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

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Authors: Anubhuti Kaushal
Cited by: 0

Abstract

This study presents a multi-wavelength validation of a predictive Priority Map developed from a systematic survey of 1,522 pulsars. By applying a Z-score filtering protocol, high-variance anomalies were cross-referenced with the Fermi-LAT 12-year Source Catalog (4FGL-DR3) and the ATNF Pulsar Database (v2.70). Results demonstrate that statistical outliers correlate strongly with high-energy states. This version (v2.0) includes a manual nomenclature audit to ensure IAU naming conventions are met for all 1,522 entries.

Fields of Study & Subjects

Pulsars and Gravitational Waves Research Astrophysics and Cosmic Phenomena Gamma-ray bursts and supernovae

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN