6 citations · 7 across the 2 of their papers we have counts for
5 papers
Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices
Simon Akar, Gowtham Atluri, Thomas Boettcher +7
The locations of proton-proton collision points in LHC experiments are called primary vertices (PVs). Preliminary results of a hybrid deep learning algorithm for identifying and lo…
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…
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…
Physics case for an LHCb Upgrade II - Opportunities in flavour physics, and beyond, in the HL-LHC era
LHCb collaboration, I. Bediaga, M. Cruz Torres +828
The LHCb Upgrade II will fully exploit the flavour-physics opportunities of the HL-LHC, and study additional physics topics that take advantage of the forward acceptance of the LHC…
Machine learning and parallelism in the reconstruction of LHCb and its upgrade
Marian Stahl
After a highly successful first data taking period at the LHC, the LHCb experiment developed a new trigger strategy with a real-time reconstruction, alignment and calibration for R…