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Neutrino Arrival-Time Structure and a Cross-Baseline Non-Dispersive Common Term
V33-33.45 · G 判决节 / 审计节 ·
33.45 turns neutrino timing into a cross-baseline tightening court: after one external time reference, uniform event selection, a single calibration aperture, Standard Model energy-dependent subtraction, reconstruction-bias regression, and beam near–far cancellation, residual arrival times must recover an alignable Δt_common that stays insensitive to energy E and flavor across beam, atmospheric, and astrophysical samples, co-occurs at effectively zero lag after cross-experiment alignment, and is hit feed-forward by mantle-crossing angle, tidal strain phase, geomagnetic, solar-background, and site-environment cards; under V08-compatible tighten, this remains only a neutrino multi-baseline timing ledger rather than a total propagation or neutrino-ontology verdict.
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Keywords: neutrino timing, Δt_common, near–far cancellation, common-view plus two-way time transfer, White Rabbit, νe, νμ, ντ, zero-lag co-occurrence, mantle-crossing angle, tidal strain phase, reconstruction bias
Section knowledge units
thesis
33.45 treats neutrino timing as a court for one very specific residual object, Δt_common. Arrival-time scatter by itself proves almost nothing because source emission structure, propagation, detector timing, and reconstruction are all mixed together. The chapter therefore subtracts Standard Model energy-dependent behavior and reconstruction offsets first, then asks whether one alignable common term remains that does not vary systematically with energy or neutrino flavor. Beam near–far pairs, atmospheric baselines, and astrophysical triggers are all recruited into that court because the goal is not one isolated anomaly but one cross-baseline timing hard account. Under compat adjudication, that account is admissible only as a tightened neutrino timing ledger, never as a total verdict on propagation or neutrino ontology.
mechanism
The measurement package is built to break false timing stories. For every baseline, source class, detector, and pipeline, the court estimates a constant offset and a slow slope from arrival-time residuals, then rechecks Δt_common in equal-count energy bins and flavor strata. Near–far differencing removes bunch-by-bunch source jitter for beams; cross-experiment alignment looks for zero-lag steps, plateaus, or phase-lock points; geometry and environment cards probe mantle-crossing angle, tidal strain phase, Kp, Dst, solar background, and site weather; and triggerable astrophysical sources must show a narrow offset distribution against electromagnetic and gravitational-wave channels that does not broaden with energy. If relative timing relations warp systematically with energy or flavor, the chapter treats reconstruction or selection bias as the primary explanation.
mechanism
Execution is cross-experiment by design. Beam samples need paired near and far detectors, atmospheric samples need detectors across hemispheres and latitudes, and astrophysical samples need multi-messenger timing coordination. All pipelines share one external reference via common-view plus two-way time transfer and White Rabbit timing, while queue and delay budgets are published and calibrated by injection–recovery. Reconstruction-bias template families, gating windows, and event-selection rules are frozen with holdouts. A time-domain alignment path and a frequency-domain or wavelet/coherence path run independently, and only their text-graded outputs meet in arbitration. Feed-forward, blinded measurement, and arbitration teams remain separated so that Δt_common has to survive a real procedural court.
evidence
The positive control is clear: across multiple baselines and experiments, Δt_common aligns without systematic sign flips across energy and flavor strata, and the same geometry/environment windows show zero-lag co-occurring plateaus or steps that beat randomized permutations. The negative control is equally clear: energy-bin scaling, flavor-bin sign reversals, gate-width fragility, single-pipeline synchrony, or collapsed geometry correlations all count against a non-dispersive common term. Nulls must be destructive. Energy-bin labels, flavor labels, baselines, and time windows are permuted; time reversal and random time shifts are applied; and geometry/environment variables are shuffled while preserving marginals. Any timing structure that survives these nulls at the same grade is method noise, not a court-admissible Δt_common.
boundary
The acceptance bar is strict: at least two independent pipelines, at least two baseline-orientation configurations, and at least two source classes must reproduce an alignable Δt_common; the term must show no systematic dependence on energy or neutrino flavor; zero-lag co-occurrence must survive after cross-experiment alignment; geometry/environment hit rates must beat randomized baselines; and preregistered holdouts must replicate the pattern. The chapter rejects the claim as soon as energy or flavor dependence, reconstruction bias, calibration drift, or method artifacts explain the residual, or if one experiment, one period, or one pipeline carries the whole structure. The named systematics are timing-chain drift, energy/zenith reconstruction bias plus selection effects, and uncertain source-time structure, especially for astrophysical triggers.
interface
So 33.45 can close only one timing court. If Δt_common survives energy, flavor, baseline, holdout, and null pressure, V33 keeps one neutrino multi-baseline timing ledger with an explicit upper bound and a reusable external-timing grammar. That grammar then matters for 33.46 because the next chapter also lives or dies on cross-instrument synchrony, shared time standards, and the refusal to let co-occurrence be manufactured by open delay ledgers. But if Δt_common collapses into reconstruction bias, calibration drift, or source-time ambiguity, this chapter reports the failure honestly and sends the case back to timing and method ledgers rather than smuggling it into canon-core conclusions.