Mechanical Resolution of the Hubble Tension: Calculating the Yield Duration

Defines the temporal interval required for the vacuum to re-harden after a metric slip, calculated as the ratio of vacuum viscosity to Planck-normalized yield stress. Matches the calculated re-hardening duration to the decay profile of the Fermi-GBM event bn180528465, providing a "Mechanical Signature" for localized metric instabilities.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-05
DOI
https://doi.org/10.5281/zenodo.18879447
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanical Resolution of the Hubble Tension: Calculating the Yield Duration

Max Buquoi
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
article

Mechanical Resolution of the Hubble Tension: Calculating the Yield Duration

Max Buquoi
article en

Abstract

Defines the temporal interval required for the vacuum to re-harden after a metric slip, calculated as the ratio of vacuum viscosity to Planck-normalized yield stress. Matches the calculated re-hardening duration to the decay profile of the Fermi-GBM event bn180528465, providing a "Mechanical Signature" for localized metric instabilities.

Zenodo (CERN European Organization for Nuclear Research)
Yield10 Bioscience (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 35%
Cosmology and Gravitation Theories
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.