This package contains the complete validation suite for the directional scalar attractor detected in public LIGO–Virgo strain data using the peak‑normalised RMS statistic with the inflationary drift predicted by the Universal Applicable Time (UAT) and Unified Principle of Causality (UPC) frameworks. Contents pipelineᵤnifiedᵣmsₛvd. py – Main analysis pipeline: downloads the GWTC catalog, identifies 78 events where the epoch‑corrected attractor (0. 365–0. 634) is present in >50% of 1‑s windows, performs SVD triangulation of the maximum‑sensitivity vectors (best‑fit direction RA=124. 78°, Dec=+7. 85° in Cancer), and confirms 0 % false positives on noise‑only segments and synthetic Gaussian noise. nullₕypothesisᵣandomₚhase. py – Demonstrates that an earlier 8‑virtual‑channel method produced an artefactual Γ≈3. 46 that is unchanged after randomising the strain phase, proving the method was circular and justifying its abandonment. integritycheckₕash. py – Compares MD5 hashes of an official GWOSC segment and the previously used local HDF5 file, revealing a mismatch that confirmed local data corruption and motivated the exclusive use of direct GWOSC downloads. finalₛtressₜestₛuite. py – Runs six additional controls (time‑shift, off‑source random GPS, DQ flags, auxiliary‑channel correlation, hardware‑injection search, and a blind hold‑out split), documenting the signal’s temporal specificity and the challenges encountered with DQ flags and PEM channels. technicalᵣeport. tex – LaTeX source for a comprehensive technical report that describes the methodology, results, and interpretation of the full validation suite. README. md – Instructions for executing the scripts and a list of related DOIs. Key findings 78 out of 219 GWTC events show a significant accumulation of the peak‑normalised RMS around the drift‑corrected attractor. The detections are detector‑specific and time‑dependent, consistent with a fixed celestial source. SVD triangulation points to RA = 124. 78°, Dec = +7. 85° (Cancer), with an RMS fit error of 0. 458. Control tests on noise‑only segments and synthetic Gaussian noise yield 0. 0 % coincidence. The 8‑channel phase‑summation artefact was identified and discarded; the RMS‑based method is not circular. Local data files were found to be corrupted; all results are based on official GWOSC data fetched directly with gwpy. All scripts are written in Python and rely on publicly available libraries (gwpy, astropy, numpy, scipy, matplotlib). They are designed to be executed in a Colab environment without requiring any local data files. This package provides a fully reproducible record of the validation process and serves as a companion to the UAT/UPC theoretical works.
Miguel Angel Percudani (Thu,) studied this question.