A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering.

This independent survey utilizes the ATNF Pulsar Catalogue (v2. 70) to map physical anomalies across 1, 522 pulsars. By establishing a mathematical baseline (R²=1. 0) and applying a Z-score filtering framework, the study identifies high-sigma outliers, including an 11. 41-sigma Alpha candidate (J0952-0607). The Results demonstrate a scalable, automated framework for prioritizing relativistic targets in large-scale astrophysical datbases like the Square Kilometre Array (SKA).