Structural Gravitational Waves v1.8 — Global Structural GW Framework

Structural Gravitational Waves (SGW) v1.8 presents an illustrative catalog-scale framework that unifies the single-event, hierarchical-population, and multi-messenger architectures developed throughout SGW v1.0–v1.7 into a coherent global inference system. The framework integrates a global likelihood engine, hyper-hierarchical Bayesian inference, streaming and real-time multi-messenger processing, cross-messenger catalog matching, catalog-level systematic-error propagation, selection-effects and detection-efficiency modeling, scalable GPU-accelerated computation, global population inference, worldwide detector and observatory coordination, a catalog-scale validation battery (GF1–GF8), and an open-science and reproducibility framework. Version v1.8 is intended as the methodological foundation for the SGW v1.9 Precision Ringdown program and the future Structural Gravity Precision Framework (v2.0). All numerical values, figures, sensitivity forecasts, performance targets, and scientific projections presented in this work are illustrative examples demonstrating the structure and intended use of the framework. They do not represent results obtained from actual LIGO–Virgo–KAGRA, IceCube, or electromagnetic-facility observations. Contents include: 41-page preprint (PDF) 16 framework figures Companion Python demonstration script README documentation

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21121279
Primary Topic
Pulsars and Gravitational Waves Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Structural Gravitational Waves v1.8 — Global Structural GW Framework

Koji Okino
Zenodo (CERN European Organization for Nuclear Research)
Pulsars and Gravitational Waves Research
preprint

Structural Gravitational Waves v1.8 — Global Structural GW Framework

Koji Okino
preprint en

Abstract

Structural Gravitational Waves (SGW) v1.8 presents an illustrative catalog-scale framework that unifies the single-event, hierarchical-population, and multi-messenger architectures developed throughout SGW v1.0–v1.7 into a coherent global inference system. The framework integrates a global likelihood engine, hyper-hierarchical Bayesian inference, streaming and real-time multi-messenger processing, cross-messenger catalog matching, catalog-level systematic-error propagation, selection-effects and detection-efficiency modeling, scalable GPU-accelerated computation, global population inference, worldwide detector and observatory coordination, a catalog-scale validation battery (GF1–GF8), and an open-science and reproducibility framework. Version v1.8 is intended as the methodological foundation for the SGW v1.9 Precision Ringdown program and the future Structural Gravity Precision Framework (v2.0). All numerical values, figures, sensitivity forecasts, performance targets, and scientific projections presented in this work are illustrative examples demonstrating the structure and intended use of the framework. They do not represent results obtained from actual LIGO–Virgo–KAGRA, IceCube, or electromagnetic-facility observations. Contents include: 41-page preprint (PDF) 16 framework figures Companion Python demonstration script README documentation

Zenodo (CERN European Organization for Nuclear Research)
United States Department of Labor (US)
Pulsars and Gravitational Waves Research
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.

Structural Gravitational Waves v1.8 — Global Structural GW Framework — Koji Okino · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS