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Non-zero temperature study of spin 1/2 charmed baryons using lattice gauge theory
The European Physical Journal A, Volume: 60, Issue: 3
Swansea University Authors:
Gert Aarts , Chris Allton
, Muhammad Anwar
, Ryan Bignell
, Timothy Burns
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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License.
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DOI (Published version): 10.1140/epja/s10050-024-01261-2
Abstract
We study the behaviour of spin 1/2 charmed baryons as the temperature increases. We make use of anisotropic lattice QCD simulations with N f = 2+1 dynam- ical flavours. After determining the positive and negative par- ity ground state masses at the lowest temperature, we inves- tigate the effect of...
Published in: | The European Physical Journal A |
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ISSN: | 1434-601X |
Published: |
Springer Science and Business Media LLC
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa65830 |
Abstract: |
We study the behaviour of spin 1/2 charmed baryons as the temperature increases. We make use of anisotropic lattice QCD simulations with N f = 2+1 dynam- ical flavours. After determining the positive and negative par- ity ground state masses at the lowest temperature, we inves- tigate the effect of rising temperature using ratios of thermal lattice correlators with both so-called reconstructed correla- tors and with simple model correlators. This avoids difficul- ties associated with non-zero temperature fitting or spectral reconstruction. We find that temperature effects are promi- nent throughout the hadronic phase for all negative parity channels considered and for some positive parity channels. Subsequently and where possible, we determine the masses of the ground states as a function of temperature. Finally we consider the effect of chiral symmetry restoration and extract an estimate of the pseudocritical temperature from singly charmed baryonic correlators. |
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Item Description: |
Data Availability Statement:The manuscript has associated data in a data repository. [Authors’ comment: The dataset and scripts used for this paper can be found at Ref. [76].] |
College: |
Faculty of Science and Engineering |
Funders: |
G.A., C.A., R.B. and T.J.B. are grateful for support via STFC grant ST/T000813/1. M.N.A. acknowledges support from The Royal Society Newton International Fellowship. This work used the DiRAC Extreme Scaling service at the University of Edinburgh, operated by the Edinburgh Parallel Computing Centre and the DiRAC Data Intensive service operated by the University of Leicester IT Services on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grants ST/R00238X/1, ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grants ST/R001006/1 and ST/R001014/1. DiRAC is part of the UK National e-Infrastructure. We acknowledge the support of the Swansea Academy for Advanced Computing, the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, and the University of Southern Denmark and ICHEC, Ireland for use of computing facilities. This work was performed using PRACE resources at Cineca (Italy), CEA (France) and Stuttgart (Germany) via grants 2015133079, 2018194714, 2019214714 and 2020214714. |
Issue: |
3 |