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arXiv · 1906.09058

Real-time discrimination of photon pairs using machine learning at the LHC

Sean Benson·Adrián Casais Vidal·Xabier Cid Vidal·Albert Puig Navarro
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Abstract

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.

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Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro. 2019-06-21. Real-time discrimination of photon pairs using machine learning at the LHC. https://doi.org/10.21468/scipostphys.7.5.062

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