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Simple Modular S3S_3 Models for Lepton Masses and Mixing

This paper presents a systematic classification and Bayesian analysis of economical modular S3S_3 lepton-flavor models without right-handed neutrinos or extra flavons, identifying 18 viable normal-ordering and 19 inverted-ordering scenarios that successfully fit current neutrino data while offering distinct, testable predictions for absolute neutrino mass scales and CP-violating phases.

Original authors: V. V. Vien, Mayengbam Kishan Singh

Published 2026-09-14
📖 6 min read🧠 Deep dive

Original authors: V. V. Vien, Mayengbam Kishan Singh

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The universe is built from a small set of fundamental particles, but the rules governing how they interact remain one of physics' deepest mysteries. While scientists have mapped out the basic ingredients of matter, the Standard Model of particle physics cannot explain why these particles have the specific masses they do, nor why they mix together in the strange patterns observed in experiments. A particularly puzzling case involves neutrinos, ghostly particles that pass through everything almost unnoticed. For decades, physicists assumed these particles were massless, but experiments have confirmed they possess a tiny, non-zero mass and that they oscillate, or change their identity, as they travel. This discovery proves the Standard Model is incomplete, yet the origin of these masses and the specific way they mix remains unknown. To solve this, researchers often propose new symmetries—hidden rules that dictate how particles behave—but these solutions frequently require adding many new, unseen particles to the theory, making the models complicated and difficult to test.

A team of physicists has now explored a different path, using a mathematical framework called modular symmetry to explain the behavior of neutrinos without inventing a host of new particles. Instead of relying on a large number of extra fields, they utilized a specific, simple symmetry group known as S3, which describes how objects can be rearranged. By applying this symmetry to the known particles, they systematically tested every possible way the math could work to generate the observed neutrino masses and mixing patterns. Their goal was to find the simplest, most economical versions of these theories that still matched the precise data collected from neutrino experiments around the world. They did not just look for one solution; they mapped out the entire landscape of possibilities, checking which configurations could survive the rigorous constraints of current measurements.

The researchers began by organizing the known families of leptons—particles like electrons and neutrinos—according to the rules of this S3 symmetry. They assigned the first family of particles to one category and the second and third families to another, then calculated how these groups could interact to produce mass. They examined twenty-seven distinct mathematical structures, or "textures," that could arise from this setup. For each structure, they ran extensive computer simulations to see if the resulting predictions matched the real-world data, specifically looking at the angles at which neutrinos mix and the differences in their masses. They tested these models against two competing scenarios for how the neutrino masses are ordered: a "normal" order where the lightest is first, and an "inverted" order where the heaviest is first.

The analysis revealed that nature is far more selective than a simple guess might suggest. Out of the twenty-seven possibilities, eighteen were found to be viable for the normal mass ordering, while nineteen worked for the inverted ordering. Remarkably, fourteen of these models were flexible enough to accommodate both scenarios, suggesting that the underlying symmetry is robust. However, four models were ruled out entirely because they could not produce results consistent with any known data, and others were only compatible with one specific ordering. The study identified a particular model, labeled MIII5, as the most statistically favored option, performing well in both the normal and inverted scenarios. This model serves as a prime example of how a simple, elegant mathematical rule can reproduce the complex behavior of the subatomic world without needing to clutter the theory with unnecessary new particles.

Beyond simply finding models that fit the data, the researchers discovered that these theories make sharp, testable predictions about the absolute mass of neutrinos, a value that has not yet been directly measured. The models predict that if the neutrino masses follow the normal ordering, the total mass of the three neutrinos would be relatively low, falling between 59.2 and 112.5 units of mass. If the masses follow the inverted ordering, the total would be significantly higher, ranging from 99.5 to 120.0 units. This difference is crucial because it means that future experiments designed to measure the sum of neutrino masses could definitively tell us which ordering is correct. The predictions also extend to the effective mass of the neutrino as it appears in beta decay and neutrinoless double-beta decay, two processes that are currently being hunted by sensitive detectors. The models suggest that if the inverted ordering is correct, these decay signals should be stronger and easier to detect than if the normal ordering is true.

The study also shed light on the mysterious "phases" that govern how neutrinos change identity, specifically the Dirac CP-violating phase, which determines whether neutrinos and antineutrinos behave differently. The models predict a wide variety of values for this phase, with some scenarios favoring values close to zero and others pointing toward maximum violation. While current experimental data is not yet precise enough to rule out these specific predictions, the range of possibilities narrows the field for future experiments. The researchers found that the models generally predict a higher absolute mass scale for the inverted ordering, making those scenarios more likely to be constrained by cosmological observations of the universe's expansion and more accessible to neutrinoless double-beta decay searches. In contrast, the normal ordering models predict a lower mass scale that sits comfortably within current cosmological limits but might be harder to detect in the near future.

Ultimately, this work demonstrates that a highly economical framework, relying on a simple symmetry and no extra particles, can successfully explain the intricate patterns of lepton flavor. The researchers did not find a single "winner" that explains everything perfectly, but rather a diverse set of viable candidates that are all consistent with current data. The most significant outcome is the clear distinction these models draw between the two possible mass orderings. By predicting specific ranges for the total neutrino mass and the strength of neutrinoless double-beta decay signals, these theories provide a concrete roadmap for the next generation of experiments. As detectors become more sensitive and cosmological data improves, scientists will be able to test these specific predictions, potentially confirming whether the universe follows the normal or inverted path and validating the power of modular symmetry in explaining the fundamental nature of matter.

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