Real-time discrimination of photon pairs using machine learning at the LHC
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...
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2019-11-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.7.5.062 |
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doaj-de0fd8d4049d42259c9e0f1b6725bb312020-11-25T00:56:31ZengSciPostSciPost Physics2542-46532019-11-017506210.21468/SciPostPhys.7.5.062Real-time discrimination of photon pairs using machine learning at the LHCSean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig NavarroALP-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.https://scipost.org/SciPostPhys.7.5.062 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro |
| spellingShingle |
Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro Real-time discrimination of photon pairs using machine learning at the LHC SciPost Physics |
| author_facet |
Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro |
| author_sort |
Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro |
| title |
Real-time discrimination of photon pairs using machine learning at the LHC |
| title_short |
Real-time discrimination of photon pairs using machine learning at the LHC |
| title_full |
Real-time discrimination of photon pairs using machine learning at the LHC |
| title_fullStr |
Real-time discrimination of photon pairs using machine learning at the LHC |
| title_full_unstemmed |
Real-time discrimination of photon pairs using machine learning at the LHC |
| title_sort |
real-time discrimination of photon pairs using machine learning at the lhc |
| publisher |
SciPost |
| series |
SciPost Physics |
| issn |
2542-4653 |
| publishDate |
2019-11-01 |
| description |
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. |
| url |
https://scipost.org/SciPostPhys.7.5.062 |
| work_keys_str_mv |
AT seanbensonadriancasaisvidalxabiercidvidalalbertpuignavarro realtimediscriminationofphotonpairsusingmachinelearningatthelhc |
| _version_ |
1725226778377584640 |