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