DOI: 10.5281/zenodo.10819721
title: Lattice investigations of the chimera baryon spectrum in the Sp(4) gauge theory---Data Release

description: This release contains the analysis workflow used to prepare the publication Lattice investigations of the chimera baryon spectrum in the Sp(4) gauge theory.

A Python code for performing the analysis and generating the plots and tables is uploaded to Zenodo. See the README therein for details on running the code.

For details on the data formats, see the relevant README.md files.

Content of directories and files:



README.md: This contains general information on the content of the release.

raw_data.zip: This compressed file contains all the raw data utilized in the research outlined in arXiv:2311.14663. These data were crucial in generating the results showcased in the paper.

data.h5: An HDF5 file housing the correlators derived from the raw data through the processing code, generate/transform_h5.py.

metadata.zip: This archive furnishes essential metadata such as ensemble information, fitting intervals, and smearing parameters crucial for extracting masses.

F_meson.csv: Presents the fundamental meson masses extracted via the analysis/analysis_F.py script.

AS_meson.csv: Presents the antisymmetric meson masses extracted via the analysis/analysis_AS.py script.

CB_mass.csv: Presents the chimera baryon masses extracted via the analysis/analysis_CB.py script.

FIT_mass.csv: Offers the AIC scan results conducted through the analysis/analysis_AIC.py script.

FIT_cross_fixAS.csv and FIT_cross_fixF.csv: These files provide cross-check results computed by the  analysis/analysis_cross.py script, specifically for fixing antisymmetric and fundamental masses, respectively.
description: The work of EB has been supported by the UKRI Science and Technology Facilities Council (STFC)

Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1.

The work of DKH was supported 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 was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. 

The work of DKH and JWL was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460).

The work of HH and CJDL is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3 and NSTC grant 112-2112-M-A49-021-MY3. 

The work of BL and MP has been supported in part by the STFC Consolidated Grants  No. ST/P00055X/1, ST/T000813/1, and ST/X000648/1. 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.

The work of DV is supported by STFC under Consolidated Grant No.~ST/X000680/1.

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 on 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.