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April 29, 20260 citationsOpen Access

Pipeline and Data Validation for the Detection of a Directional Scalar Attractor in Public LIGO-Virgo Strain Data

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MPMiguel Angel Percudani

Key Points

  • This research aims to systematically search for a scalar saturation limit within LIGO-Virgo data using specific frameworks.
  • Developed an analysis pipeline to download and analyze strain data from GWOSC.
  • Applied peak-normalised RMS statistic over 1-second windows and identified 78 significant events.
  • Conducted SVD triangulation to determine best-fit direction of the attractor.
  • Identified 78 events where the attractor's presence exceeded 50% in windows.
  • Best-fit direction was found at RA = 124.78°, Dec = +7.85° with an RMS error of 0.458.
  • Control tests indicated 0.0% false positives in noise-only data segments.

Abstract

This repository contains the analysis pipeline, control scripts, and companion manuscript for a systematic search of the scalar saturation limit predicted by the Universal Applicable Time (UAT) and Unified Principle of Causality (UPC) frameworks in publicly available LIGO-Virgo data. The core pipeline (pipelineᵤnifiedᵣmsₛvd. py) downloads the GWTC event catalog and strain from GWOSC, applies a peak-normalised RMS statistic over 1-second windows with the predicted secular drift of the attractor (0. 046 Hz/day), identifies 78 events where the epoch-corrected attractor is present in >50% of windows, and performs SVD triangulation of the maximum-sensitivity vectors, yielding a best-fit direction of RA = 124. 78°, Dec = +7. 85° (Cancer) with an RMS error of 0. 458. Control tests on noise-only segments return 0. 0% false positives. Auxiliary scripts document methodological integrity: nullₕypothesisᵣandomₚhase. py shows that an earlier 8-virtual-channel method produced an artefactual Γ-value, and integritycheckₕash. py confirms the discrepancy between locally stored HDF5 files and official GWOSC data that motivated the exclusive use of direct downloads. The package also includes a LaTeX manuscript (searchₛcalarₐttractor. tex) describing the methodology, results, and discussion, as well as a README with usage instructions. Related DOIs: 10. 5281/zenodo. 18446712, 10. 5281/zenodo. 17729221, 10. 5281/zenodo. 18210808.

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Cite This Study

Miguel Angel Percudani (2026) studied this question.

synapsesocial.com/papers/69f19fd5edf4b468248068dahttps://doi.org/10.5281/zenodo.19827619
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