LSC 4.2 ULTRA: Gravitationally Coupled Neutrino Oscillation Framework

Title:
LSC 5.5: Unified Model of Gravitationally Modulated Neutrino Propagation and Tensor Energy Reconstruction

Description:
This dataset contains the working documentation, mathematical formulation, and validation tests for the LSC 5.5 framework — a phenomenological model developed to investigate alternative explanations of neutrino anomalies.

The model combines two key components:
(1) modified neutrino propagation in curved spacetime via an effective operator, and
(2) detector-level energy reconstruction effects described by a tensor formalism.

In this formulation, observed anomalies — particularly those associated with gallium-based experiments — may arise not from new particle states (such as sterile neutrinos), but from the interplay between propagation effects and anisotropic detector response.

The archive includes:

• A structured theoretical description of the LSC 5.5 framework
• Core equations and effective Hamiltonian formalism
• Numerical test results, including energy-shift estimates (ΔE/E), stability checks, and anisotropy predictions
• Preliminary validation against experimental constraints from KATRIN and IceCube

Key findings:

• The model reproduces the scale of gallium anomalies using moderate energy reconstruction effects
• It remains consistent with current constraints from neutrino mass measurements and high-energy neutrino observations
• It predicts directional (anisotropic) effects that provide a potential avenue for experimental falsification

This work is presented as a testable phenomenological hypothesis and does not claim a complete fundamental derivation. The results represent an initial validation stage and are intended to support further investigation, refinement, and independent verification.

Keywords:
neutrino physics, gallium anomaly, KATRIN, IceCube, beyond standard model, phenomenological model, anisotropy, detector effects, gravitational modulation

Notes:
This version (v1) represents an early-stage research release. Future updates will focus on parameter constraints, global data fits, and extended predictive analysis.