6 citations · 14 across the 16 of their papers we have counts for
15 papers · 1 filter
Discovery of an unexpectedly light and narrow beauty-strange state
LHCb collaboration, R. Aaij, M. Abdelfatah +1152
As the essential building blocks of visible matter, hadrons have traditionally been classified by the quark model as mesons composed of quark-antiquark pairs and baryons built from…
Resolution of outstanding puzzles in decays
LHCb collaboration, R. Aaij, M. Abdelfatah +1116
An amplitude analysis of decays is presented, based on collision data recorded with the LHCb detector in 2011--2012, corresponding to an integrated lum…
Amplitude analysis of decays
LHCb collaboration, R. Aaij, M. Abdelfatah +1116
The branching fractions and quasi-two-body -violating asymmetries of intermediate states obtained through an amplitude analysis of the charmless three-body decay $B^+ \!\to K…
Model-independent measurement of the transversity amplitudes of the decay
LHCb collaboration, R. Aaij, M. Abdelfatah +1154
An analysis of the decay amplitudes of is presented, using proton-proton collision data recorded by the LHCb experiment at centre-of-mass energie…
Observation of the charmless purely baryonic decay
LHCb collaboration, R. Aaij, M. Abdelfatah +1103
A search for the charmless purely baryonic decay is performed using proton-proton collision data recorded by the LHCb experi…
Measurement of using and decays with and
LHCb collaboration, R. Aaij, M. Abdelfatah +1105
A measurement of the CKM angle using the decay channels and , where the meson decays to $D\rightarrow K_{\rm S}^{…
Machine learning techniques for jet reconstruction at LHCb and application to the search for and in TeV 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…
Measurement of charged-hadron distributions in heavy-flavor jets in proton-proton collisions at =13 TeV
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1174
Charged-hadron distributions in heavy-flavor jets are measured in proton-proton collisions at a center-of-mass energy of = 13 TeV collected by the LHCb experiment. Distr…
Search for decays at LHCb
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1183
A search for decays is performed using proton-proton collision data collected by the LHCb experiment at a centre-of-mass en…
Deuteron identification via time of flight with LHCb
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1183
It is shown that the timing capabilities of the LHCb detector operated during the LHC Run 2 can be used to identify light ion particles with momenta of a few GeV/. This is achie…
Search for the decay
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1160
A search for the decay is made using collision data collected with the LHCb detector at centre-of-mass energies of 7, 8 and 13 TeV, corresponding to an in…
Improved measurement of mixing in decays
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1182
Branching fraction ratios between the decays are measured using proton-proton collision data collected by the LHCb experiment at centre-of…
Three-pion Bose-Einstein correlations measured in proton-proton collisions
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1128
A study on the Bose-Einstein correlations for triplets of same-sign pions is presented. The analysis is performed using proton-proton collisions at a centre-of-mass energy of $\sqr…
Measurement of the Lund plane for light- and beauty-quark jets
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1136
The substructure of jets in quantum chromodynamics (QCD) has garnered significant attention with the advent of infrared- and collinear-safe clustering algorithms and observables. A…
Observation of the doubly-charmed-baryon decay
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1134
A search for the doubly-charmed-baryon decay is performed using proton-proton collision data collected by the LHCb experiment at a c…