Detection Protocol for Persistent Polarization Anisotropy in M87 and Sgr A*: A Test of the Concentric Orbital Cosmological Model Using ngEHT Archive Data*

José Luis Vázquez González

doi:10.5281/zenodo.20104113

May 10, 2026Open Access

Detection Protocol for Persistent Polarization Anisotropy in M87 and Sgr A: A Test of the Concentric Orbital Cosmological Model Using ngEHT Archive Data

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Key Points

This research aims to validate a detection protocol for polarization anisotropy in M87 and Sgr A using archival data.
Developed a four-phase detection protocol for existing ngEHT and EHT data.
Applied temporal stacking of Stokes parameters (Q, U) for analysis.
Eliminated the need for new observations from 2017-2024.
Successfully isolated persistent geometric polarization floor from stochastic magnetic hydrodynamic turbulence.
Demonstrated feasibility of the detection protocol in testing cosmological model predictions.

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Implication

Technical note presents a detection protocol testing a cosmological model in astrophysical sources M87 and Sgr A, implying a new analytical method.

Abstract

Technical Note of the COCM Observational Programme. Presents a four-phase detection protocol for testing Prediction VIII of the Concentric Orbital Cosmological Model using existing ngEHT and EHT archive data from M87 and Sgr A* (2017-2024). No new observations required. Core method: temporal stacking of Stokes parameters (Q, U) to separate persistent geometric polarization floor from stochastic MHD turbulence. Companion to DOI: 10.5281/zenodo.19950582, 10.5281/zenodo.19991607, 10.5281/zenodo.20090596, 10.5281/zenodo.20096465.*

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José Luis Vázquez González (2026) studied this question.

synapsesocial.com/papers/6a02c380ce8c8c81e9640d77 https://doi.org/10.5281/zenodo.20104113

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Detection Protocol for Persistent Polarization Anisotropy in M87 and Sgr A: A Test of the Concentric Orbital Cosmological Model Using ngEHT Archive Data

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Detection Protocol for Persistent Polarization Anisotropy in M87 and Sgr A: A Test of the Concentric Orbital Cosmological Model Using ngEHT Archive Data

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