Worked on enhancing the documentation quality of the XENONnT/fuse repository, focusing on the example notebooks that demonstrate simulation workflows. The primary effort involved refining the clarity and readability of these Jupyter Notebook examples, with careful attention to reducing ambiguity in how simulation results are presented and interpreted. Applied code refactoring and technical writing skills to fix typographical errors, clarify code sections, and improve overall user experience. These improvements aimed to make onboarding easier for new users and to establish higher documentation standards, supporting future maintenance and collaboration. The work was conducted using Python and emphasized actionable, user-friendly documentation practices.