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A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung
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.
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/j.nima.2022.167453 http://cds.cern.ch/record/2815639 |
_version_ | 1780973527392845824 |
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author | Di Carlo, S. Bonvicini, G. Althubiti, N.A. Ayad, R. De La Cruz-Burelo, E. Domínguez, I. Bashir, B.O. El Farhat, H. Flanagan, J. Gillard, R. Gamez, S. Izaguirre Kanazawa, K. Kumara, K. Liventsev, D. Podesta-Lerma, P.L.M. Ricalde-Herrmann, D. Perez, D. Rodriguez Tejeda-Muñoz, G. de la Cruz, M. Tobiyama I. Heredia |
author_facet | Di Carlo, S. Bonvicini, G. Althubiti, N.A. Ayad, R. De La Cruz-Burelo, E. Domínguez, I. Bashir, B.O. El Farhat, H. Flanagan, J. Gillard, R. Gamez, S. Izaguirre Kanazawa, K. Kumara, K. Liventsev, D. Podesta-Lerma, P.L.M. Ricalde-Herrmann, D. Perez, D. Rodriguez Tejeda-Muñoz, G. de la Cruz, M. Tobiyama I. Heredia |
author_sort | Di Carlo, S. |
collection | CERN |
description | 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. |
id | cern-2815639 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28156392023-04-07T02:51:57Zdoi:10.1016/j.nima.2022.167453http://cds.cern.ch/record/2815639engDi Carlo, S.Bonvicini, G.Althubiti, N.A.Ayad, R.De La Cruz-Burelo, E.Domínguez, I.Bashir, B.O. ElFarhat, H.Flanagan, J.Gillard, R.Gamez, S. IzaguirreKanazawa, K.Kumara, K.Liventsev, D.Podesta-Lerma, P.L.M.Ricalde-Herrmann, D.Perez, D. RodriguezTejeda-Muñoz, G.de la Cruz, M. Tobiyama I. HerediaA Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlungParticle Physics - ExperimentAccelerators and Storage RingsThis 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.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.arXiv:2206.11709oai:cds.cern.ch:28156392022-06-23 |
spellingShingle | Particle Physics - Experiment Accelerators and Storage Rings Di Carlo, S. Bonvicini, G. Althubiti, N.A. Ayad, R. De La Cruz-Burelo, E. Domínguez, I. Bashir, B.O. El Farhat, H. Flanagan, J. Gillard, R. Gamez, S. Izaguirre Kanazawa, K. Kumara, K. Liventsev, D. Podesta-Lerma, P.L.M. Ricalde-Herrmann, D. Perez, D. Rodriguez Tejeda-Muñoz, G. de la Cruz, M. Tobiyama I. Heredia A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title | A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title_full | A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title_fullStr | A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title_full_unstemmed | A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title_short | A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung |
title_sort | neural network approach to reconstructing superkekb beam parameters from beamstrahlung |
topic | Particle Physics - Experiment Accelerators and Storage Rings |
url | https://dx.doi.org/10.1016/j.nima.2022.167453 http://cds.cern.ch/record/2815639 |
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