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Laboratory of Computational Physics — Mode B

This repository contains coursework and project material for Laboratory of Computational Physics — Mode B.

Projects

Microbial Growth

A Bayesian analysis of microbial growth and division dynamics using lineage data and a modified hazard-function model.

Project folder:

projects/microbial-growth/

Repository structure

laboratory-computational-physics-mode-b/
├── README.md
├── requirements.txt
├── .gitignore
└── projects/
    └── microbial-growth/
        ├── README.md
        ├── notebooks/
        ├── data/
        ├── outputs/
        ├── src/
        └── report/

Environment

Create and activate a Python environment, then install the required packages:

pip install -r requirements.txt

Then open the notebook inside:

projects/microbial-growth/notebooks/

Notes

Large posterior-chain files and generated outputs are stored under the project outputs/ folder. If GitHub rejects a file because it is too large, use Git LFS for that file type.

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Bayesian hazard-function modeling of microbial growth and division for Laboratory of Computational Physics — Mode B.

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