Published August 29, 2024 | Version v1
Dataset Open

Large mass hierarchies from strongly-coupled dynamics---Recombined data release

  • 1. University of Pisa
  • 2. The Cyprus Institute
  • 3. Swansea University
  • 4. ROR icon Friedrich Schiller University Jena
  • 5. ROR icon National Yang Ming Chiao Tung University

Description

This release contains data associated with the publication Large mass hierarchies from strongly-coupled dynamics (JHEP 06 (2016) 114).

Compared to the raw data release, it makes the following changes:

  • The two CSV files present in the raw data release are combined, with a common column schema. Since not all data were retained from all steps of the original computation, some of these data have been recomputed.
  • The lattice data plotted in Figs. 2 and 3 of the paper are also included, and plotted by the Mathematica notebook.

It comprises five files:

  • README.md: containing this summary and further details of the contents of each file.
  • su2_adjoint_lattice_data.csv: the data for the points plotted in Figures 2 and 3 of the paper. Masses of the scalar and tensor glueball, extracted from Monte Carlo ensembles of SU(2) with adjoint fermions.
  • sigmamodel.csv: the data shown in Figures 4 and 5 of the paper. The mass of the composite spin-0 and spin-2 states, computed for , as a function of , normalised to the mass of the lightest scalar or tensor.
  • DataRelease.nb: A Mathematica notebook that will take the above three files and generate plots similar to thsoe shown in the paper. This has been tested using Mathematica 14.0.
  • unify_lmh_2016.zip: A Snakemake and Python workflow to take the data from the raw data release, some data released as part of the analysis workflow for arXiv:2408.00171, and some previously unpublished data included in the archive, and generate the two CSV files above. Includes a README.md file containing more information about how to run the workflow.

Files

README.md

Files (518.4 kB)

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Additional details

Related works

Documents
Journal article: 10.1007/JHEP06(2016)114 (DOI)
Requires
Dataset: 10.5281/zenodo.13128485 (DOI)
Workflow: 10.5281/zenodo.12802810 (DOI)

Funding

UK Research and Innovation
Reproducible analysis frameworks in Lattice Field Theory and STFC-enabled computational research in Wales EP/V052489/1

Software