Resources for the COST CA242146 Tutorial on Generative Models for High-Energy Physics
Abstract
This record contains the resources accompanying the hands-on tutorial "Diffusion Models as High-Energy Physics Surrogates", prepared for COST Action CA242146. The files are intended for educational purposes and are used in the accompanying Jupyter notebook and GitHub repository. Contents tutorial_calorimeter_showers.h5 HDF5 dataset containing calorimeter shower images and corresponding energy labels used for training a conditional DDPM. Checkpoint files Pre-trained model checkpoints used during the tutorial to demonstrate checkpoint loading, resume training, and sample generation without requiring participants to train the model from scratch. These resources are designed for the accompanying hands-on tutorial and are not intended as a benchmark dataset. For the tutorial notebook and source code, please refer to the associated GitHub repository.
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