DLMC Framework: Perturbative Analysis of Galactic Gravitational Flux

This repository contains the complete documentation, figures, and simulation notebooks for the Dynamic Local Mass Clustering (DLMC) framework, which provides a perturbative analysis of galactic gravitational fluxes. The work introduces a robust computational methodology to model local mass distributions in galaxies, capturing spatial decoupling and dynamical effects beyond traditional MOND or CDM models. Included are: Jupyter Notebook (.ipynb) with step-by-step simulations. Python scripts (.py) for numerical integration and visualization. PDF and Markdown versions of the report summarizing results, methodology, and conclusions. Figures illustrating key simulation outputs. This resource is intended for researchers in astrophysics, computational physics, and dynamical systems who wish to explore the DLMC paradigm and reproduce or extend the analyses presented. Keywords: DLMC, galactic dynamics, gravitational flux, perturbation analysis, computational astrophysics, local mass clustering

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-13
DOI
https://doi.org/10.5281/zenodo.18997307
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
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article

DLMC Framework: Perturbative Analysis of Galactic Gravitational Flux

mounir djebassi
Zenodo (CERN European Organization for Nuclear Research)
Galaxies: Formation, Evolution, Phenomena
article

DLMC Framework: Perturbative Analysis of Galactic Gravitational Flux

mounir djebassi
article en

Abstract

This repository contains the complete documentation, figures, and simulation notebooks for the Dynamic Local Mass Clustering (DLMC) framework, which provides a perturbative analysis of galactic gravitational fluxes. The work introduces a robust computational methodology to model local mass distributions in galaxies, capturing spatial decoupling and dynamical effects beyond traditional MOND or CDM models. Included are: Jupyter Notebook (.ipynb) with step-by-step simulations. Python scripts (.py) for numerical integration and visualization. PDF and Markdown versions of the report summarizing results, methodology, and conclusions. Figures illustrating key simulation outputs. This resource is intended for researchers in astrophysics, computational physics, and dynamical systems who wish to explore the DLMC paradigm and reproduce or extend the analyses presented. Keywords: DLMC, galactic dynamics, gravitational flux, perturbation analysis, computational astrophysics, local mass clustering

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 26%
Galaxies: Formation, Evolution, Phenomena
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