A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

B.O. El Bashir; D. Liventsev; D. Ricalde-Herrmann; D. Rodriguez Perez; E. De La Cruz-Burelo; G. Bonvicini; G. Tejeda-Mu\~noz; H. Farhat; I. Dom\'inguez; J. Flanagan

arxiv: 2206.11709 · v2 · pith:WM2YDOUZnew · submitted 2022-06-23 · ⚛️ physics.acc-ph · hep-ex

A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

S. Di Carlo , G. Bonvicini , N.A. Althubiti , R.Ayad , E. De La Cruz-Burelo , I. Dom\'inguez , B.O. El Bashir , H. Farhat

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J. Flanagan R. Gillard S. Izaguirre Gamez K. Kanazawa K. Kumara D. Liventsev P.L.M. Podesta-Lerma D. Ricalde-Herrmann D. Rodriguez Perez G. Tejeda-Mu\~noz M. Tobiyama I. Heredia de la Cruz

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classification ⚛️ physics.acc-ph hep-ex

keywords beamstrahlungbeamnetworkneuralparameterssuperkekbangleapproach

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This work shows how it is possible to reconstruct SuperKEKB's beam parameters using a Neural Network with beamstrahlung signal from the Large Angle Beamstrahlung Monitor (LABM) as input. We describe the device, the model, and discuss the results.

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A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

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