Published June 21, 2022 | Version v1.0.0
Dataset Open

Sp(2N) Yang-Mills theories on the lattice: scale setting and topology—data release

  • 1. Swansea Academy of Advanced Computing, Swansea University, Fabian Way, SA1 8EN Swansea, Wales, UK
  • 2. Department of Physics, Pusan National University, Busan 46241, Korea
  • 3. Department of Physics, Pusan National University, Busan 46241, Korea and 4Extreme Physics Institute, Pusan National University, Busan 46241, Korea
  • 4. Institute of Physics, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan and Center for High Energy Physics, Chung-Yuan Christian University, Chung-Li 32023, Taiwan and Centre for Theoretical and Computational Physics, National Yang Ming Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 30010, Taiwan and Physics Division, National Centre for Theoretical Sciences, Taipei 10617, Taiwan
  • 5. Department of Mathematics, Faculty of Science and Engineering, Swansea University, Fabian Way, SA1 8EN Swansea, Wales, UK and Swansea Academy of Advanced Computing, Swansea University, Fabian Way, SA1 8EN Swansea, Wales, UK
  • 6. Department of Physics, Faculty of Science and Engineering, Swansea University, Singleton Park, SA2 8PP, Swansea, Wales, UK
  • 7. School of Mathematics and Hamilton Mathematics Institute, Trinity College, Dublin 2, Ireland and Centre for Mathematical Sciences, University of Plymouth, Plymouth, PL4 8AA, United Kingdom

Description

This release contains all data and metadata used to prepare the publications Topological susceptibility in Yang-Mills theories and Sp(2N) Yang-Mills theories on the lattice: scale setting and topology.

Included are:

  • The raw log output from the Wilson flow computation, as well as metadata describing the ensembles used, in `raw_data.zip`. These include all numbers used in the publication (aside from fit parameters) in plaintext form. The archive contains a separate `README.md` describing the layout of the data.
  • All numbers included in the above logs, restructured into HDF5 format for convenience, in `datapackage.h5`.
  • The data presented in all tables in both papers, in CSV format, as described in more detail below.

Further details are given in the file README.md.

Notes

The work of EB has been funded in part by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1 The work of DKH was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460) and also by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701). The work of JWL is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379). The work of CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3. The work of BL and MP is supported in part by the STFC Consolidated Grants No. ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. DV acknowledges support from the INFN HPC-HTC project. Numerical simulations have been performed on the Swansea University SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, on the local HPC clusters in Pusan National University (PNU) and in National Yang Ming Chiao Tung University (NYCU), and the DiRAC Data Intensive service at Leicester. The Swansea University SUNBIRD system and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester 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

Files

cont_lim.csv

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md5:79db2e8f50de4b3fb43c838a38880d65
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md5:947f311b4f9cdad7d7638ca0289a9839
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md5:f927e4664ab6f642e13452b48ac0a1c4
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md5:0dc995f38ab7a15e4eba07800a979433
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md5:f07661f350cabec7a1f9e667fc730f9f
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Additional details

Related works

Is referenced by
Preprint: 10.48550/arXiv.2205.09254 (DOI)
Preprint: 10.48550/arXiv.2205.09364 (DOI)
Is required by
Software: 10.5281/zenodo.6685967 (DOI)