71 citations · 111 across the 4 of their papers we have counts for
4 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…
Search for massive long-lived particles decaying semileptonically in the LHCb detector
LHCb collaboration, R. Aaij, B. Adeva +767
A search is presented for massive long-lived particles decaying into a muon and two quarks. The dataset consists of proton-proton interactions at centre-of-mass energies of 7 and 8…
A direct probe of the intrinsic charm content of the proton
Tom Boettcher, Philip Ilten, Mike Williams
Measurement of bosons produced in association with charm jets in proton-proton collisions in the forward region provides a direct probe of a potential non-perturbative (…