The workshop brings together high energy physicists to discuss the recent progress in the development of b and c jet identification techniques and its application to physics analyses at CMS. The main topics of the workshop will cover the latest improvements in the simulation of heavy hadron production at the LHC, the application of deep learning techniques to the identification of displaced reconstructed objects, as well as the latest results from various physics analyses exploiting heavy flavour identification methods.
The main topics of the workshop include:
• Simulation of b hadron production and decay
• Reconstruction of tracks and vertices
• Identification algorithms for heavy flavour jets
• Performance of heavy flavour tagging in data
• Jet substructure and heavy flavour tagging in boosted topologies
• Application of heavy flavour tagging in physics analysis
• Heavy flavour tagging at future colliders
The last 2 days of the workshop (May 2-3) will be devoted to open discussions together with event generator and theory experts and representatives from other experiments, while the first 2 days (April 30-May 1) will be dedicated to CMS internal sessions in the following days.