3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
-
Updated
Jun 22, 2024 - Jupyter Notebook
3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
Machine Learning Application in HEP for improving signal significance for ALICE data, LHC-CERN
Mathematics.(LHC commmmonnnnnn 加油!)gasssss gassssssss gasssss
Add a description, image, and links to the lhc-cern topic page so that developers can more easily learn about it.
To associate your repository with the lhc-cern topic, visit your repo's landing page and select "manage topics."