Machine learning techniques for jet reconstruction at LHCb and application to the search for $H\to b\bar{b}$ and $H\to c\bar{c}$ in $\sqrt{s}=13$ TeV $pp$ collisions

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1210

Two machine learning techniques for jet measurements at the LHCb experiment are presented: a regression-based method for jet-energy calibration and a deep neural network algorithm…