L2LFlows: Generating High-Fidelity 3D Calorimeter Images

This upload contains the datasets used in arXiv:2302.11594. The file <em>g4-showers_950k_10x10_train_val_test.pt</em> contains the <strong>760k training</strong>, <strong>95k validation</strong> and <strong>95k test</strong> showers as well as their incident energies. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - <em>import torch </em> <em>list_tensors = torch.load(args.file_path)</em> <em>for (idx, tensor) in enumerate(list_tensors):</em> <em> [showers_train, showers_val, showers_test, inc_energies_train, inc_energies_val, inc_energies_test] = list_tensors</em> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - The file <em>g4-showers_665k_10x10_test.pt</em> contains 665k additional showers that were used for the classifier scaling studies, in addition to the 95k test showers from the file <em>g4-showers_950k_10x10_train_val_test.pt</em>. It should be loaded as follows: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - <em>import torch</em> <em>list_tensors = torch.load("g4-showers_950k_10x10_train_val_test.pt") </em> <em>[showers_geant, inc_energies_geant] = list_tensors</em> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - A detailed description of how the datasets were simulated can be found in the paper.