MCI

This record contains the full reproducible analysis for MicroBooNE V3, the Spectral Coherence Test developed within the Informational Coherence Model (MCI) framework.The analysis extends the V2 global max-T test and introduces a frozen-template spectral estimator derived entirely from theoretical MCI predictions, with no parameter tuning on MicroBooNE data.

The V3 method compares the MicroBooNE “lep_energy” distributions with a spectral template generated from the MCI field structure (Ψ_true → Ψ_folded), using a fixed peak position (E_peak) and width motivated by GPE simulations and the informational radiation constant frad≈1/6f_{\text{rad}} \approx 1/6frad≈1/6.

Methodological highlights

Frozen Template Analysis:No scanning of template shapes or adaptive fitting. The spectral template is defined a priori from MCI theory.

No parameter tuning:Only the linear amplitude estimator is computed; no free parameters are adjusted on the data.

Independent validation on two datasets:Exactly the same pipeline is applied to nue_NoWire_00 and nue_NoWire_01.

Reproducible workflow:Full analysis code, notebook, tables, and figures are included.

No MicroBooNE HDF5 files are distributed in this record. Users must downloadnue_NoWire_00.h5 and nue_NoWire_01.h5from the public MicroBooNE open data release.

Main results

The analysis reveals a statistically significant spectral anomaly consistent with the MCI prediction.

V2 global max-T test:Both datasets show a global deviation exceeding 3.29σ, indicating tension with the publicly provided baseline model.

V3 spectral test (frozen template):The correlation between the MCI template and the data residuals yields very high per-dataset significances(Dataset 00: zspec=14.619σz_{\text{spec}} = 14.619σzspec=14.619σ; Dataset 01: zspec=13.813σz_{\text{spec}} = 13.813σzspec=13.813σ),suggesting a strong structural alignment between data and theory.

Combined significance (Stouffer):zcomb≈20σz_{\text{comb}} \approx 20σzcomb≈20σ(statistical significance relative to the public baseline model).Note: This value includes statistical uncertainties only; full detector-level systematic uncertainties from the MicroBooNE internal framework are not unfolded here.

The large sensitivity gain from V2 to V3 arises because the frozen-template method isolates the specific coherent spectral structure predicted by the MCI field dynamics, which is not captured by global goodness-of-fit tests.

Contents of this record

Complete reproducible package (MicroBooNE_V3_FULL_REPRODUCIBLE_PACKAGE.zip) including:

Jupyter notebook (MicroBooNE_V3.ipynb)

Python scripts for V2 and V3

Figures and summary tables

README and reproducibility instructions

No experimental data are included.

This record is part of the ongoing validation program of the Informational Coherence Model (MCI), connecting theoretical predictions to open experimental datasets.