Vilnius University of Applied Sciences

output

20082026

most citedMeasurements of polarization and spin correlation and observation of entanglement in top quark pairs using lepton+jets events from proton-proton collisions at

s

= 13 TeV

41 citations

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hep-ex2026

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

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1194

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…

Machine learning techniques for jet reconstruction at LHCb and application to the search for H→bbˉ and H→ccˉ in s​=13 TeV pp collisions

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