Research Code and Reproducibility Materials for a Conditional Scalar Source Model of Compensated Matter Antimatter Domains

This dataset provides the Python source code and supporting materials for the manuscript entitled “A Conditional Scalar-Source Model for Compensated Matter–Antimatter Domains: Reaction–Diffusion and Stochastic-Seeding Tests.” The package contains the scripts used for the numerical calculations, supporting figures, results, a README file, and supplementary execution materials. The main calculation script reproduces the source-amplitude normalization, benchmark scalar mass, scalar energy-budget estimates, horizon-separation requirement, approximate CMB-isocurvature screening, and stochastic-seeding calculations under the assumptions stated in the manuscript.

The accompanying figure-generation script is provided to reproduce the diagnostic plots. The files are intended to support transparency and reproducibility by allowing readers to inspect the calculations and compare the generated outputs with those reported in the paper. The results are conditional on the specified model parameters and assumptions.