activity
20102026
most citedObservation of a narrow pentaquark state, , and of two-peak structure of the

738 citations · 12.6k across the 377 of their papers we have counts for

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8 papers · 1 filter

hep-ex2026

New measurements of decays into single charm final states

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1132

Using proton-proton collision data corresponding to an integrated luminosity of collected by the LHCb experiment, searches are performed for mesons d…

hep-ex2026

Measurement of the muon neutrino charged-current cross section with SND@LHC

LHC Collaboration, D. Abbaneo, S. Ahmad +163

We report a measurement of the muon neutrino charged-current (CC) interaction cross section on tungsten using the electronic detectors of the SND@LHC experiment at the CERN Large H…

hep-ex2026

Study of the Run-3 muon flux at the SND@LHC experiment

LHC Collaboration

Long-range muons produced in proton-proton collisions at the ATLAS interaction point constitute the primary background for neutrino interaction searches at the SND@LHC experiment.…

hep-ex2026

Improved branching-fraction measurements of decays and first observation of

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1123

This paper presents a study of the charmless three-body decays (where ), using a sample of collision d…

hep-ex2026

Measurement of the Muon Flux at SND@LHC: Results from the 2023-2025 Proton and Heavy-Ion Periods

LHC Collaboration

The SND@LHC experiment investigates neutrinos in the forward pseudorapidity range. The detector consists of a veto system, a scintillating fiber tracker interleaved…

hep-ex2026

SND@LHC Upgrade for the High-Luminosity LHC: Physics Reach and Installation Scenarios

LHC Collaboration

The SND@LHC experiment is currently taking data at the Large Hadron Collider (LHC), exploring the unique forward region at pseudorapidities from 7.2 to 8.4. Its physics programme c…

hep-ex2026

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…

hep-ex2026

Search for lepton-number-violating decays

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1188

A search is performed for lepton-number-violating decays, using data collected by the LHCb experiment in proton-proton collisions at a center-of-mass energy…