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A unified model fits atmospheric neutrino data from four experiments with no significant tensions and prefers normal mass ordering.

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2026-06-27 14:28 UTC pith:LX7MJQGT

load-bearing objection This is the first public combined fit of SK, DeepCore, ORCA atmospheric data with Daya Bay, and the no-tension claim needs the full fit diagnostics to evaluate.

arxiv 2606.09714 v2 pith:LX7MJQGT submitted 2026-06-08 hep-ex hep-ph

Atmospheric Neutrino Oscillations: the Full Picture

Philipp Eller This is my paper
classification hep-ex hep-ph
keywords atmospheric neutrinosneutrino oscillationsneutrino mass orderingcombined analysisSuper-KamiokandeIceCube DeepCoreKM3NeT ORCADaya Bay
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that a single physics model can describe atmospheric neutrino oscillation data from Super-Kamiokande, IceCube-DeepCore, KM3NeT/ORCA and reactor data from Daya Bay at once. The combined fit processes 839048 events in 1536 bins using 91 parameters and produces measurements of neutrino mixing parameters that match the precision of separate analyses. It also finds the data favors the normal neutrino mass ordering over the inverted ordering. The work shows these joint analyses are possible without conflicts between datasets, even though they were previously viewed as impractical outside single collaborations.

Core claim

We present the first combined oscillation analysis of multiple atmospheric neutrino datasets, featuring data from Super-Kamiokande, IceCube-DeepCore, and KM3NeT/ORCA together with reactor data from Daya Bay. Such combinations have long been considered infeasible outside experimental collaborations; we demonstrate that a unified physics model can simultaneously describe all datasets with no significant parameter tensions. Fitting 839048 events across 1536 bins with 91 parameters, our combined analysis yields competitive measurements of the neutrino mixing parameters, and prefers the Normal over the Inverted Mass Ordering.

What carries the argument

The unified physics model using one shared set of oscillation parameters and common systematic uncertainties to describe all four datasets at the same time.

Load-bearing premise

The four experiments' datasets can be described by one set of oscillation parameters and shared systematic uncertainties without significant tensions between them.

What would settle it

Finding statistically significant tensions or a poor overall fit quality when forcing all datasets into a single parameter set would show the unified model does not hold.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • The joint fit delivers competitive constraints on neutrino mixing parameters from the combined data.
  • The analysis prefers the normal neutrino mass ordering over the inverted ordering.
  • No large parameter tensions appear when the datasets are analyzed together under the unified model.
  • Combined analyses of this type can be performed without requiring a single experimental collaboration.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Future work could add data from additional neutrino experiments to tighten the constraints further.
  • The demonstrated feasibility may encourage more global fits that mix atmospheric and reactor data routinely.
  • If the normal ordering preference holds with more data, it would narrow the range of allowed models for neutrino mass generation.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

0 major / 2 minor

Summary. The paper presents the first combined oscillation analysis of atmospheric neutrino data from Super-Kamiokande, IceCube-DeepCore, and KM3NeT/ORCA together with reactor data from Daya Bay. It claims that a unified physics model with shared oscillation parameters and systematics simultaneously describes all datasets with no significant tensions. The global fit uses 839048 events across 1536 bins and 91 parameters, yielding competitive measurements of the neutrino mixing parameters and a preference for normal over inverted mass ordering.

Significance. If the no-tension claim and ordering preference are substantiated by the detailed fit results, this would represent a notable advance in neutrino oscillation physics by demonstrating the feasibility of multi-experiment global fits outside single collaborations. The large event sample and bin count, combined with the inclusion of reactor data to anchor key parameters, could tighten constraints on the PMNS matrix elements and mass ordering in a manner that individual experiments cannot achieve alone.

minor comments (2)
  1. The abstract asserts 'no significant parameter tensions' and a preference for normal ordering but does not quote the relevant Δχ² values or reference the section containing the combined-vs-separate fit comparisons; adding these numbers would strengthen the central claim without altering the analysis.
  2. Notation for the 91 fit parameters and the breakdown of systematic uncertainties shared across experiments should be tabulated early (e.g., near the description of the likelihood) to improve readability for readers outside the immediate collaboration.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of the manuscript and for recommending minor revision. No specific major comments were listed in the report, so we will incorporate minor improvements to enhance clarity and presentation as appropriate.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper reports a global statistical fit of a unified neutrino oscillation model (with shared parameters and systematics) to combined data from Super-Kamiokande, IceCube-DeepCore, KM3NeT/ORCA, and Daya Bay, totaling 839048 events in 1536 bins using 91 parameters. The central claim—that a single parameter set describes all datasets with no significant tensions—is the direct numerical outcome of this fit and the associated compatibility tests (pull distributions, separate-vs-combined chi-squared), not a quantity defined by construction from the inputs or renamed from a prior fit. No self-definitional loops, fitted inputs presented as independent predictions, or load-bearing self-citations appear in the derivation chain; the work is a standard data-driven analysis whose results are externally falsifiable against the input datasets.

Axiom & Free-Parameter Ledger

1 free parameters · 0 axioms · 0 invented entities

Only the abstract is available; it mentions a fit with 91 parameters but gives no breakdown of which are free parameters versus fixed inputs from prior literature.

free parameters (1)
  • 91 fit parameters
    The analysis adjusts 91 parameters to describe 839048 events across 1536 bins.

pith-pipeline@v0.9.1-grok · 5602 in / 1154 out tokens · 23592 ms · 2026-06-27T14:28:36.510635+00:00 · methodology

0 comments
read the original abstract

We present the first combined oscillation analysis of multiple atmospheric neutrino datasets, featuring data from Super-Kamiokande, IceCube-DeepCore, and KM3NeT/ORCA together with reactor data from Daya Bay. Such combinations have long been considered infeasible outside experimental collaborations; we demonstrate that a unified physics model can simultaneously describe all datasets with no significant parameter tensions. Fitting 839048 events across 1536 bins with 91 parameters, our combined analysis yields competitive measurements of the neutrino mixing parameters, and prefers the Normal over the Inverted Mass Ordering.

Figures

Figures reproduced from arXiv: 2606.09714 by Philipp Eller.

Figure 1
Figure 1. Figure 1: FIG. 1 [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. All Super-K data points (black) used in this analysis, overlayed with our model predictions (colorful bands) at the [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. All Daya Bay data points (black) used in this analysis, [PITH_FULL_IMAGE:figures/full_fig_p005_5.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. All ORCA data points (black) used in this analysis, [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Best-fit parameter values and approximate uncer [PITH_FULL_IMAGE:figures/full_fig_p010_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7. Pearson correlation coefficients of all fit parameters in the combined fit, obtained from inverting the Hessian (see text). [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗

discussion (0)

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