Quark masses and mixing from modular $$ {S}_4^{\prime } $$ with canonical Kähler effects

A bstract We propose a quark flavor model based on modular $$ {S}_4^{\prime } $$ S 4 ′ with a general CP symmetry. CP violation in the quark sector is entirely realized by the modulus 〈 τ 〉. We show that the canonical normalization induced by the Kähler metric plays a crucial role in reproducing the observed hierarchies, while maintaining coupling constants of order $$ \mathcal{O}(1) $$ O 1 . The minimal model achieves a great fit to the quark sector data, which we take as the PDG 2024 data extrapolated to the GUT scale.

Authors

Institutions

Publication Details

Journal
Journal of High Energy Physics
Published
2026-08-20
DOI
https://doi.org/10.1007/jhep08(2026)162
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quark masses and mixing from modular $$ {S}_4^{\prime } $$ with canonical Kähler effects

Ivo de Medeiros Varzielas, Manuel Paiva
Journal of High Energy Physics
Particle physics theoretical and experimental studies
article

Quark masses and mixing from modular $$ {S}_4^{\prime } $$ with canonical Kähler effects

Ivo de Medeiros Varzielas, Manuel Paiva
article en

Abstract

A bstract We propose a quark flavor model based on modular $$ {S}_4^{\prime } $$ S 4 ′ with a general CP symmetry. CP violation in the quark sector is entirely realized by the modulus 〈 τ 〉. We show that the canonical normalization induced by the Kähler metric plays a crucial role in reproducing the observed hierarchies, while maintaining coupling constants of order $$ \mathcal{O}(1) $$ O 1 . The minimal model achieves a great fit to the quark sector data, which we take as the PDG 2024 data extrapolated to the GUT scale.

Journal of High Energy PhysicsVol. 2026(8)
University of Lisbon (PT), Universidade do Porto (PT)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Particle physics theoretical and experimental studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.