Machine learning techniques for jet reconstruction at LHCb and application to the search for H b b and H c c in s=13 TeV pp collisions

Key Points

• Observational analysis improves jet reconstruction in searches for H to b b and H to c c decays.
• Significant accuracy enhancements of over 15% are noted in precision measurements.
• Utilization of advanced machine learning techniques facilitates data analysis in high-energy physics.
• These techniques may enable better identification of Higgs boson decay channels, enhancing future experiments.