Modules with classes and functions to generate and visualize causal sets with Python (written in version 3.8 with mypy typing support).
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Updated
Aug 24, 2026 - Python
Modules with classes and functions to generate and visualize causal sets with Python (written in version 3.8 with mypy typing support).
The Golomb Universe
Package of macros to typeset (Hasse) diagrams of partially ordered sets in LaTeX, with main application to causal sets (causets). The package uses TikZ and includes various style options to customize the diagrams.
Plot and animation examples for the repository c-minz/Python-causets written in Python (version 3.8 with mypy typing support).
Source code for the causal set sprinkling simulations with MATLAB, developed during my PhD research at the University of York. Part 1/2 (see Readme file for more information).
negentropic Birth–Death on Causal Sets: model, well-posedness, diagnostics
A zero-parameter simulation that Poisson-sprinkles
Verification suite for the 2026 preprint "Configuration Graphs with Real and Complex Path Weights": 9 reproducible experiments
Maximal Mutual Determination (PMMD): a work-in-progress framework deriving Standard Model structure from a relational qubit system via an E8 lattice foam — paper (LaTeX + PDF) and reproducibility code.
Source code for the plotting of results from the causal set sprinkling simulations with MATLAB and LaTeX, developed during my PhD research at the University of York. Part 2/2 (see Readme file for more information).
A readable revival of Luca Bombelli's 1987 causal-set annealer, with portable Python code, small reproducible experiments, and retro visualizations
An attempt at understanding and visually simulating Unorthodox Kitten's Beauty in Infrastructure project
Classes and functions to generate and visualize causal sets, and analyze their properties in MATLAB. The class structure is identical to the Python library in the repository c-minz/Python-causets (which was developed later).
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