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### NOTICE: This code is owned and funded by UKRI (https://www.ukri.org/) As it was written during my industrial placement (Jun 2025 - Aug 2026) ### This code is a comprehenisive piece of code written using AI assisted workflows to optimise. It takes PHS data from a custom scitnillating tile testing rig and analyses it using a gaussian fitting, with a polynomial fitting as a backup. It then determines peak prominence and selects the best peak to be added to a CSV which can be used for data analysis and visualisation, guiding key design decisions thoughout my time at the ISIS Neutron and Muon Source