QRUM Environmental Dependence: Pulsar Frequency vs Galactic Dark Matter Density

This preprint presents the Environmental Dependence framework within the Quantum Resonance Unified Model (QRUM). The study investigates the relationship between pulsar characteristic frequencies and Galactic dark matter density, providing an observational test of frequency-dependent resonance effects. The accompanying open-source reference implementation is available through the associated GitHub repository.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21694557
Primary Topic
Dark Matter and Cosmic Phenomena
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

QRUM Environmental Dependence: Pulsar Frequency vs Galactic Dark Matter Density

Gabor P.
Zenodo (CERN European Organization for Nuclear Research)
Dark Matter and Cosmic Phenomena
preprint

QRUM Environmental Dependence: Pulsar Frequency vs Galactic Dark Matter Density

Gabor P.
preprint en

Abstract

This preprint presents the Environmental Dependence framework within the Quantum Resonance Unified Model (QRUM). The study investigates the relationship between pulsar characteristic frequencies and Galactic dark matter density, providing an observational test of frequency-dependent resonance effects. The accompanying open-source reference implementation is available through the associated GitHub repository.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Dark Matter and Cosmic Phenomena
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.