons Bridge for Postdoctoral Fellowships scheme. MTH is supported by UKRI Future Leader Fellowship MR/T019956/1 and in part by UK STFC grant ST/P000630/1. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. We acknowledge PRACE for awarding us access to SuperMUC-NG at GCS@LRZ, Germany, where some computations were performed Many simulations were performed on a dedicated HPC cluster at CERN. We gratefully acknowledge the computer resources and the technical support provided by these institutions. 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).

PY - 2023/4/6

Y1 - 2023/4/6

N2 - Substantial progress has been made recently in the generation of master-field ensembles. This has to be paired with efficient techniques to compute observables on gauge field configurations with a large volume. Here we present the results of the computation of hadronic observables, including hadron masses and meson decay constants, on large-volume and master-field ensembles with physical volumes of up to (18 fm)4 and mπL up to 25, simulated using Nf = 2 + 1 stabilized Wilson fermions. We obtain sub-percent determinations from single gauge configurations with the combined use of position-space techniques, volume averages and master-field error estimation.

AB - Substantial progress has been made recently in the generation of master-field ensembles. This has to be paired with efficient techniques to compute observables on gauge field configurations with a large volume. Here we present the results of the computation of hadronic observables, including hadron masses and meson decay constants, on large-volume and master-field ensembles with physical volumes of up to (18 fm)4 and mπL up to 25, simulated using Nf = 2 + 1 stabilized Wilson fermions. We obtain sub-percent determinations from single gauge configurations with the combined use of position-space techniques, volume averages and master-field error estimation.

U2 - 10.22323/1.430.0052

DO - 10.22323/1.430.0052

M3 - Conference article

AN - SCOPUS:85144848640

SN - 1824-8039

VL - 430

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 052

T2 - 39th International Symposium on Lattice Field Theory, LATTICE 2022

Y2 - 8 August 2022 through 13 August 2022

ER -

Hadronic observables from master-field simulations

Abstract

Conference

Funding

Documents & Links

SDU Link

Fingerprint

Cite this