A Standard-Model-Baseline Residual Test for a Collider-Domain Prediction of Superluminal Localization Theory Using Jet Angular Correlations

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Authors: Jorge Vasconcelos
Cited by: 0

Abstract

Description / Abstract This work presents a fully specified, audit-grade empirical protocol for testing Superluminal Localization Theory (SLT) against collider data using jet angular correlations. The analysis is explicitly framed as a falsification test anchored to the Standard Model (SM), treated not as a single prediction but as an ensemble baseline spanning generator, tune, and statistical uncertainties. Using publicly available LHC open data, the protocol mandates pre-registered parameter grids, identical data and baseline pipelines, observable-space residual visualization with uncertainty propagation, and a comprehensive set of quantified systematic checks. A binary decision logic is enforced: either the data are consistent with the SM ensemble baseline, constraining SLT in the tested observable, or a residual persists that satisfies a necessary condition for SLT viability. No claim of unique identification or proof of SLT is made. Instead, this publication establishes a reproducible, adversarially robust gate through which SLT — or any competing extension of the SM — must pass. An extensive audit checklist and reproduction protocol is included as an appendix to enable independent verification or falsification by third parties. Related Identifiers: This publication is simultaneously its own independent publication/DOI and an integral part of the following collection: https://zenodo.org/records/18493402https://zenodo.org/records/18493510https://zenodo.org/records/18520031https://zenodo.org/records/18527207https://zenodo.org/records/18528364

Fields of Study & Subjects

Particle physics theoretical and experimental studies High-Energy Particle Collisions Research Quantum Chromodynamics and Particle Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026
Language
EN
Document type
Preprint