What question did this study set out to answer?

The research aims to predict the normal ordering of neutrino masses using shape-chirality from Informational Field Theory.

May 2, 2026Open Access

Neutrino Mass Ordering from Geometric Shape-Chirality: A Prediction of LUFT

Key Points

The research aims to predict the normal ordering of neutrino masses using shape-chirality from Informational Field Theory.
Pre-registration of predictions based on geometric invariants using shape-chirality classification.
Analytical proof of sign discrimination for neutrino mass ordering.
Falsification criteria established for testing with JUNO and DUNE experiments.
Normal mass ordering is predicted with a geometric shape-chirality greater than zero (χ > 0).
Inverted ordering corresponds to negative shape-chirality (χ < 0) with no crossover region.
Clusters of charged fermions demonstrate maximal prolate chirality (χ/χ_max > 0.98).

Abstract

Pre-registration of a testable prediction from Informational Field Theory (IFT): the neutrino mass ordering is normal (m₁ 0) or oblate (χ 0.98). Normal ordering gives χ > 0 for all allowed lightest masses; inverted ordering gives χ < 0 across the entire parameter space, with no crossover region. The sign discrimination is proven analytically. Falsifiable by JUNO and DUNE within 2–5 years. Includes toy-model derivation of prolate selection via coherence-field coupling, seesaw spectral preservation analysis, and explicit falsification criteria.

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