E-Thesis 520 views 141 downloads
Meson spectroscopy at non-zero temperature using lattice QCD / SERGIO GARCIA-MASCARAQUE
Swansea University Author: SERGIO GARCIA-MASCARAQUE
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Copyright: The author, Sergio Chaves García-Mascaraque, 2023.
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DOI (Published version): 10.23889/SUthesis.62707
Abstract
This thesis explores two main topics: the effects of the temperature on several Quantum Chromodynamics mesonic observables, with a concrete focus on the tem-perature dependence of the mesonic mass spectrum, and numerical spectral recon-struction of lattice correlation functions employing deep neural...
| Published: |
Swansea
2023
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| Institution: | Swansea University |
| Degree level: | Doctoral |
| Degree name: | Ph.D |
| Supervisor: | Hands, Simon ; Aarts, Gert; Burns, Timothy |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa62707 |
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| Abstract: |
This thesis explores two main topics: the effects of the temperature on several Quantum Chromodynamics mesonic observables, with a concrete focus on the tem-perature dependence of the mesonic mass spectrum, and numerical spectral recon-struction of lattice correlation functions employing deep neural networks. In the first two chapters, a brief introduction to standard lattice Quantum Chromodynamics and non-zero temperature field theory is provided. Using the tools presented in the intro-ductory chapters, a complete spectroscopy analysis of the temperature dependence of several mesonic ground state masses is developed. From this study, novel results in the restoration of chiral symmetry as a function of the temperature are obtained by studying the degree of degeneracy between the ρ(770) and a1(1260) states. Ad-ditionally, a complete study of the thermal effects affecting the mesonic D(s)-sector below the pseudocritical temperature of the system is provided. A self-contained chapter discussing the pion velocity in the medium is also included in the document. The pion velocity is estimated as a function of the temperature using non-zero tem-perature lattice Quantum Chromodynamics. In addition, after providing a detailed introduction to the field of neural networks, their application to numerical spectral reconstruction is studied. A simple implementation in which deep neural networks are applied to numerical spectral reconstruction is tested in order to explore its limits and applicability. |
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| Keywords: |
Thermal field theory, QCD, lattice QCD, spectral reconstruction, high energy physics |
| College: |
Faculty of Science and Engineering |