RT Journal Article
T1 Real-time discrimination of photon pairs using machine learning at the LHC
A1 Benson, Sean
A1 Casais Vidal, Adrián
A1 Cid Vidal, Xabier
A1 Puig Navarro, Albert
AB ALP-mediated decays and other as-yet unobserved B decays to di-photon final states are a challenge to select in hadron collider environments due to the large backgrounds that come directly from the p p collision. We present the strategy implemented by the LHCb experiment in 2018 to efficiently select such photon pairs. A fast neural network topology, implemented in the LHCb real-time selection framework achieves high efficiency across a mass range of 4−20 GeV/c2. We discuss implications and future prospects for the LHCb experiment
PB SciPost Foundation
YR 2019
FD 2019
LK http://hdl.handle.net/10347/21663
UL http://hdl.handle.net/10347/21663
LA eng
NO Benson, S., Casais Vidal, A., Cid Vidal, X., & Puig Navarro, A. (2019). Real-time discrimination of photon pairs using machine learning at the LHC. Scipost Physics, 7(5). doi: 10.21468/scipostphys.7.5.062
DS Minerva
RD 4 may 2026