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ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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Reproducible likelihood pipeline for reactor neutrino phase-correction analysis (Daya Bay + KamLAND + JUNO-like)

Authors: Christian, Balfagon;

Reproducible likelihood pipeline for reactor neutrino phase-correction analysis (Daya Bay + KamLAND + JUNO-like)

Abstract

This repository contains the fully reproducible likelihood and parameter-scan pipeline used in the phenomenological analysis of baseline- and energy-dependent phase corrections in reactor neutrino oscillations. The pipeline implements: • Daya Bay near–far spectral-ratio likelihood fits • KamLAND covariance-matrix spectral fits • One-parameter and multi-parameter phase-correction scans • Profile-likelihood construction with nuisance-parameter profiling • Global likelihood combination • Automated generation of figures and tables used in the manuscript The Daya Bay and KamLAND inputs are based on publicly released experimental spectral data products. The JUNO-like configuration included in the pipeline is a sensitivity-style simulation with multi-baseline averaging and detector-response smearing. It is not based on real JUNO data. All numerical results, χ² profiles, confidence intervals, tables, and figures are produced directly by this pipeline without manual post-processing. This software is intended for reproducible research and independent verification of the analysis results reported in the associated paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average