TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhys.7.5.062
TI  - Real-time discrimination of photon pairs using machine learning at the LHC
PY  - 2019/11/13
UR  - https://scipost.org/SciPostPhys.7.5.062
JF  - SciPost Physics
JA  - SciPost Phys.
VL  - 7
IS  - 5
SP  - 062
A1  - Benson, Sean
AU  - Casais Vidal, Adrián
AU  - Cid Vidal, Xabier
AU  - 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 $pp$ 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$/c^{2}$. We discuss implications and future prospects for the LHCb experiment.
ER  -

@Article{10.21468/SciPostPhys.7.5.062,
	title={{Real-time discrimination of photon pairs using machine learning at the LHC}},
	author={Sean Benson and Adrián Casais Vidal and Xabier Cid Vidal and Albert Puig Navarro},
	journal={SciPost Phys.},
	volume={7},
	pages={062},
	year={2019},
	publisher={SciPost},
	doi={10.21468/SciPostPhys.7.5.062},
	url={https://scipost.org/10.21468/SciPostPhys.7.5.062},
}