activity
20172020
most citedMeasurement of the production cross-section in pp collisions at 7 and 13 TeV

45 citations · 46 across the 2 of their papers we have counts for

collaborators

5 papers

physics.ins-det20201 cited

An updated hybrid deep learning algorithm for identifying and locating primary vertices

Simon Akar, Thomas J. Boettcher, Sarah Carl +5

We present an improved hybrid algorithm for vertexing, that combines deep learning with conventional methods. Even though the algorithm is a generic approach to vertex finding, we…

hep-ex2019

Search for violation and observation of violation in decays

LHCb collaboration, R. Aaij, C. Abellán Beteta +902

A search for violation in the decay is performed using LHCb data corresponding to an integrated luminosity of 6.6 collected in coll…

physics.ins-det2019

A hybrid deep learning approach to vertexing

Rui Fang, Henry F Schreiner, Michael D Sokoloff +2

In the transition to Run 3 in 2021, LHCb will undergo a major luminosity upgrade, going from 1.1 to 5.6 expected visible Primary Vertices (PVs) per event, and will adopt a purely s…

hep-ex2018

Design and performance of the LHCb trigger and full real-time reconstruction in Run 2 of the LHC

R. Aaij, S. Akar, J. Albrecht +138

The LHCb collaboration has redesigned its trigger to enable the full offline detector reconstruction to be performed in real time. Together with the real-time alignment and calibra…

hep-ex201745 cited

Measurement of the production cross-section in pp collisions at 7 and 13 TeV

LHCb collaboration, R. Aaij, B. Adeva +796

The production of mesons is studied in collisions at centre-of-mass energies of 7 and 13 TeV, using decays and data samples correspon…