J. S. Li

collaborators

2 papers

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 +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…

hep-ex2026

Search for the radiative decay $D_{s}^{+} \to I^^{3} K^{*} (892)^{+}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +756

Using 7.33 fb $^{- 1}$ of $e^{+} e^{-}$ collision data samples collected with the BESIII detector at center-of-mass energies between 4.128 and 4.226 GeV, we perform a simultaneous fit to…

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

Search for the radiative decay Ds+​→I^3K∗(892)+

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

Search for the radiative decay $D_{s}^{+} \to I^^{3} K^{*} (892)^{+}$