A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung

Journal article

Peer reviewed

S. Di Carlo, G. Bonvicini, N. A. Althubiti, R. Ayad, E. De La Cruz-Burelo, I. Domínguez, B. O. El Bashir, H. Farhat, J. Flanagan, R. Gillard, …

Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, Vol.1042(C), p.167453

01/11/2022

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Title: A Neural Network approach to reconstructing SuperKEKB beam parameters from beamstrahlung
Creators - without role: S. Di Carlo - European Organization for Nuclear Research
G. Bonvicini - Wayne State University
N. A. Althubiti - Al Jouf University
R. Ayad - University of Tabuk
E. De La Cruz-Burelo - Center for Research and Advanced Studies of the National Polytechnic Institute
I. Domínguez - Autonomous University of Sinaloa
B. O. El Bashir - ORCID:0000000343507218
H. Farhat - Wayne State University
J. Flanagan
R. Gillard - Wayne State University
S. Izaguirre Gamez
K. Kanazawa - High Energy Accelerator Research Organization
K. Kumara - Wayne State University
D. Liventsev - Wayne State University
P. L. M. Podesta-Lerma - Autonomous University of Sinaloa
D. Ricalde-Herrmann - Wayne State University
D. Rodriguez Perez - ORCID:000000018505649X
G. Tejeda-Muñoz - Benemérita Universidad Autónoma de Puebla
M. Tobiyama - High Energy Accelerator Research Organization
I. Heredia de la Cruz - ORCID:0000000281336467
Publication Details: Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, Vol.1042(C), p.167453
Publisher: Elsevier
Identifiers: 9912354008331
Academic Unit: Al Jouf University; University of Tabuk
Language: English
Resource Type: Journal article