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Data-driven analysis of a SUSY GUT of flavour

Bernigaud, Jordan 1,2; Forster, Adam K.; Herrmann, Björn; King, Stephen F.; Porod, Werner; Rowley, Samuel J.
1 Institut für Theoretische Teilchenphysik (TTP), Karlsruher Institut für Technologie (KIT)
2 Institut für Kernphysik (IKP), Karlsruher Institut für Technologie (KIT)

Abstract:

We present a data-driven analysis of a concrete Supersymmetric (SUSY) Grand Unified Theory (GUT) of flavour, based on SU(5) × S4, which predicts charged fermion and neutrino mass and mixing, and where the mass matrices of both the Standard Model and the Supersymmetric particles are controlled by a common symmetry at the GUT scale. This framework also predicts non-vanishing non-minimal flavour violating effects, motivating a sophisticated data-driven parameter analysis to uncover the signatures and viability of the model. This computer-intensive Markov-Chain-Monte-Carlo (MCMC) based analysis includes a large range of flavour as well as dark matter and SUSY observables, predicts distributions for a range of physical quantities which may be used to test the model. The predictions include maximally mixed sfermions, μ → eγ close to its experimental limit and successful bino-like dark matter with nearby winos (making direct detection unlikely), implying good prospects for discovering winos and gluinos at forthcoming collider runs. The results also demonstrate that the Georgi-Jarlskog mechanism does not provide a good description of the splitting of down type quark masses and charged leptons, while neutrinoless double beta decay is predicted at observable rates.

Zugehörige Institution(en) am KIT Institut für Kernphysik (IKP)
Institut für Theoretische Teilchenphysik (TTP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2022
Sprache Englisch
Identifikator ISSN: 1029-8479
KITopen-ID: 1000148013
HGF-Programm 51.11.01 (POF IV, LK 01) Teilchenphysik
Erschienen in Journal of High Energy Physics
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Band 2022
Heft 5
Seiten Art.-Nr.: 156
Bemerkung zur Veröffentlichung Gefördert durch SCOAP3
Vorab online veröffentlicht am 24.05.2022
Nachgewiesen in arXiv
Web of Science
Scopus
OpenAlex
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 15 – Leben an Land

Verlagsausgabe §
DOI: 10.5445/IR/1000148013
Veröffentlicht am 22.06.2022
Originalveröffentlichung
DOI: 10.1007/JHEP05(2022)156
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 2
Seitenaufrufe: 68
seit 23.06.2022
Downloads: 19
seit 23.06.2022
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