Worked on enhancing the QENS analysis pipeline within the ess-dmsc-dram/dmsc-school repository by expanding the minimum value of the omega_0 parameter from 0 to -2.0e-3. This adjustment, implemented in Python, broadened the range of parameter exploration available to users, supporting more robust model fitting and scientific discovery. The update included careful modifications to both the Markdown documentation and the notebook parameter definitions, ensuring clarity and reproducibility for future analyses. Leveraging skills in data analysis and scientific computing, the work focused on improving analytical flexibility while maintaining compatibility with existing workflows and minimizing disruption to established processes.