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

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 (pipeline_unified_rms_svd.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: null_hypothesis_random_phase.py shows that an earlier 8-virtual-channel method produced an artefactual Γ-value, and integrity_check_hash.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 (search_scalar_attractor.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.