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Last indexation completed on 2025-10-13 09:45:02 UTC

Geant4 - an Object-Oriented Toolkit for Simulation in HEP
Example Par04
This example demonstrates how to use the Machine Learning (ML) inference to create energy deposits as a fast simulation model using ONNX Runtime [1], LWTNN [2], and LibTorch [3] libraries.


SEE ALSO: README

  Name Size Date (UTC) Last indexed Description
  Name Size Date (UTC) Last indexed Description
folder Parent directory - 2025-10-13 07:01:23

Geant4 extended examples - parameterisations
Examples in this directory demonstrate use of parameterisation libraries. Currently, two examples are provided:
Par01


SEE ALSO: README

folder cmake/ - 2025-10-13 07:01:23  
folder include/ - 2025-10-13 07:01:23  
folder src/ - 2025-10-13 07:01:23  
folder training_calodit/ - 2025-10-13 07:01:23  
folder training_vae/ - 2025-10-13 07:01:23  
CMakeLists.txt 7394 bytes 2025-10-13 07:01:23 -  
common_settings_highgran.mac 722 bytes 2025-10-13 07:01:23 -  
common_settings_lowgran.mac 720 bytes 2025-10-13 07:01:23 -  
common_settings_postInit.mac 59 bytes 2025-10-13 07:01:23 -  
common_settings_vis.mac 2547 bytes 2025-10-13 07:01:23 -  
examplePar04.cc 8456 bytes 2025-10-13 07:01:23 2025-10-13 08:28:39  
examplePar04.mac 513 bytes 2025-10-13 07:01:23 -  
examplePar04.out 4169 bytes 2025-10-13 07:01:23 -  
examplePar04_lwtnn_vae.mac 1195 bytes 2025-10-13 07:01:23 -  
examplePar04_onnx_calodit.mac 1477 bytes 2025-10-13 07:01:23 -  
examplePar04_onnx_vae.mac 1702 bytes 2025-10-13 07:01:23 -  
examplePar04_torch_calodit.mac 1047 bytes 2025-10-13 07:01:23 -  
examplePar04_torch_vae.mac 1268 bytes 2025-10-13 07:01:23 -  
History 2656 bytes 2025-10-13 07:01:23 -  
README 14695 bytes 2025-10-13 07:01:23 -  
vis.mac 495 bytes 2025-10-13 07:01:23 -  
vis_lwtnn_vae.mac 1137 bytes 2025-10-13 07:01:23 -  
vis_onnx_calodit.mac 1050 bytes 2025-10-13 07:01:23 -  
vis_onnx_vae.mac 1283 bytes 2025-10-13 07:01:23 -  
vis_torch_calodit.mac 981 bytes 2025-10-13 07:01:23 -  
vis_torch_vae.mac 1136 bytes 2025-10-13 07:01:23 -  
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