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This milestone focuses on adapting WaveDiff for real data processing.
Objectives:

Add train-test split function to wf_psf.data package (either to data_handler.py or other module)
Update SHE_PSF_WaveDiff_Utils/image_processing_utils module with flux normalisation function
Add a dedicated module(s) : star_select_outlier_removal.py to the wf_psf.data package with method(s) (including helper methods) to perform heavy Central Masking detection and outlier detection (using trained model) and Removal
Parent config file specifying outlier removal methods to execute at run-time

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